Tag: Nonlinear optics

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  • On-chip multi-degree-of-freedom control of two-dimensional materials

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  • Tunable entangled photon-pair generation in a liquid crystal

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    Material and sample preparation

    The material used in this study is FNLC-1751 supplied by Merck Electronics KGaA. FNLC-1751 shows a stable ferroelectric nematic phase at room temperature, with the phase sequence Iso 87 °C, N 57° C, M2 45 °C, NF on cooling, where Iso refers to the isotropic phase, N to the non-polar nematic phase, M2 to the so-described splay modulated antiferroelectric nematic phase2,44,45 and NF to the ferroelectric nematic phase.

    The material was confined in glass LC cells filled by capillary forces at 100 °C in the isotropic phase. We used both commercially available and homemade cells. In the latter case, soda-lime-glass square 2 cm × 2 cm plates coated with a transparent indium-tin-oxide conductive layer were assembled with plastic bead (EPOSTAR) spacers to achieve a variety of cells with different thicknesses ranging from 7 μm to 8 μm. In the bottom glass, indium-tin-oxide electrodes with a 500-μm gap prepared by etching created the applied in-plane fields. In addition, both plates were treated with a 30% solution of polyimide SUNEVER 5291 (Nissan) film and rubbed to achieve orientational in-plane anchoring (planar alignment) of the LC. Combinations of different relative rubbing directions of the top and bottom glass plates (0, π/2 or π) result in different twist structures of the LC sample in the ferroelectric nematic phase5,13,46. In the three cases, the electrode glass was rubbed along the gap. In-plane switching LC cells purchased from Instec were used for switching experiments on π-twisted structures. The cells had interdigitated electrodes in one of the substrates with alternating polarity; both the electrode width and the gap between them were 15 μm. The surfaces had antiparallel rubbing along the electrodes (aligning agent KPI300B).

    After filling at 95 °C, the sample was brought to room temperature by controllably decreasing the temperature at a rate of 0.5 °C min−1. In the case of initially large domains breaking down into smaller ones after applying large voltages, the initial configuration was restored by reheating the samples and subsequent controlled cooling back to room temperature. The quality of the achieved alignment was inspected via polarizing optical microscopy and comparison with transmission spectra simulations (Berreman 4 × 4 matrix method performed with the open software package ‘dtmm’47, cell thickness 7.6 μm, and ordinary and extraordinary refractive indices as given in Extended Data Fig. 2).

    Photon-pair generation and detection

    The scheme of the experimental set-up used for photon-pair generation and detection is depicted in Extended Data Fig. 5. As a pump, we used a continuous-wave pigtailed single-mode fibre diode laser with a central wavelength of 685 nm. After the power and polarization control, the pump beam was focused into the LC cell with a focusing spot size of 5 μm. The maximum delivered pump power did not exceed 10 mW. A function generator applied to the cell an electric field with different time profiles (Fig. 2). The generated photon pairs were collected with a lens with a numerical aperture of 0.69. Then a set of long-pass filters with a cut-on wavelength no longer than 1,250 nm cut the pump and short-wavelength photoluminescence from the sample and the optical elements of the set-up. Photon pairs were further sent into a Hanbury Brown–Twiss-like (HBT) set-up comprising a non-polarizing beamsplitter and two superconducting nanowire single-photon detectors (SNSPDs). At each output of the non-polarizing beamsplitter, we placed a set of a half-wave plate, a quarter-wave plate and a polarizing beamsplitter, which acted as a polarization filter. The arrival time differences between the pulses of both SNSPDs were registered by a time-tagging device.

    Two-photon spectrum measurement

    As the SPDC radiation from an 8-μm layer is extremely weak, direct measurement of the two-photon spectrum (that is, with a spectrometer or optical spectrum analyser) is nearly impossible. Therefore, we measured the spectrum of the detected photon pairs via single-photon fibre spectroscopy28. Before one of the SNSPDs, we inserted a 2-km-long dispersion-shifted fibre with a zero-dispersion wavelength at 1.68 μm. Owing to the dispersion of the fibre, the photon wavepacket stretched in time, resulting in a spread of the coincidence peak, which then inherited the spectrum’s features and the spectral losses of the set-up. We acquired the coincidence histogram with different sets of spectral filters (Extended Data Fig. 6a) to map the arrival time differences to the corresponding wavelengths of the dispersed photon. The calibration curve (Extended Data Fig. 6b) was obtained by fitting the reference points with a quadratic polynomial function. However, the spectrum is strongly affected by the spectral losses of the set-up and the dispersive fibre. For that reason, we additionally measured the spectrum of photon pairs generated in a thin (7 μm) layer of LiNbO3 (Extended Data Fig. 6c), where the generated two-photon spectrum is mostly flat, up to a modulation by the Fabry–Pérot effect inside the layer. We then used the spectrum of photon pairs from the LiNbO3 wafer as a reference spectrum.

    Two-photon-state reconstruction

    We performed quantum tomography to reconstruct the two-photon polarization state generated in the LC. The procedure is analogous to measuring the Stokes parameters for classical light or a single photon. By measuring the pair detection rates for different polarization states filtered in the two arms of the HBT set-up, we were able to reconstruct the density matrix of the two-photon state. As there is no prior assumption about the generated two-photon state, we performed all 9 required measurements for the reconstruction of the 3 × 3 density matrix. The full protocol is described in Extended Data Fig. 7. The values in the table refer to the orientation of the fast axis of each wave plate with respect to the horizontal direction. It is worth mentioning that the described protocol does not take into account the mirroring effect of polarization in the reflected arm of the HBT set-up. Therefore, either the angles of the wave plates in the reflected arm must be changed to the opposite values, or an odd number of mirrors must be used in the reflected arm of the HBT set-up. The protocol used for the qutrit state reconstruction is the reduced version of the protocol for the reconstruction of the two-photon polarization state with two distinguishable photons (ququart state)30.

    To avoid systematic errors in the density-matrix reconstruction, we additionally post-processed the measured data using the maximum likelihood method. The maximum likelihood method aims to find the density matrix closest to the measured one that satisfies all basic physical properties of a density matrix. We used a procedure similar to the one described in ref. 30 with minor modifications (Supplementary Information Section 4).

    Theoretical model of SPDC in LCs

    We developed a theoretical model to predict the polarization two-photon state generated via SPDC in a nonlinear LC with an arbitrary but linear molecular orientation twist along the cell. The goal is to determine the complex amplitudes of the polarization two-photon state C1, C2 and C3 from equation (1). We assumed a single-mode, collinear and frequency-degenerate photon-pair generation in the plane-wave approximation for simplicity. However, the model can be further extended towards the multi-mode regime of SPDC with realistic angular and frequency spectra, as well as for the case of a non-gradual molecular twist.

    Owing to weak interaction, we can use perturbation theory for the unitary transformation of the state vector48. The state can be written as

    $$|\varPsi \rangle =|{\rm{v}}{\rm{a}}{\rm{c}}\rangle +C{\int }_{-L}^{0}{\rm{d}}z{\hat{\chi }}^{(2)}(z)\,\vdots \,{{\bf{e}}}_{{\rm{s}}}^{\ast }(z){{\bf{e}}}_{{\rm{i}}}^{\ast }(z){{\bf{e}}}_{{\rm{p}}}(z){a}_{{\rm{s}}}^{\dagger }{a}_{{\rm{i}}}^{\dagger }|{\rm{v}}{\rm{a}}{\rm{c}}\rangle ,$$

    (2)

    where \({a}_{{\rm{s}}}^{\dagger }\) and \({a}_{{\rm{i}}}^{\dagger }\) are the photon creation operators for signal and idler photons, respectively, each of them defined in some polarization eigenmode, χ(2)(z) is the second-order nonlinear tensor, and the polarization vectors es,i,p(z) also encode the phase accumulation during the propagation along the crystal of length L. Variable z marks the direction of propagation. The constant C contains only the information about the overall generation efficiency and, therefore, is of no interest to us.

    For convenience, we use two polarization bases instead of the polarization eigenmodes. The first basis is a standard linear polarization basis with horizontal and vertical polarizations determined with respect to the laboratory coordinate system, {H, V}. In this basis, the two-photon polarization state can be expressed as a qutrit state (1) as two photons are assumed to be indistinguishable in all other Hilbert spaces apart from polarization32. The final goal of the calculations is to determine complex amplitudes C1,2,3 from equation (1). As the molecular orientation changes along the crystal and implies the spatial modulation of the nonlinearity, it is more convenient to calculate the convolution of the χ(2) tensor with the polarization vectors of the interacting photons in the second basis aligned with the instant orientation of the molecules, {e, o}. We denote the corresponding projections with indices e and o for the linear polarization along and orthogonal to the instant molecular orientation, respectively. Instead of the χ(2) tensor, we use the standard notation of the Kleinman d tensor. Therefore, the convolution is written as

    $$\begin{array}{l}{\hat{\chi }}^{(2)}\,\vdots \,{{\bf{e}}}_{{\rm{s}}}^{\ast }{{\bf{e}}}_{{\rm{i}}}^{\ast }{{\bf{e}}}_{{\rm{p}}}={{e}_{{\rm{s}}}^{{\rm{o}}}}^{\ast }{{e}_{{\rm{i}}}^{{\rm{o}}}}^{\ast }({d}_{22}\,{e}_{{\rm{p}}}^{{\rm{o}}}+{d}_{32}\,{e}_{{\rm{p}}}^{{\rm{e}}})+{{e}_{{\rm{s}}}^{{\rm{e}}}}^{\ast }{{e}_{{\rm{i}}}^{{\rm{e}}}}^{\ast }({d}_{23}\,{e}_{{\rm{p}}}^{{\rm{o}}}+{d}_{33}\,{e}_{{\rm{p}}}^{{\rm{e}}})\,+\\ \,\,\,\,\,\,+\,({{e}_{{\rm{s}}}^{{\rm{e}}}}^{\ast }{{e}_{{\rm{i}}}^{{\rm{o}}}}^{\ast }+{{e}_{{\rm{s}}}^{{\rm{o}}}}^{\ast }{{e}_{{\rm{i}}}^{{\rm{e}}}}^{\ast })({d}_{24}\,{e}_{{\rm{p}}}^{{\rm{o}}}+{d}_{34}\,{e}_{{\rm{p}}}^{{\rm{e}}}),\end{array}$$

    (3)

    where the polarization basis vectors and the tensor components are functions of z, and the convolution is defined in the local coordinate system of the molecules. The z direction is defined in the same way for both bases and denotes the photon propagation direction along the crystal.

    To calculate the polarization two-photon state, we consider an LC with a uniform rotation of the molecules along the crystal (Extended Data Fig. 8). At an arbitrarily chosen layer of thickness dz at position z, the pump polarization is modified by all the previous layers it has passed through. The polarization state of photon pairs generated from the corresponding layer dz is further modified by all subsequent layers of the LC. The final state at the output of the crystal is the superposition of all polarizations generated along the crystal. Therefore, to calculate the output two-photon polarization state, we integrate the contribution of each layer of the LC taking into account the corresponding polarization transformations of both the pump and the incremental photon-pair state generated from each layer.

