Periodic driving of the generalized Aubry-André model produces controllable delocalized-localized and multifractal-localized Floquet mobility edges with corresponding superdiffusive to subdiffusive transport.
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QCNN layers equivariant under pixel cyclic shifts are exactly characterized as Fourier-mode multiplexers after QFT, enabling a deep network with constant expected gradient norm at initialization.
Closed-form expressions and circuit compression enable efficient strong and weak simulation of noisy stabilizer circuits with non-deterministic measurements.
citing papers explorer
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Floquet mobility edges and transport in a periodically driven generalized Aubry-Andr\'e model
Periodic driving of the generalized Aubry-André model produces controllable delocalized-localized and multifractal-localized Floquet mobility edges with corresponding superdiffusive to subdiffusive transport.
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Pixel-