    To calculate the propagation of the pump, the initial pump polarization is represented by a Jones vector (Extended Data Fig. 8) in the {H, V} basis. The angle φ0 is defined as the angle between both coordinate systems at the beginning of the sample, that is, the angle between the global coordinate H direction and the extraordinary molecule axis e at the beginning of the sample. The first step is to bring the pump from the global basis to the local basis at the beginning of the sample via rotating the pump Jones vector by φ0:

    $${{\bf{e}}}_{{\rm{p}}}^{{\rm{i}}{\rm{n}}}\,=\,R({\varphi }_{0})\,{{\bf{e}}}_{{\rm{p}}}^{0},$$

    (4)

    where R is the standard rotation matrix. The polarization transformation of light propagating through a twisted nematic LC (TLC) with a uniform twist is described by the corresponding Jones matrix49,50,51

    $$\begin{array}{l}\,{M}_{{\rm{T}}{\rm{L}}{\rm{C}}}={{\rm{e}}}^{{\rm{i}}\phi }\,R(-\varphi )\,M(\varphi ,\beta );\\ M(\varphi ,\beta )=\left(\begin{array}{cc}\cos X+{\rm{i}}\frac{\beta }{X}\sin X & \frac{\varphi }{X}\sin X\\ -\frac{\varphi }{X}\sin X & \cos X-{\rm{i}}\frac{\beta }{X}\sin X\end{array}\right).\end{array}$$

    (5)

    Here, \(\phi =\widetilde{k}l\) is the average phase acquired by both polarizations, with \(\mathop{k}\limits^{ \sim }=\frac{1}{2}({k}^{{\rm{e}}}+{k}^{{\rm{o}}})\) being the average k vector and l being the thickness of the TLC layer performing polarization transformation; φ is the twist angle; \(\beta ={\rm{\pi }}l({n}_{{\rm{e}}}-{n}_{{\rm{o}}})/\lambda =gl\) characterizes birefringence, where we introduce notation \(g=\frac{1}{2}({k}^{{\rm{e}}}-{k}^{{\rm{o}}})\), and no and ne are ordinary and extraordinary refractive indices of the sample at optical wavelength λ, respectively. The additional parameter X is defined as \(X=\sqrt{{\varphi }^{2}+{\beta }^{2}}\).

    At a certain chosen position z, the pump polarization is transformed by the part of the LC from −L to z, with the effective length of this layer being z + L. The pump polarization vector in the local basis at position z then has the form

    $$\left(\begin{array}{c}{e}_{{\rm{p}}}^{{\rm{e}}}(z)\\ {e}_{{\rm{p}}}^{{\rm{o}}}(z)\end{array}\right)={{\rm{e}}}^{{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}(z+L)}M\left(\frac{z+L}{L}\varphi ,(z+L){g}_{{\rm{p}}}\right)R({\varphi }_{0})\left(\begin{array}{c}{e}_{{\rm{p}}}^{{\rm{H}}}\\ {e}_{{\rm{p}}}^{{\rm{V}}}\end{array}\right),$$

    (6)

    where φ denotes the full twist of the sample. We intentionally leave the pump polarization defined in the local basis as it is convenient for calculating its convolution with \({\widehat{\chi }}^{(2)}\). We explicitly write the pump polarization vector at position z in the local basis as a function of the input pump polarization in the {H, V} basis

    $$\begin{array}{c}{e}_{{\rm{p}}}^{{\rm{e}}}(z)=[{t}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{H}}}+{r}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{V}}}]{{\rm{e}}}^{{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}(z+L)},\\ {e}_{{\rm{p}}}^{{\rm{o}}}(z)=[{t}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{V}}}-{r}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{H}}}]{{\rm{e}}}^{{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}(z+L)},\end{array}$$

    (7)

    where

    $$\begin{array}{l}\,{t}_{{\rm{p}}}\,=\,{\xi }_{{\rm{p}}}\cos {\varphi }_{0}-{\mu }_{{\rm{p}}}\sin {\varphi }_{0},\\ \,{r}_{{\rm{p}}}\,=\,{\xi }_{{\rm{p}}}\sin {\varphi }_{0}+{\mu }_{{\rm{p}}}\cos {\varphi }_{0},\\ \,{\xi }_{{\rm{p}}}\,=\,\cos \,\left(\frac{z+L}{L}{X}_{{\rm{p}}}\right)+{\rm{i}}\frac{{g}_{{\rm{p}}}L}{{X}_{{\rm{p}}}}\sin \,\left(\frac{z+L}{L}{X}_{{\rm{p}}}\right),\\ {\mu }_{{\rm{p}}}=\frac{\varphi }{{X}_{{\rm{p}}}}\sin \,\left(\frac{z+L}{L}{X}_{{\rm{p}}}\right),\\ {X}_{{\rm{p}}}=\sqrt{{\varphi }^{2}+{({g}_{{\rm{p}}}L)}^{2}}.\end{array}$$

    (8)

    By inserting these expressions into equation (3), we can find the polarization state of photon pairs generated from a unit layer at position z in the local basis. However, as we are interested in the output polarization state, the polarization of both signal and idler photons must be propagated from z to the end of the crystal in a similar way. This transformation can be written as

    $$\left(\begin{array}{c}{e}_{{\rm{s}},{\rm{i}}}^{{\rm{H}}}\\ {e}_{{\rm{s}},{\rm{i}}}^{{\rm{V}}}\end{array}\right)=R(-{\varphi }_{0}-\varphi ){{\rm{e}}}^{{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{s}},{\rm{i}}}(-z)}M\left(\frac{-z}{L}\varphi ,-z{g}_{{\rm{s}},{\rm{i}}}\right)\left(\begin{array}{c}{e}_{{\rm{s}},{\rm{i}}}^{{\rm{e}}}(z)\\ {e}_{{\rm{s}},{\rm{i}}}^{{\rm{o}}}(z)\end{array}\right),$$

    (9)

    where the photons are propagating from z to 0. The explicit form of the output polarization for the signal and idler photons generated at z is

    $$\begin{array}{c}{e}_{{\rm{s}},{\rm{i}}}^{{\rm{H}}}=[{t}_{{\rm{s}},{\rm{i}}}\,{e}_{{\rm{s}},{\rm{i}}}^{{\rm{e}}}(z)+{r}_{{\rm{s}},{\rm{i}}}\,{e}_{{\rm{s}},{\rm{i}}}^{{\rm{o}}}(z)]{{\rm{e}}}^{-{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{s}},{\rm{i}}}z}\\ {e}_{{\rm{s}},{\rm{i}}}^{{\rm{V}}}=[{t}_{{\rm{s}},{\rm{i}}}^{\ast }\,{e}_{{\rm{s}},{\rm{i}}}^{{\rm{o}}}(z)-{r}_{{\rm{s}},{\rm{i}}}^{\ast }\,{e}_{{\rm{s}},{\rm{i}}}^{{\rm{e}}}(z)]{{\rm{e}}}^{-{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{s}},{\rm{i}}}z},\end{array}$$

    (10)

    with similar notation as before

    $$\begin{array}{l}\,{t}_{{\rm{s}},{\rm{i}}}\,=\,{\xi }_{{\rm{s}},{\rm{i}}}\cos ({\varphi }_{0}+\varphi )+{\mu }_{{\rm{s}},{\rm{i}}}^{\ast }\sin ({\varphi }_{0}+\varphi )\\ \,{r}_{{\rm{s}},{\rm{i}}}\,=\,-{\xi }_{{\rm{s}},{\rm{i}}}^{\ast }\sin ({\varphi }_{0}+\varphi )+{\mu }_{{\rm{s}},{\rm{i}}}\cos ({\varphi }_{0}+\varphi )\\ \,{\xi }_{{\rm{s}},{\rm{i}}}\,=\,\cos \,\left(\frac{-z}{L}{X}_{{\rm{s}},{\rm{i}}}\right)+{\rm{i}}\frac{{g}_{{\rm{s}},{\rm{i}}}L}{{X}_{{\rm{s}},{\rm{i}}}}\sin \,\left(\frac{-z}{L}{X}_{{\rm{s}},{\rm{i}}}\right)\\ {\mu }_{{\rm{s}},{\rm{i}}}\,=\,\frac{\varphi }{{X}_{{\rm{s}},{\rm{i}}}}\sin \,\left(\frac{-z}{L}{X}_{{\rm{s}},{\rm{i}}}\right)\\ {X}_{{\rm{s}},{\rm{i}}}\,=\,\sqrt{{\varphi }^{2}+{({g}_{{\rm{s}},{\rm{i}}}L)}^{2}}.\end{array}$$

    (11)

    To perform convolution (3), equation (10) needs to be reversed to express \({e}_{{\rm{s}},{\rm{i}}}^{{\rm{e}},{\rm{o}}}(z)\) as functions of the outcome polarizations \({e}_{{\rm{s}},{\rm{i}}}^{{\rm{H}},{\rm{V}}}\). With this transformation, alongside equations (3) and (7) the convolution is written as

    $$\begin{array}{l}{\hat{\chi }}^{(2)}\,\vdots \,{{\bf{e}}}_{{\rm{s}}}^{\ast }{{\bf{e}}}_{{\rm{i}}}^{\ast }{{\bf{e}}}_{{\rm{p}}}=[({r}_{{\rm{s}}}\,{e}_{{\rm{s}}}^{{{\rm{H}}}^{\ast }}+{t}_{{\rm{s}}}^{\ast }\,{e}_{{\rm{s}}}^{{{\rm{V}}}^{\ast }})({r}_{{\rm{i}}}\,{e}_{{\rm{i}}}^{{{\rm{H}}}^{\ast }}+{t}_{{\rm{i}}}^{\ast }\,{e}_{{\rm{i}}}^{{{\rm{V}}}^{\ast }}){P}_{1}\\ \,\,+\,({t}_{{\rm{s}}}\,{e}_{{\rm{s}}}^{{{\rm{H}}}^{\ast }}-{r}_{{\rm{s}}}^{\ast }\,{e}_{{\rm{s}}}^{{{\rm{V}}}^{\ast }})({t}_{{\rm{i}}}\,{e}_{{\rm{i}}}^{{{\rm{H}}}^{\ast }}-{r}_{{\rm{i}}}^{\ast }\,{e}_{{\rm{i}}}^{{{\rm{V}}}^{\ast }}){P}_{2}\\ \,\,+\,({t}_{{\rm{s}}}\,{e}_{{\rm{s}}}^{{{\rm{H}}}^{\ast }}-{r}_{{\rm{s}}}^{\ast }\,{e}_{{\rm{s}}}^{{{\rm{V}}}^{\ast }})({r}_{{\rm{i}}}\,{e}_{{\rm{i}}}^{{{\rm{H}}}^{\ast }}+{t}_{{\rm{i}}}^{\ast }\,{e}_{{\rm{i}}}^{{{\rm{V}}}^{\ast }}){P}_{3}\\ \,\,+\,({r}_{{\rm{s}}}\,{e}_{{\rm{s}}}^{{{\rm{H}}}^{\ast }}+{t}_{{\rm{s}}}^{\ast }\,{e}_{{\rm{s}}}^{{{\rm{V}}}^{\ast }})({t}_{{\rm{i}}}\,{e}_{{\rm{i}}}^{{{\rm{H}}}^{\ast }}-{r}_{{\rm{i}}}^{\ast }\,{e}_{{\rm{i}}}^{{{\rm{V}}}^{\ast }}){P}_{3}]{{\rm{e}}}^{{\rm{i}}{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}L}{{\rm{e}}}^{{\rm{i}}[{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}-({\mathop{k}\limits^{ \sim }}_{{\rm{s}}}+{\mathop{k}\limits^{ \sim }}_{{\rm{i}}})]z},\end{array}$$

    (12)

    where further notation shortening was introduced via

    $$\begin{array}{c}{P}_{1}={d}_{22}({t}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{V}}}-{r}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{H}}})+{d}_{32}({t}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{H}}}+{r}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{V}}}),\\ {P}_{2}={d}_{23}({t}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{V}}}-{r}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{H}}})+{d}_{33}({t}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{H}}}+{r}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{V}}}),\\ {P}_{3}={d}_{24}({t}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{V}}}-{r}_{{\rm{p}}}^{\ast }\,{e}_{{\rm{p}}}^{{\rm{H}}})+{d}_{34}({t}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{H}}}+{r}_{{\rm{p}}}\,{e}_{{\rm{p}}}^{{\rm{V}}}).\end{array}$$

    (13)

    To find the state, we have to substitute the components of the Jones vectors \({{\bf{e}}}_{{\rm{s}},{\rm{i}}}^{{\rm{H}},{\rm{V}}}\) with the corresponding photon creation operators. In this case, transformations (7) and (10) are equivalent to the unitary transformations of a beamsplitter with two input and two output polarization modes. Substituting (12) into (2) and grouping the components with the same pair of the creation operators, we can finally find the two-photon polarization state in the qutrit form (1) with the complex amplitudes

    $$\begin{array}{c}{C}_{1}=\sqrt{2}{\int }_{-L}^{0}{\rm{d}}z[{r}_{{\rm{s}}}{r}_{{\rm{i}}}{P}_{1}+{t}_{{\rm{s}}}{t}_{{\rm{i}}}{P}_{2}+({t}_{{\rm{s}}}{r}_{{\rm{i}}}+{r}_{{\rm{s}}}{t}_{{\rm{i}}}){P}_{3}]{{\rm{e}}}^{{\rm{i}}[{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}-({\mathop{k}\limits^{ \sim }}_{{\rm{s}}}+{\mathop{k}\limits^{ \sim }}_{{\rm{i}}})]z},\\ {C}_{2}={\int }_{-L}^{0}{\rm{d}}z[({r}_{{\rm{s}}}{t}_{{\rm{i}}}^{\ast }+{t}_{{\rm{s}}}^{\ast }{r}_{{\rm{i}}}){P}_{1}-({t}_{{\rm{s}}}{r}_{{\rm{i}}}^{\ast }+{r}_{{\rm{s}}}^{\ast }{t}_{{\rm{i}}}){P}_{2}+({t}_{{\rm{s}}}{t}_{{\rm{i}}}^{\ast }-{r}_{{\rm{s}}}{r}_{{\rm{i}}}^{\ast }+{t}_{{\rm{s}}}^{\ast }{t}_{{\rm{i}}}-{r}_{{\rm{s}}}^{\ast }{r}_{{\rm{i}}}){P}_{3}]{{\rm{e}}}^{{\rm{i}}[{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}-({\mathop{k}\limits^{ \sim }}_{{\rm{s}}}+{\mathop{k}\limits^{ \sim }}_{{\rm{i}}})]z},\\ {C}_{3}=\sqrt{2}{\int }_{-L}^{0}{\rm{d}}z[{t}_{{\rm{s}}}^{\ast }{t}_{{\rm{i}}}^{\ast }{P}_{1}+{r}_{{\rm{s}}}^{\ast }{r}_{{\rm{i}}}^{\ast }{P}_{2}-({t}_{{\rm{s}}}^{\ast }{r}_{{\rm{i}}}^{\ast }+{r}_{{\rm{s}}}^{\ast }{t}_{{\rm{i}}}^{\ast }){P}_{3}]{{\rm{e}}}^{{\rm{i}}[{\mathop{k}\limits^{ \sim }}_{{\rm{p}}}-({\mathop{k}\limits^{ \sim }}_{{\rm{s}}}+{\mathop{k}\limits^{ \sim }}_{{\rm{i}}})]z}.\end{array}$$

    (14)

    The polarization state vector has to be further normalized with the norm \(\sqrt{| {C}_{1}{| }^{2}+| {C}_{2}{| }^{2}+| {C}_{3}{| }^{2}}\). Although we use the normalized values of the complex amplitudes for the analysis of the two-photon polarization state (Extended Data Fig. 9), the norm itself shows the relative generation efficiency for different parameters of the LC, such as length and twist (Fig. 4c,d).

    Further development of the model involves more strict quantum-optical calculations, with the real angular and spectral distributions of the generated photons, as well as the spatial properties of the pump beam, internal reflections of both the pump and the generated photons, and so on. Furthermore, the approximation of a non-depleted pump is valid only in the low-gain regime of SPDC, while such a source is incredibly promising for generating squeezed vacuum and twin beams. Finally, we assume a perfect uniform twist of the molecules, which is hard to achieve experimentally, especially for twists not multiple to π. Although this model is significantly simplified, it proved to be reliable and provides a great insight into the physics of this type of material.

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  • Optical clocks at sea | Nature

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    Atomic timekeeping plays an essential role in modern infrastructure, from transportation to telecommunications to cloud computing. Billions of devices rely on the Global Navigation Satellite System for accurate positioning and synchronization11. The Global Navigation Satellite System is a network of distributed, high-performance microwave-based atomic clocks that provide nanosecond-level synchronization globally. The emergence of fieldable optical timekeeping, which offers femtosecond timing jitter at short timescales and multiday, subnanosecond holdover, along with long-distance femtosecond-level optical time transfer12, paves the way for global synchronization at picosecond levels.

    Molecular iodine (I2) has a legacy as an optical frequency standard13,14,15,16,17. Several iodine transitions are officially recognized as length standards18, and the species underpinned one of the first demonstrations of optical clocks19,20. More recently, iodine frequency standards have been investigated for space missions21,22,23,24. Here we report the deployment of several high-performance, fully integrated iodine optical clocks and highlight their ability to maintain nanosecond (ns)-level timing for several days while continuously operating at sea.

    These clocks use a robust vapour cell architecture that uses no consumables, does not require laser cooling or a prestabilization cavity and is first-order insensitive to platform motion. Similar approaches with rubidium vapour cells are under development25,26,27. Importantly, iodine clocks use mature laser components at 1,064 nm and 1,550 nm. The focus on a robust laser system rather than a high-performance atomic species resolves system-level issues with dynamics, lifetime, autonomy and cost. Although not as accurate as laboratory optical clocks using trapped atoms or ions, iodine clocks can provide maser-level performance in a compact, robust and mobile package.

    Initial clock prototypes were integrated into 35 l, 3 U 19-inch rackmount chassis, shown in Fig. 1a. Clock outputs are at 100 MHz, 10 MHz and 1 pulse per second. Auxiliary optical outputs are provided for the frequency comb and clock laser (1,550 nm and 1,064 nm, respectively). The physics packages, which include the spectrometer, laser system and frequency comb, were designed and built in-house to reduce system-level size, weight and power (SWaP). Field-programmable gate array-based controllers perform digital locks for the laser and frequency comb, servo residual amplitude modulation (RAM) and stabilize the pump and probe powers. The clock operates using a commercial 1 U rackmount power supply and control laptop. Each system consumes about 85 W (excluding the external power supply) and weighs 26 kg.

    Fig. 1: Single-clock performance at NIST and at sea.
    figure 1

    a, The 3 U, 19-inch rackmount iodine optical clock occupies a volume of 35 l and consumes less than 100 W. b, Measured phase noise for the iodine clock at 10 MHz, 100 MHz and 1,064 nm. c, Overlapping Allan deviation for the iodine clock operating at NIST and at sea. At short timescales, the instability in a dynamic environment is identical to the laboratory. The iodine clock can maintain less than 10−14 frequency instability for several days despite several-degree temperature swings, significant changes in relative humidity and changing magnetic fields. d, The clocks can maintain holdovers of 10 ps for several hours and 1 ns for several days, showing their potential as the basis for a picosecond-level timing network.

    Two clocks with identical hardware (PICKLES and EPIC) were developed with physics packages targeting short-term instability below 10−13/√τ, comparable to commercial masers. A third clock (VIPER) with a relaxed performance goal of less than 5 × 10−13/√τ was built using a smaller iodine spectrometer and simplified laser system to reduce the physics package volume by 50% and power consumption by 5 W; the chassis volume was unchanged. The frequency comb design and control electronics for PICKLES, EPIC and VIPER are largely identical.

    In April 2022, PICKLES and EPIC were shipped to the National Institute of Standards and Technology (NIST) in Boulder, Colorado for assessment against the Coordinated Universal Timescale maintained at NIST, that is, UTC(NIST)28. The clocks operated on an optical table without any further measures to insulate them from the NIST laboratory environment, which is temperature stabilized. The laboratory was also in active use throughout the measurement campaign. The 10 MHz tone from each clock was compared against a 5 MHz maser signal with a Microchip 53100A phase noise analyser in a three-cornered hat (TCH) configuration. NIST maser ST05 (Symmetricom MHM-2010) was selected as the lowest drift maser in the ensemble (3 × 10−17 per day). The measurement scheme allows for decorrelating the three clocks at short timescales and measuring against the NIST composite timescale AT1, derived from the maser ensemble, at longer timescales. Importantly, ST05 was operated in an environmental chamber in a separate laboratory, providing an environmentally uncorrelated reference. The 1,064 nm optical beatnote between PICKLES and EPIC was simultaneously monitored for cross-validation. After installation, the clocks were left to operate autonomously. The measurement setup was remotely monitored without intervention from our California headquarters, and the comparison was intentionally terminated after 34 days on return to NIST.

    The overlapping Allan deviation for the entire 34-day dataset without any windowing, dedrifting or filtering is shown in Fig. 2. To present the individual clock performance, the Allan deviation plot uses the 1–1,000 s instability extracted from TCH analysis and the direct instability against ST05 for time periods longer than 1,000 s (Extended Data Fig. 3). The PICKLES and EPIC short-term instabilities of 5 × 10−14/\(\sqrt{\tau }\) and 6 × 10−14/\(\sqrt{\tau }\), respectively, outperform the short-term performance of the ST05 maser. Both iodine clocks exhibit fractional frequency instabilities less than 5 × 10−15 after 100,000 s of averaging, equivalent to a temporal holdover below 300 ps after 1 day.

    Fig. 2: Long-term clock performance.
    figure 2

    Overlapping Allan deviation for the 10 MHz outputs of the two iodine clocks measured against the UTC(NIST) timebase for 34 days (blue and orange traces). The clocks exhibit a raw frequency instability of 4 × 10−15 (PICKLES) and 6 × 10−15 (EPIC) after 105 s of averaging and maintain instability less than 10−14 for nearly 6 days (PICKLES). With linear drift removal, the frequency instability improves to less than 2 × 10−15 (PICKLES) and less than 3 × 10−15 (EPIC) for 106 s (open circles). The performance of a variety of NIST masers against the composite AT1 timescale is shown for comparison (grey traces) as well as a commercial caesium clock (green trace). The long-term frequency record for the two iodine clocks against ST05 is shown as an inset. Each trace is shown as a 1,000 s moving average. The linear drift for each clock is observed to be several 10−15 per day. MJD is the modified Julian day.

    The data also provided an initial measure of the long-term stability of the iodine clocks (Fig. 2, inset). Measured against UTC(NIST), the drift rates for PICKLES and EPIC are 2 × 10−15 and 4 × 10−15 per day, respectively, consistent with the long-term accuracy of an iodine vapour cell measured over the course of a year19. This drift rate is about ten times lower than a typical space-qualified rubidium atomic frequency standard after more than a year of continuous operation29,30. Moreover, the iodine-stabilized laser provides a drift rate roughly 10,000–100,000× lower as compared to typical ultralow expansion (ULE) optical cavities31,32. This drift rate has been consistent for multiple measurement campaigns over several months (Extended Data Fig. 5). Removal of linear drift from the frequency data indicates that the two clocks continue to hold less than 3 × 10−15 instability after more than 106 s (approximately 12 days) of averaging, equivalent to 1 ns timing error over this period. Without drift removal, the long-term clock performance is competitive with the NIST active hydrogen masers; drift removal puts the clock instability on par with the highest-performing masers in the NIST bank. Notably, to achieve the drift rates observed in Fig. 2, the NIST masers are operated continuously for years and housed in environmental chambers with a volume of nearly 1,000 l to stabilize temperature and humidity to better than 100 mK and 1%, respectively (ref. 33 and J. Sherman, private communication). The laboratory housing PICKLES and EPIC was stable to hundreds of millikelvins throughout the measurement campaign, which started a few days after a cross-country shipment. Finally, the raw iodine clock performance is below NIST’s commercial caesium beam clock (Microchip 5071A) for 5.5 days; the dedrifted iodine performance is below caesium for all observed timescales.

    A broad feature with a peak deviation of 4 × 10−15 is evident in the PICKLES Allan deviation at roughly 20,000 s (about 7 h) timescales. The equivalent optical frequency deviation of 2 Hz corresponds to a shift of about 2 ppm of the hyperfine transition line centre. We suspect that the origin of this plateau in PICKLES is RAM coupling through a spurious etalon in the spectrometer. By modifying the build procedure, this etalon was mitigated during the build of the EPIC spectrometer.

    The iodine clock exhibits excellent phase noise for the 10 and 100 MHz tones derived by optical frequency division as well as the 1,064 nm optical output (Fig. 1b). The phase noise at microwave frequencies is lower than commercial atomic-disciplined oscillators, highlighting the benefits of optical frequency division where the fractional noise of the iodine-stabilized laser is transferred to the frequency comb repetition rate.

    Following the measurement against an absolute reference at NIST-Boulder, three optical clocks were brought to Pearl Harbor, HI in July 2022 to participate in the Alternative Position, Navigation and Time (A-PNT) Challenge at Rim of the Pacific (RIMPAC) 2022, the world’s largest international maritime exercise. A-PNT was an international demonstration of quantum technologies with academic, government and industry participants. Several prototype quantum technologies including optical clocks34,35 and atomic inertial sensors were fielded36. The iodine clocks were installed in an open server rack along with a commercial 1 U power supply for each clock, three control laptops and an uninterruptable power supply backup for the system (Fig. 3a). The rack also contained three frequency counters to collect the three pairwise beatnotes and a 53100A phase noise analyser to compare the 100 MHz tone derived from each clock’s frequency comb against the other two in a TCH configuration. The total stackup, including three independent clocks, power supplies, computer controls and metrology systems, occupied a rack height of 23 U. The server rack was hard-mounted to the floor of a Conex cargo container, which was craned onto the deck of the New Zealand naval ship HMNZS Aotearoa (Fig. 3b), where it remained during the three weeks the vessel was at sea. Once the ship left port, the three clocks operated without user intervention for the duration of the exercise, apart from one restart of VIPER due to a software fault in the external power supply.

    Fig. 3: At-sea demonstration of optical clocks.
    figure 3

    a, Clock stackup for RIMPAC 2022. The server rack contained three independent optical clocks, a 1 U power supply and control laptop for each clock, an uninterruptable power supply and the measurement system in a total rack volume of 23 U. b, The cargo container housing the clocks was craned onto the deck of the HMNZS Aotearoa, where it remained for the three-week naval exercise. c, A GPS track of the Aotearoa’s voyage around the Hawaiian Islands. The ship started and ended its voyage at Pearl Harbor, O’ahu. d, Overlapping Allan deviation during the underway. For time periods less than 100 s, individual clock contributions are extracted with a TCH analysis; directly measured pairwise instabilities are shown for periods longer than 100 s. The EPIC–PICKLES pair maintains a fractional frequency instability of 8 × 10−15 after 105 s of averaging, corresponding to a temporal holdover of 400 ps. e, PSD for the PICKLES–EPIC frequency fluctuations at NIST and at sea with the recorded ship pitch and heave (rotation and acceleration on the other ship axes showed similar behaviour). The PICKLES–VIPER PSD (not shown) showed a similar immunity to the ship motion. Photograph of the ship by T. Bacon, DVIDS.

    The operating environment during the ship’s underway differed significantly from NIST, but the clocks still operated continuously with high performance (Fig. 1c,d). Although the Conex was air-conditioned, the internal environment underwent swings of roughly 2–3 °C peak-to-peak temperature and 4%–5% relative humidity over a day–night cycle. The clock rack was located directly in front of the air conditioning unit, which cycled on and off throughout the day. The clocks also operated continuously through ship motion. The rotational dynamics of the ship included a peak pitch of ±1.5° at a rate of ±1.2° s−1 and a peak roll of ±6° at a rate of ±3° s−1. Similarly, the maximum surge, sway and heave accelerations were ±0.4, ±1.5 and ±1.2 m s2, respectively. A vertical root mean square vibration of 0.03 m s2 (integrated from 1 to 100 Hz) was also experienced. Operation in dynamic environments highlights the robust, high-bandwidth clock readout (greater than 10 kHz control bandwidth) enabled by a vapour cell.

    The vessel travelled in all four cardinal directions during the exercise, illustrated by the GPS-tracked trajectory in Fig. 3c. The National Oceanic and Atmospheric Administration geomagnetic model for Earth’s magnetic field at this latitude and longitude shows that the projection of the Earth’s field on the clocks varied by ±270 mG throughout the underway (https://www.ngdc.noaa.gov/geomag/geomag.shtml).

    The overlapping Allan deviations measured during the voyage are shown in Fig. 3d. For time periods less than 100 s, the individual clock contributions are extracted with a TCH analysis. Directly measured pairwise instabilities are shown for longer time periods. There was no degradation in the clock signal-to-noise ratio (SNR) despite ship vibration and motion; the short-term performance for the three clocks was identical to that observed at NIST for up to 1,000 s (Fig. 1c,d). All three clocks showed immunity to dominant ship motion in the band at about 0.1 Hz (Fig. 3e). A medium timescale instability was driven by the day–night temperature swing in the Conex. Nonetheless, the PICKLES–EPIC clock pair maintains 8 × 10−15 combined instability at 100,000 s without drift correction, equivalent to temporal holdover of roughly 400 ps over 24 h. The PICKLES–EPIC data exhibit a temperature-driven instability in the 103–105 s range due to insufficient air conditioner capacity during the day. This plateau at 104 s originates from EPIC on the basis of environmental chamber testing following RIMPAC, but its performance is still within two times that seen at NIST. Finally, the drift rate for PICKLES–EPIC over this period was similar to that observed at NIST (Extended Data Fig. 5). This long-term performance illustrates the robustness of iodine-based timekeeping as the clocks experienced diurnal temperature swings of several degrees, platform motion arising from ship dynamics and constant movement through Earth’s magnetic field.

    VIPER exhibits a short-term instability of 1.3 × 10−13/\(\sqrt{\tau }\) as well as a more prominent diurnal temperature instability that peaks at 4 × 10−14 near 40,000 s (corresponding to roughly 1 day periodic instability). The VIPER physics package is an earlier design with relaxed performance goals that results in a larger temperature coefficient than the other two clocks. Nonetheless, this system can average over the diurnal temperature fluctuation and maintain an instability of 2.5 × 10−14 after 1 day of averaging. VIPER showed a drift rate similar to PICKLES and EPIC during the underway. Importantly, the VIPER physics package does not include magnetic shields yet still provides excellent frequency stability despite motion through Earth’s magnetic field.

    Summary data for PICKLES, the highest-performing clock at NIST and at sea, are shown in Fig. 1c,d. Single-clock performance at sea comprises the decorrelated instability for τ less than 200 s (Fig. 3d: blue trace) and the PICKLES–EPIC data for longer periods (Fig. 3d: black trace). The PICKLES–EPIC data are normalized by 1/\(\surd 2\) as an upper bound for PICKLES, assuming equal contributions. Notably, the performance of PICKLES is largely unchanged at sea.

    All three clocks were colocated for the at-sea testing; therefore, there is potential for correlated environmental sensitivities due to ship dynamics, motion in Earth’s magnetic field and temperature and humidity variations inside the Conex. Standard reference clocks (such as a caesium beam clock or GPS-disciplined rubidium) were not available for comparison. However, simultaneous evaluation of three clocks raises the level of common mode rejection required to mask fluctuations common to the three systems, particularly given VIPER’s differing spectrometer and laser system designs. Pairing the at-sea test data of three clocks with environmental testing on land provides confidence that potential correlations are below the measured instability (Supplementary Information).

    Iodine has proven to be a capable platform for the development of practical optical timekeeping systems. The unique combination of SWaP, phase noise, frequency instability, low environmental sensitivity and operability on moving platforms distinguishes the approach from both commercial microwave clocks and higher-performing laboratory optical clocks. It compares favourably to active hydrogen masers in terms of long-term holdover while outperforming maser phase noise and instability at short timescales. To deliver peak performance, masers typically operate in large (approximately 1,000 l) environmental chambers that carefully regulate the temperature and humidity, limiting their use to the laboratory. Conversely, no special measures were taken to control the operating environment of the iodine clock at both NIST and throughout the RIMPAC underway. Similar to caesium beam clocks, the 3 U rackmount form factor lends itself to use outside the laboratory.

    To our knowledge, these clocks are the highest-performing sea-based clocks until now. The integration, packaging and environmental robustness required to achieve such operation is a significant technological step towards widespread adoption of optical timekeeping. Since these field demonstrations, further advancement in the performance and SWaP of the rackmount clocks has been accomplished in our next-generation system, including decreasing short-term instability to 2 × 10−14/√τ, lowering the overall system SWaP to 30 l, 20 kg and 70 W and eliminating the external power supply.

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  • Light-wave-controlled Haldane model in monolayer hexagonal boron nitride

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    Theoretical model and simulations

    The model was described in detail in ref. 5. Here we provide further details of its derivation and application to our case. Atomic units are used unless otherwise stated.

    Definition of the lattice

    Hexagonal boron nitride is formed from two triangular sublattices A and B, which host boron and nitrogen atoms, respectively. Extended Data Fig. 1a shows the lattice up to next-nearest neighbour atoms. The two lattice vectors can be defined as

    $$\begin{array}{cc} & {{\bf{a}}}_{1}=\frac{{r}_{0}}{2}\left(3,\sqrt{3}\right)\\ {\rm{and}} & {{\bf{a}}}_{2}=\frac{{r}_{0}}{2}\left(3,-\sqrt{3}\right),\end{array}$$

    (1)

    where \({r}_{0}\) is the distance between nearest neighbours. The distance from atom \(j\) to atom \(i\) can be written in terms of \({r}_{0}\) and the angle \(\alpha \) between those two atoms (Extended Data Fig. 1a):

    $$\left[{r}_{{ij},x},{r}_{{ij},y}\right]={\left(\sqrt{3}\right)}^{m}{r}_{0}\left[\sin {\alpha }_{{ij}},\cos {\alpha }_{{ij}},\right],$$

    (2)

    where \(m=0,1\) for nearest neighbours and next-nearest neighbours, respectively. The Brillouin zone of hBN is shown in Extended Data Fig. 1b, along with its high-symmetry points.

    Definition of the field

    We start with a bicircular field vector, which results from the combination of two counter-rotating circular fields of frequencies \(\omega \) and \(2\omega \). We define it as

    $$\begin{array}{c}{{\bf{F}}}_{\circlearrowright }(t)=[{F}_{x}(t),{F}_{y}(t)]=[{F}_{\omega }\sin (\omega t)-{F}_{2\omega }\sin (2\omega t+\varphi ),\\ {F}_{\omega }\cos (\omega t)+{F}_{2\omega }\cos (2\omega t+\varphi )].\end{array}$$

    (3)

    The field strengths of the fundamental and second-harmonic fields are \({F}_{\omega }\) and \({F}_{2\omega }\), respectively, and \(\varphi \) is the phase delay between the two fields. From the electric field, we define the vector potential \({\bf{A}}\left(t\right)=-\int \,{\rm{d}}t\,{\bf{F}}\left(t\right)\), so that

    $$\begin{array}{c}{{\bf{A}}}_{\circlearrowright }(t)=[{A}_{x}(t),{A}_{y}(t)]=\left[\frac{{F}_{\omega }}{\omega }\cos (\omega t)-\frac{{F}_{2\omega }}{2\omega }\cos (2\omega t+\varphi ),\right.\\ \left.-\frac{{F}_{\omega }}{\omega }\sin (\omega t)-\frac{{F}_{2\omega }}{2\omega }\sin (2\omega t+\varphi )\right].\end{array}$$

    (4)

    With this definition, both the electric field and the vector potential rotate clockwise. When we switch the helicities of the two circular fields such that \(\left[{F}_{x}\left(t\right),{F}_{y}\left(t\right)\right]\to \left[-{F}_{x}\left(t\right),{F}_{y}\left(t\right)\right]\), we obtain

    $$\begin{array}{l}{{\bf{F}}}_{\circlearrowleft }(t)=[-{F}_{\omega }\sin (\omega t)+{F}_{2\omega }\sin (2\omega t+\varphi ),\\ \,\,{F}_{\omega }\cos (\omega t)+{F}_{2\omega }\cos (2\omega t+\varphi )]\end{array}$$

    (5)

    and

    $$\begin{array}{l}{{\bf{A}}}_{\circlearrowleft }(t)=\left[-\frac{{F}_{\omega }}{\omega }\cos (\omega t)+\frac{{F}_{2\omega }}{2\omega }\cos (2\omega t+\varphi ),\right.\\ \,\,\left.-\frac{{F}_{1}}{\omega }\sin (\omega t)-\frac{{F}_{2}}{2\omega }\sin (2\omega t+\varphi )\right].\end{array}$$

    (6)

    In this case, both the electric field and vector potential rotate anticlockwise. Between \({{\bf{F}}}_{\circlearrowright }\) and \({{\bf{F}}}_{\circlearrowleft }\), the field has rotated in space by 180° (compare the green curves in Extended Data Fig. 2a,d). However, the orientation of the vector potential is the same for \({{\bf{A}}}_{\circlearrowright }\) and \({{\bf{A}}}_{\circlearrowleft }\) (compare the purple curves in Extended Data Fig. 2b,e).

    For generality, let us also consider the bicircular field defined as

    $$\begin{array}{c}{\mathop{{\bf{F}}}\limits^{ \sim }}_{\circlearrowright }(t)=[{\mathop{F}\limits^{ \sim }}_{x}(t),{\mathop{F}\limits^{ \sim }}_{y}(t)]=[{F}_{\omega }\cos (\omega t)+{F}_{2\omega }\cos (2\omega t+\varphi ),\\ \,\,\,\,-{F}_{\omega }\sin (\omega t)+{F}_{2\omega }\sin (2\omega t+\varphi )]\end{array}$$

    (7)

    and, consequently,

    $$\begin{array}{l}{\mathop{{\bf{A}}}\limits^{ \sim }}_{\circlearrowright }(t)=[{\mathop{A}\limits^{ \sim }}_{x}(t),{\mathop{A}\limits^{ \sim }}_{y}(t)]=\left[-\frac{{F}_{\omega }}{\omega }\sin (\omega t)-\frac{{F}_{2\omega }}{2\omega }\sin (2\omega t+\varphi ),\right.\\ \,\,\,\,\,\,\left.-\frac{{F}_{\omega }}{\omega }\cos (\omega t)+\frac{{F}_{2\omega }}{2\omega }\cos (2\omega t+\varphi )\right].\end{array}$$

    (8)

    When we perform the following switch of the circular field helicities \(\left[{\mathop{F}\limits^{ \sim }}_{x}\left(t\right),{\mathop{F}\limits^{ \sim }}_{y}\left(t\right)\right]\to \left[{\mathop{F}\limits^{ \sim }}_{x}\left(t\right),-{\mathop{F}\limits^{ \sim }}_{y}\left(t\right)\right]\),

    $$\begin{array}{l}{\mathop{{\bf{F}}}\limits^{ \sim }}_{\circlearrowleft }(t)=[{F}_{\omega }\cos (\omega t)+{F}_{2\omega }\cos (2\omega t+\varphi ),\\ \,\,{F}_{\omega }\sin (\omega t)-{F}_{2\omega }\sin (2\omega t+\varphi )]\end{array}$$

    (9)

    and

    $$\begin{array}{l}{\mathop{{\bf{A}}}\limits^{ \sim }}_{\circlearrowleft }(t)=\left[-\frac{{F}_{\omega }}{\omega }\sin (\omega t)-\frac{{F}_{2\omega }}{2\omega }\sin (2\omega t+\varphi ),\right.\\ \,\,\left.\frac{{F}_{\omega }}{\omega }\cos (\omega t)-\frac{{F}_{2\omega }}{2\omega }\cos (2\omega t+\varphi )\right].\end{array}$$

    (10)

    In this case, \({\mathop{{\bf{F}}}\limits^{ \sim }}_{\circlearrowright }\) and \({\mathop{{\bf{F}}}\limits^{ \sim }}_{\circlearrowleft }\) maintain the same spatial orientation, but the spatial orientation of the vector potential \({\mathop{{\bf{A}}}\limits^{ \sim }}_{\circlearrowright }\) is rotated by 180° with respect to that of \({\mathop{{\bf{A}}}\limits^{ \sim }}_{\circlearrowleft }\).

    Regardless of the definition of the bicircular field that we use, it is the orientation of the vector potential relative to the crystal lattice (or Brillouin zone) that determines the band structure modification.

    Laser-induced CNNN hopping

    To understand the physical mechanism governing the band modification and the consequent valley polarization, we will use a two-orbital tight-binding model of gapped graphene, which captures the essential physics of the problem. The gapped-graphene lattice is the same as that of hBN, with one orbital per site. Those in sublattice A have on-site energy \({E}_{{\rm{A}}}\) whereas those in sublattice B have on-site energy \({E}_{{\rm{B}}}\). We will assume that, in the field-free state, next-nearest neighbour hoppings \({\gamma }^{({\rm{NNN}})}\) are negligible. However, upon interaction with the bicircular field, \({\gamma }^{({\rm{NNN}})}\) can be induced through virtual nearest neighbour hoppings \({\gamma }^{({\rm{NN}})}\). We will calculate this correction to lowest order in the field–matter interaction. To do so, note that a laser field modifies the nearest neighbour hopping between an orbital in sublattice A and an orbital in sublattice B according to the Peierls substitution,

    $${\gamma }_{{\rm{AB}}}^{\left({\rm{NN}}\right)}\left(t\right)={\gamma }_{1}{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}\left(t\right)},$$

    (11)

    where \({\gamma }_{1}\) is the field-free nearest neighbour hopping, \({{\bf{r}}}_{{\rm{AB}}}\) is the distance from the site in sublattice B to the site in sublattice A and \({\bf{A}}\left(t\right)\) is the vector potential of the field. The laser-induced hopping term can be separated into one cycle-averaged term and one term that contains the dynamical corrections to this cycle average:

    $${\gamma }_{{\rm{AB}}}^{\left({\rm{NN}}\right)}\left(t\right)={\gamma }_{1}\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}\left(t\right)}\rangle +{V}_{{\rm{AB}}}\left(t\right),$$

    (12)

    where \(\langle \;\rangle \) means cycle-averaged. Therefore, we have

    $${V}_{{\rm{AB}}}\left(t\right)={\gamma }_{1}{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}\left(t\right)}-{\gamma }_{1}\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}\left(t\right)}\rangle .$$

    (13)

    This perturbation can lead to transitions between next-nearest neighbours (\({\rm{A}}\leftarrow {{\rm{A}}}^{{\prime} }\)) of the same sublattice through virtual nearest neighbours. To lowest order, the transition amplitude for such a second-order process reads (atomic units are used throughout)

    $${{\mathcal{A}}}_{{\rm{A}}\leftarrow {A}^{{\prime} }}^{(2)}(t)=-\sum _{{\rm{B}}}{\int }_{{t}_{0}}^{t}{\rm{d}}{t}^{{\prime} }{\int }_{{t}_{0}}^{{t}^{{\prime} }}{\rm{d}}{t}^{{\prime\prime} }{e}^{{\rm{i}}({E}_{{\rm{AB}}}{t}^{{\prime} }+{E}_{{{\rm{BA}}}^{{\prime} }}{t}^{{\prime\prime} })}{V}_{{\rm{AB}}}({t}^{{\prime} }){V}_{{{\rm{BA}}}^{{\prime} }}({t}^{{\prime\prime} }),$$

    (14)

    where the energy difference \({E}_{{\rm{AB}}}={E}_{{\rm{A}}}-{E}_{{\rm{B}}}=\varDelta \), where \(\varDelta \) is the minimum bandgap energy (we take \({E}_{{\rm{A}}} > {E}_{{\rm{B}}}\)). The summation in principle runs along all possible intermediate states in sublattice B. However, note that only one nearest neighbour site can participate. For example, looking at Extended Data Fig. 1, we see that the transition from site A-11 to site A00 can happen only to first order through B01. Therefore, we can drop the summation. Using equation (13):

    $$\begin{array}{l}{{\mathcal{A}}}_{{\rm{A}}\leftarrow {A}^{{\prime} }}^{(2)}(t)=-{\gamma }_{1}^{2}{\int }_{{t}_{0}}^{t}{\rm{d}}{t}^{{\prime} }{{\rm{e}}}^{i\varDelta {t}^{{\prime} }}\left[{{\rm{e}}}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {{\rm{e}}}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}(t)}\rangle \right]\\ \,\,\,\,\,{\int }_{{t}_{0}}^{{t}^{{\prime} }}{\rm{d}}{t}^{{\prime\prime} }{{\rm{e}}}^{-{\rm{i}}\varDelta {t}^{{\prime\prime} }}\left[{{\rm{e}}}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{BA}}}^{{\prime} }}\cdot {\bf{A}}({t}^{{\prime\prime} })}-\langle {{\rm{e}}}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{BA}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle \right].\end{array}$$

    (15)

    We perform a change of variables in the second integral, \(u=-{\rm{i}}\left[\varDelta {t}^{{\prime\prime} }+{{\bf{r}}}_{{{\rm{BA}}}^{{\prime} }}\cdot {\bf{A}}\left({t}^{{\prime\prime} }\right)\right]\), so that \({\rm{d}}u=-{\rm{i}}\left[\varDelta -{{\bf{r}}}_{{{\rm{BA}}}^{{\prime} }}\cdot {\bf{F}}\left({t}^{{\prime\prime} }\right)\right]\,{\rm{d}}{t}^{{\prime\prime} }\). For moderately strong fields and large gap materials, as in this case, we have that \(|{\bf{F}}\cdot {{\bf{r}}}_{{\rm{B}}{\rm{A}}}|\ll |\varDelta |\), so that we can neglect the second term in \({\rm{d}}u\) and write \({\rm{d}}u=-{\rm{i}}\varDelta \,{\rm{d}}{t}^{{\prime\prime} }\). In this way, the second integral is easily computed as

    $$\begin{array}{c}{\int }_{u({t}_{0})}^{{u(t}^{{\prime} })}{\rm{d}}u\frac{{e}^{u}}{-{\rm{i}}\varDelta }-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle {\int }_{{t}_{0}}^{{t}^{{\prime} }}{\rm{d}}{t}^{{\prime\prime} }{e}^{-{\rm{i}}\varDelta {t}^{{\prime\prime} }}\,=\,{\rm{i}}\frac{{e}^{-{\rm{i}}[\varDelta {t}^{{\prime} }+{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}({t}^{{\prime} })]}}{\varDelta }\\ -{\rm{i}}\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle \frac{{e}^{-{\rm{i}}\varDelta {t}^{{\prime} }}}{\varDelta }-{\rm{i}}\frac{{e}^{-{\rm{i}}\varDelta {t}_{0}}}{\varDelta }+{\rm{i}}\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle \frac{{e}^{-{\rm{i}}\varDelta {t}_{0}}}{\varDelta }\\ \,=\,\frac{{\rm{i}}}{\varDelta }{e}^{-{\rm{i}}\varDelta {t}^{{\prime} }}[{e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ]-\frac{{\rm{i}}}{\varDelta }{e}^{-{\rm{i}}\varDelta {t}_{0}}[1-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ].\end{array}$$

    (16)

    Substituting equation (16) into equation (15):

    $$\begin{array}{l}{{\mathcal{A}}}_{{\rm{A}}\leftarrow {A}^{{\prime} }}^{(2)}(t)=-\frac{{\rm{i}}{\gamma }_{1}^{2}}{\varDelta }{\int }_{{t}_{0}}^{t}{\rm{d}}{t}^{{\prime} }\{[{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle ]\\ \,\,\times \,[{e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ]-{e}^{-{\rm{i}}\varDelta ({t}_{0}-{t}^{{\prime} })}\\ \,\,\times \,[1-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ][{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle ]\}.\end{array}$$

    (17)

    The above expression is for the lowest-order transition amplitude between two sites in sublattice A. From it, we can identify the transition matrix element between the next-nearest neighbour sites A′ and A (\({\gamma }_{{{\rm{AA}}}^{{\prime} }}^{\left({\rm{NNN}}\right)}\)) by realizing that the transition amplitude is defined as

    $${{\mathcal{A}}}_{i\leftarrow k}\left(t\right)=-{\rm{i}}{\int }_{{t}_{0}}^{t}{\rm{d}}{t}^{{\prime} }{e}^{{\rm{i}}\left({E}_{i}-{E}_{k}\right){t}^{{\prime} }}{\gamma }_{ik}\left({t}^{{\prime} }\right).$$

    (18)

    Hence,

    $$\begin{array}{c}{\gamma }_{{{\rm{A}}{\rm{A}}}^{{\prime} }}^{({\rm{N}}{\rm{N}}{\rm{N}})}=\frac{{\gamma }_{1}^{2}}{\varDelta }\{[{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle ][{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{B}}{\rm{A}}}^{{\prime} }\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ]\\ \,\,-{e}^{-i\varDelta ({t}_{0}-{t}^{{\prime} })}[1-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ][{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle ]\}\\ \,\,=\,\frac{{\gamma }_{1}^{2}}{\varDelta }\{{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{A}}}^{{\prime} }\cdot {\bf{A}}({t}^{{\prime} })}-{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{B}}{\rm{A}}}^{{\prime} }\cdot {\bf{A}}(t)}\rangle \\ \,\,-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{B}}{\rm{A}}}^{{\prime} }\cdot {\bf{A}}({t}^{{\prime} })}+\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle \langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle \\ \,\,-{e}^{-{\rm{i}}\varDelta ({t}_{0}-{t}^{{\prime} })}[{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}-\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}(t)}\rangle \\ \,\,-{e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle +\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{A}}{\rm{B}}}\cdot {\bf{A}}({t}^{{\prime} })}\rangle \langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{B}}{\rm{A}}}^{{\prime} }}\cdot {\bf{A}}(t)}\rangle ]\}.\end{array}$$

    (19)

    Averaging now over one cycle,

    $$\langle {\gamma }_{{{\rm{AA}}}^{{\prime} }}^{\left({\rm{NNN}}\right)}\rangle =\frac{{\gamma }_{1}^{2}}{\varDelta }\left\{\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{AA}}}^{{\prime} }}\cdot {\bf{A}}\left(t\right)}\rangle -\langle {e}^{-{\rm{i}}{{\bf{r}}}_{{\rm{AB}}}\cdot {\bf{A}}\left(t\right)}\rangle \langle {e}^{-{\rm{i}}{{\bf{r}}}_{{{\rm{BA}}}^{{\prime} }}\cdot {\bf{A}}\left(t\right)}\rangle \right\}.$$

    (20)

    If the transition is between two next-nearest neighbours of the other sublattice (B), then we need to substitute \(\varDelta \to -\varDelta \), and

    $$\langle {\gamma }_{{{\rm{BB}}}^{{\prime} }}^{\left({\rm{NNN}}\right)}\rangle =-\langle {\gamma }_{{{\rm{AA}}}^{{\prime} }}^{\left({\rm{NNN}}\right)}\rangle .$$

    (21)

    Extended Data Fig. 2 shows some representative examples of \(\langle {\gamma }_{{{\rm{BB}}}^{{\prime} }}^{\left({\rm{NNN}}\right)}\rangle \) and \(\langle {\gamma }_{{{\rm{AA}}}^{{\prime} }}^{\left({\rm{NNN}}\right)}\rangle \) for different vector potentials. Note the following. First, the cycle-averaged, laser-induced, next-nearest neighbour, hoppings are complex whenever the vector potential is not pointing towards the M direction. The imaginary component is a maximum when the vector potential points along K or K′, and it switches sign between these two orientations. Second, the hopping depends only on the orientation of the vector potential and not its sense of rotation (compare Extended Data Figs. 2b and  2d). The band structure is modified by rotating the vector potential, which can be achieved on a subcycle timescale by changing the two-colour phase delay \(\varphi \). Finally, also note that even when the vector potential is pointing towards the point M, the bandgap is reduced relative to the field-free case due to a modification of the hopping. In this case, however, as the next-nearest neighbour hopping is real, the gap is reduced equally in both valleys.

    Numerical calculations

    We performed time-dependent simulations of a tight model of gapped graphene using the code described in ref. 44. The field-free tight-binding parameters are \({r}_{0}=2.73\) a.u., \(\varDelta ={\varDelta }_{{\rm{A}}}-{\varDelta }_{{\rm{B}}}\), where \({\varDelta }_{{\rm{A}}}=5.9/2\) eV and \({\varDelta }_{{\rm{B}}}=-5.9/2\) eV, and \({\gamma }_{1}=0.089\) a.u. The atomic distance and first neighbour hopping are taken to be like those of graphene. Next-nearest neighbour hoppings and higher were neglected. Owing to the uncertainty in the experimental intensity, we simulated several ratios and intensities of the bicircular (trefoil) field. The fields were simulated using a Gaussian envelope with 30 fs of full-width at half-maximum for both fields, which matches the estimated duration of the fields in the experiment. The time-dependent propagation was converged on a Monkhorst–Pack k grid of 300 × 300 points and a time step of 0.1 a.u. The dephasing time was set to 6 fs, but different values did not change our results.

    Extended Data Fig. 2 shows the results for two different helicities of the bicircular field. In this case, the field parameters are \({F}_{\omega }=2{F}_{2\omega }=0.0085\) a.u., which correspond to an intensity in the crystal of \({I}_{\omega }=2.5\) TW cm2 and \({I}_{2\omega }=0.63\) TW cm2. First, note that valley polarization does not change between Extended Data Fig. 2c and Extended Data Fig. 2f, despite having switched the field helicity. Second, the valley polarization switches in Extended Data Fig. 2c and Extended Data Fig. 2f upon a 60° rotation of the bicircular field. Third, there is a not a perfect interchange of the K and K′ valley populations in Extended Data Fig. 2f,i. This is because the fields (or the associated vector potential) that give rise to the populations in Extended Data Fig. 2f,i are not time-reversal partners. However, the fields in Extended Data Fig. 2c and Extended Data Fig. 2i do switch exactly the K and K′ populations, since the fields in this case are time-reversal partners. Yet, it is clear that, for fixed helicity, the orientation of the field relative to the lattice controls the valley polarization, even if the switching is not fully symmetric. This effect signals band modification by the strong bicircular field and allows for subcycle control.

    k-resolved populations

    Extended Data Fig. 3 shows the k-resolved populations after the interaction with the bicircular field for different intensities using a fixed ω to 2ω ratio of 2:1 in intensity. We found similar results for intensity ratios of 1:1, 4:1 and 6:1. The polarized valley always corresponds to that in which the model predicts that the bandgap is reduced. Also, the valley polarization increases as a function of intensity, in accordance with the model prediction that the effective bandgap decreases as the intensity is increased.

    Probing the valley polarization

    To transfer these valley populations into an optical degree of freedom that can be measured in the experiment, we used a linearly polarized probe pulse after the bicircular pulse which, as explained in the main text, allowed us to map them into the helicity of its nonlinear harmonic response (H3 in this case). As in the experiment, we used a probe light field of the same ω frequency as the fundamental field in the bicircular pulse. The field strength of the probe field was \({F}_{\text{probe}}=0.01\) a.u., it was polarized along the Γ–M direction (x direction in the figures) and its duration was 30 fs of full-width at half-maximum. We tested different probe field strengths, but these did not affect our results.

    Extended Data Fig. 4 shows the results of the polarimetry analysis. The two helical components that the two photodiodes measure are defined as

    $$\begin{array}{l}{\widehat{e}}_{{\rm{l}}}\,=\,\frac{1}{\sqrt{2}}({\widehat{e}}_{x}+{\rm{i}}{\widehat{e}}_{y}),\\ {\widehat{e}}_{{\rm{r}}}\,=\,\frac{1}{\sqrt{2}}({\widehat{e}}_{x}-{\rm{i}}{\widehat{e}}_{y}).\end{array}$$

    (22)

    Therefore,

    $$\begin{array}{l}{\widehat{e}}_{{\rm{l}}}\,=\,{\left|\frac{{A}_{x}}{\sqrt{2}}{e}^{{\rm{i}}{\phi }_{x}}+\frac{{A}_{y}}{\sqrt{2}}{e}^{{\rm{i}}({\phi }_{y}+{\rm{\pi }}/2)}\right|}^{2},\\ {\widehat{e}}_{{\rm{r}}}\,=\,{\left|\frac{{A}_{x}}{\sqrt{2}}{e}^{{\rm{i}}{\phi }_{x}}+\frac{{A}_{y}}{\sqrt{2}}{e}^{{\rm{i}}({\phi }_{y}-{\rm{\pi }}/2)}\right|}^{2},\end{array}$$

    (23)

    where Ax and Ay (ϕx and ϕy) are the Fourier amplitudes (phases) of the harmonic of interest of the probe (H3 in this case), along directions x and y, respectively. We can rewrite the above as

    $$\begin{array}{l}{\widehat{e}}_{{\rm{l}}}\,=\,\frac{1}{2}| {A}_{x}| +\frac{1}{2}| {A}_{y}| +| {A}_{x}| | {A}_{y}| \cos ({\phi }_{x}-{\phi }_{y}-{\rm{\pi }}/2),\\ {\widehat{e}}_{{\rm{r}}}\,=\,\frac{1}{2}| {A}_{x}| +\frac{1}{2}| {A}_{y}| +| {A}_{x}| | {A}_{y}| \cos ({\phi }_{x}-{\phi }_{y}+{\rm{\pi }}/2).\end{array}$$

    (24)

    The phase ϕy changes by π as the valley polarization changes sign since the y component of the current comes from the anomalous contribution and, thus, is proportional to the Berry curvature, which has the same magnitude but opposite sign in both valleys. As the valley polarization changes upon rotation of the bicircular field, the interference (cosine) term in the expression above oscillates sinusoidally, switching sign with a switch in valley polarization. Additionally, the interference term of the two helicities oscillates out of phase because of the factor ±π/2. Extended Data Fig. 4 shows the interference term of the two helicity components, which indeed oscillate sinusoidally and out of phase. As expected, these interference terms are a maximum or a minimum when there is maximum valley polarization and zero when there is none. The asymmetry of these two interference terms completely characterizes the valley polarization.

    Yet, the signal observed in the experiment also includes the amplitude term in the equation above, \(\frac{1}{2}|{A}_{x}|+\frac{1}{2}|{A}_{y}|\), which also oscillates. Its oscillation comes from unequal population injection as a function of rotation and other nonlinear effects occurring during the harmonic generation. However, this term is the same for both helicities, and thus, it is merely a background introducing higher-order Fourier components into the oscillation. We plot this term in Extended Data Fig. 4.

    The helicity signal is then the sum of the amplitude term, which is common to both helicities, and the interference term, which is different for each helicity and which contains the information on the valley polarization. The total left and right signals give, respectively, the red and green curves in Extended Data Fig. 4 and also in the main text, which is the curve to be compared with the experiment.

    Importantly, regardless of the value of the amplitude term, since it is a background common to both helicities, we can remove its influence. For this, we Fourier-filtered the oscillation to extract only the 120° periodic oscillation. In this way, the asymmetry of the two helicity signals after Fourier filtering characterizes the valley polarization, with the change of sign indicating valley switching.

    Note that the helicity-resolved H3 probe signal as a function of the pump trefoil rotation is essentially the same regardless of whether the probe is polarized along Γ–K or Γ–M (Extended Data Fig. 5).

    Experimental details

    Laser system

    The laser pulses used for the experiments were from a mid-infrared laser system based on optical parametric chirped-pulse amplification (OPCPA). The details are in ref. 45. In brief, the laser for the mid-infrared OPCPA was from a 1 µm Innoslab Yb laser system. The pulses were used to generate the seed and the pump for the OPCPA. The OPCPA system produced pulses at 2.03 µm centre wavelength with a 100 kHz repetition rate. During the experiment, the average power obtained from the laser was 5.5–6 W with a pulse duration of approximately 25 fs. The pulse duration was carefully characterized using a frequency-resolved optical gating46 with a set-up developed in-house. The laser pulses were characterized after they had passed through the interferometer. To accurately determine the temporal characteristics of the pulses used in the experiment, they were picked up right before they entered the reflective objective of the microscope arrangement. A second-harmonic generation (SHG) frequency-resolved optical gating was used to characterize the 1 µm pulses in a beta-barium borate crystal, whereas the 2 µm pulses were characterized by a surface third-harmonic generation frequency-resolved optical gating on glass (NBK7), both in a non-collinear geometry. The results of these measurements are shown below.

    Interferometer

    A large part of the experimental set-up was a three-arm Mach–Zehnder interferometer, as shown in Extended Data Fig. 6. Various aspects of the interferometer are described in detail in the following sections.

    Pump

    The 2 µm wavelength pulses from the laser source were fed directly into the three-arm interferometer. First, the pulses were split in two by a 50–50 beam splitter (red beam from right to left in Extended Data Fig. 6). The reflected part proceeded to the pump and the transmitted one to the probe arm. The pump beam was sent through a 1.5-mm-thick lithium niobate (LiNbO3) crystal (SHG) cut at 45.6°. This interaction produced a second pulse at half the wavelength (frequency of 2ω) of the fundamental (frequency of ω) by sum frequency generation (SHG)47. LiNbO3 is suited well for a 2 µm fundamental wavelength, given its wide transparency range in the mid-infrared of up to 3.5 µm. The phase-matching conditions (type 1) led to the second-harmonic component being cross-polarized with respect to the fundamental pulse47. The co-propagating two-colour pulses (ω and 2ω) were separated using a custom-designed dichroic beam splitter. The ω arm passed through a variable neutral-density filter, a retro-reflection stage and CaF2 as used in the probe arm, but without the piezo motion rails, as the length of this arm was fixed with respect to the other arms. Additionally, a wire grid polarizer was placed in its path to clean its polarization state before it combined with the 2ω arm at another dichroic beam splitter. The 2ω arm was reflected off the first dichroic beam splitter at 90° and traversed the exact same arrangement as the ω arm. The only difference was a different pair of custom chirped mirrors for 2ω on the delay stage above a closed-loop stick–slip piezo nano-positioning rail with a positioning resolution of 1 nm, a different amount of dispersion-compensating material and a perpendicular axis set on the polarizer. The pump arm (co-propagating ω and 2ω) was further sent through a long-pass spectral filter (F1) to block the parametric optical signals generated at the harmonics of the two-colour pump in the LiNbO3 crystal. Finally, the two-colour pump (ω and 2ω) pulses passed through the fused-silica wedged pair to recombine with the probe pulses (ω), which were reflected off it.

    After the three-arm interferometer, the laser beam was expanded using a reflective telescope arrangement to roughly match the input diameter of the tight-focusing reflective objective and adjust the beam divergence. However, right before the focusing objective, there was a broadband quarter-wave plate (λ/4) with its optical axis at 45° with respect to the cross-polarized axis of the two-colour pump. This wave plate arrangement transformed the linear, cross-polarized, pump pulses into circularly polarized, counter-rotating pulses that look like a trefoil or a three-leaf pulse in the XY plane, as required in the experiment. The quarter-wave plate was intentionally placed right before the focusing element to prevent any changes in ellipticity due to a phase shift between the s- and p-polarized components upon reflection, especially from beam-folding mirrors and other coated optical elements. For the ω and 2ω pump components, the pulse durations measured just before the focusing objective were about 26 and 48 fs, respectively. Extended Data Fig. 7 depicts the spectral and temporal characteristics of the ω and 2ω pump components. A similar kind of waveform synthesizer was also used earlier in attosecond-controlled strong-field experiments by the group36. The data shown in the manuscript were obtained with the pump intensity in the range 4–7 TW cm2. For the intensity scaling measurements, the overall power of the pump beam was changed with a variable neutral-density filter keeping the relative power ratio between the components intact.

    Probe

    In the probe arm, the pulses went through a variable neutral-density filter followed by a delay stage, which, along with a pair of silver retro-reflecting mirrors, hosted two customized chirped mirrors for simultaneous positive dispersion and spectral filtering. Spectral filtering is crucial given the existence of weak optical signals at lower wavelengths arising from the parametric processes in various crystals in the laser system. The delay stage was mounted on a closed-loop stick–slip piezo rail (Smaract SLC-24 series) with a positioning resolution of 1 nm. Further down, the pulses went through a defined thickness of material (CaF2) to compensate for excess positive dispersion. Additionally, another long-pass spectral filter was placed in the beam path to further suppress the unwanted optical signals at lower wavelengths. Finally, the probe pulses went through a half-wave (λ/2) plate and a quarter-wave (λ/4) plate, after which they were reflected off the wedge plate and recombined with the pump beam. This wave-plate combination allowed us to control the polarization state of the probe pulses, and the mechanism is described in greater detail later. This wedge pair arrangement not only acted as a beam recombination element but also as a power attenuator for the probe pulses, as only 4% of the power was reflected. After being recombined, the probe beam followed the collinear path with the pump beam. Just before the focusing objective, a pulse duration of about 26 fs was achieved for the probe pulses.

    As shown in Extended Data Fig. 6, a λ/4 plate was the last optical element before the pulses entered the reflective objective. This led to a major problem in which the third arm (or the linearly polarized probe as in this experiment) cannot remain linear once it has passed through the λ/4 plate unless it is along the optical axis at 45°. Also, a linear polarization launched at 45° with respect to the s- or p-polarized states would lose its linear contrast, as it would become elliptical on acquiring a different phase shift in the s and p components on every reflective optic in its beam path. To have full flexibility over the polarization state of the probe pulses after the λ/4 plate, a scheme was implemented such that a combination of λ/2 and λ/4 wave plates were additionally placed in the probe arm, as depicted in Extended Data Fig. 6. Intuitively, one can think of these additional plates as inducing perfectly opposing elliptical polarization, which cancels out in the final λ/4 before the reflective objective to produce linearly polarized light with a high extinction ratio. This scheme was numerically tested using a Jones matrix approach. It was observed that any arbitrary shifts in phase between the s and p components in the beam path between the two λ/4 wave plates can be compensated. However, changes in magnitude between the s and p components lead to a deviation from linearity and cannot be compensated for by this scheme.

    A movable silver mirror was placed at 45° right before the reflective objective intercepting the probe pulses to optimize and characterize the polarization extinction ratio or linearity. The pulses were then guided to an InGaAs photodiode with a polarizer attached to it at a fixed angle. The fixed angle was such that the probe polarization was aligned along s or p to prevent any additional ellipticity induced by the intercepting mirror, which would not be present otherwise during the experiment.

    The data shown in the main manuscript were obtained at a pump–probe delay of about 60–110 fs.

    Trefoil pump rotation

    When the bicircular ω and 2ω components of the pump were combined in the interferometer such that the E field ratio at the focus was 2:1, the coherent sum of their electric fields in the XY plane (the plane perpendicular to propagation) was transformed to that of a trefoil waveform. The rotation of the trefoil waveform was controlled by the subcycle phase delay between the ω and 2ω components. Experimentally, this was achieved by introducing an optical path difference between the ω and 2ω arms. When the central wavelength (λ0) of the ω arm was 2 µm, a rotation of 360° was induced by delaying the piezo stage by 3 µm. This information was used to convert the stage delay to angular rotation, which was recorded as the experimental data.

    Interferometric stability

    During the experiment, it was critical that the angle of the three-leaf or trefoil pump remained stable, as this was directly linked to the delay between the two colours in the pump arm. To characterize the delay stability, an additional temperature-stabilized continuous-wave diode laser (Thorlabs L785P090 with LDMT9) was sent through the two pump arms to interferometrically measure its path difference over time.

    Using the above-mentioned scheme, the interferometric stability was found to be highest around 2 h after switching on the driving laser system. Additionally, tests were carried out to measure the stability when the laser was going through the interferometer and the piezo delay stage being scanned, as during the experiment, as illustrated in Extended Data Fig. 8. Over a period of 10 min, the standard deviation of the position generated by the closed-loop piezo stages from the position extracted from the continuous-wave interferometer was close to 38.1 nm, which roughly translates to about 4.6° in rotation error of the ω and 2ω bicircular trefoil structure. A similar scheme with active stabilization was used earlier and achieved few tens of attosecond interferometric stability48.

    Microscope

    The core segment of the microscope (Extended Data Fig. 9) applied tight focusing of laser pulses from all three interferometer arms, followed by a collection and collimation configuration before the light proceeded to the detection apparatus. A 500-µm-thick fused-silica substrate with the hBN monolayer on its front surface was placed between these components.

    The focusing was achieved without adding any dispersion or chromatic aberration by using a reflective objective with a numerical aperture of 0.4. The beam profile in the interaction region was characterized by placing a CMOS sensor in the focal plane. A cross section of the resulting two-dimensional signal on the sensor is shown in Extended Data Fig. 10 for all three interferometer arms. The beam waists extracted from the fit were about 8.0, 10.0 and 9.7 µm for the 2ω pump, ω pump and ω probe arms, respectively. The beam was largely circular at the focus, and the residual ellipticity was below 5% for each arm. The small focus spot sizes not only allowed us to spatially restrict the laser interaction to a single hBN monocrystalline grain but also gave a Rayleigh length (201 µm for 2ω and 157 µm for ω) that was significantly less than the thickness of the fused-silica substrate (Extended Data Fig. 9). By observing the surface-enhanced perturbative harmonics, we could individually optimize the substrate position (back or front of the hBN-coated surfaces) at the focus.

    Once the fused-silica substrate was at the focus, the diverging beam along with other nonlinear signals was recollimated using a long-working-distance transmissive objective with a numerical aperture of 0.45. Using a closely matched numerical aperture allowed the divergent beams to be entirely collected.

    Further down, the laser pulses were polarization resolved using a quartz Wollaston prism. The prism introduced an angular separation of 10° between the p- and s-polarized components, which were then loosely focused by a CaF2 lens onto the two separate large-area photodiodes. A λ/4 wave plate was placed between the transmission objective and the Wollaston prism with its optical axis at 45° with respect to the prism to convert the photodiodes into helicity detectors.

    Spatio-temporal overlap

    As described earlier, the implementation of a three-arm interferometer leads to the laser pulses travelling through three different non-collinear optical paths. Upon recombination, they require careful alignment such that they spatially and temporally overlap in the interaction region. To ensure this, the second-order and third-order nonlinearity in fused silica is utilized such that a two- and three-photon transition of ω and 2ω leads to the production of 3ω and 4ω photons, respectively. To utilize this effect, the 2ω pump is chosen as a common reference and the other pulses are aligned onto this particular arm. An initial spatial alignment of all three arms using irises is enough to ensure a coarse spatial overlap between the pulses at the focus on the fused-silica substrate. Soon after, the 2ω pump arm is delayed with respect to the ω pump arm while observing the 4ω light with an appropriate band-pass filter before the photodiodes. As the pump arms are counter-rotating bicircularly in their polarization state with respect to each other, the 3ω channel is disallowed. After the 2ω pump delay is fixed, its delay with respect to the probe arm is determined by scanning the probe delay stage and observing the 3ω or 4ω channels, as both these transitions are allowed. After the temporal alignment, the spatial overlap is checked and optimized based on the respective parametric signals.

    Lock-in polarization detection

    In this experiment, the signal of interest is the 3ω harmonic generated by the probe and modulated by the pump. However, several sources of light are co-propagating along with the signal and impinging on the diodes. Hence, a simple amplified detection of the diode current is not enough to distinguish the relevant 3ω signal (λ ≈ 667 nm). Signals that are spectrally different are already filtered using high- or low-pass spectral filters, which block the fundamental 2ω, components above λ = 750 nm and other components below λ = 600 nm. However, 3ω light can be produced by the pump (ω) and probe (ω) pulses individually by the third-harmonic upconversion process and by the combination of pump (2ω) and probe (ω) through a two-photon process on the silica substrate, thereby further polluting the experimental signal of interest.

    We overcome this major problem by modulating either the ω arm or the 2ω arm of the interferometer using a mechanical chopper wheel with a 50% duty cycle at a known frequency. Hence, the 3ω signal of interest, which was probed by a modulated bicircular pump, was also modulated at the chopping frequency. To chop the ω arm, an unwanted 3ω signal, generated by the third-harmonic upconversion of ω pump, falls entirely on a single diode (D1) because its helicity remains the same as that of the ω pump. Therefore, the other diode (D2) remains background-free. Moreover, when the 2ω arm is chopped, an unwanted 3ω signal, generated through a pump (2ω) and probe (ω) two-photon process, falls on the D2 diode, as its helicity is the same as that of the 2ω signal. In that case, the D1 diode remains background-free. Therefore, a combination of two independent measurements while keeping all the parameters unchanged, first chopping the ω arm and subsequently the 2ω arm, can fulfil the requirement for detecting both the helicities of the 3ω signal in a background-free condition. Note that the continuous service of the continuous-wave reference interferometer ensures the interferometric stability between these two measurements. This modulated signal impinging on the photodiodes is amplified by two high-gain, low-noise, trans-impedance amplifiers placed right behind the respective photodiodes to minimize the noise picked up by the cables. The amplified voltage signals are then fed into two time-synchronized lock-in amplifiers (Zurich Instruments).

    Extended Data Table 1 lists the signals detected along with their origin. It also depicts the method by which the background signals are rejected while keeping the relevant signal detectable.

    hBN monolayer sample

    The hBN monolayer samples used in this experiment were obtained from a commercial supplier (ACS Materials). These were grown using chemical vapour deposition and subsequently transferred onto a 500-µm-thick, large-area (5 cm diameter), fused-silica substrate. Although the monolayer patches, of characteristic size of about 10 µm as typical for samples grown by chemical vapour deposition, had their large areas covered, their orientations were random. These individual hBN patches were characterized in situ by microscopy.

    SHG polarization-resolved microscopy

    To characterize the quality of the hBN patches individually, we used in situ polarization-resolved SHG microscopy. This was repeated before every experimental run.

    SHG polarization-resolved microscopy was done with the 1 µm wavelength arm of the set-up. The perturbative second harmonic was detected by a photodiode or spectrometer after being collected by the transmission objective and passed through band-pass filters and eventually a polarizer. The SHG is not only the strongest component but being an even harmonic, it is a pure indicator of broken inversion symmetry in a crystal. Hence, the emission was also fully absent from the fused-silica surface, leaving only odd layers of hBN (1L, 3L, 5L, …, (2n + 1)L), which break inversion symmetry to produce SHG. As n increases, the magnitude of SHG drops49,50. Hence, a spatial scan over the substrate with the SHG strength as an optimization parameter can locate the thinner odd layers of hBN.

    Another important advantage of this technique is that it can be performed in situ during the final band engineering experiment to make sure that all three probe and bicircular pump pulses also excite the same hBN grain as independently observed by this characterization technique.

    Further, not only can this technique determine the inversion-symmetry breaking but it can also detect the orientation of the hBN crystals by observing the polarization response of the material. The two unique light-induced oscillation directions (armchair and zigzag) make the outgoing SHG polarization rotate in the opposite direction and at twice the rate, as a function of the rotation of the incoming (pump) light polarization. This has also been widely investigated and demonstrated in recent works49,50. Two results from two different positions on the hBN sample used are displayed in Extended Data Fig. 11. The characteristic four-lobe polarization-dependent signal implies that the interaction region of the laser irradiation is small enough to fit into the monocrystalline hBN patch. Thus, the single crystalline orientation is dominant and is not averaged out over several grains with different crystalline orientations. Further, Extended Data Fig. 11a,b shows that the four-lobe structure exhibits an angular offset with the four-lobe structure obtained from a neighbouring hBN patch. This manifests from the hBN crystalline patches, which are oriented at arbitrary angles at different laser excitation sites. Usually, a six-lobe feature in the SHG signals can be used to indicate the orientation of hBN (ref. 49). This difference is attributed to a lab-to-incident polarization frame conversion. In the present case, the SHG polarization microscopy was done in transmission mode while keeping the sample fixed for a given hBN patch. The sensitivity of this technique to the presence of hBN on the fused-silica substrate allows it to be used as a marker for laser-induced damage. This confirms that the suitable intensity range before damage occurs is close to 1013 W cm2 .

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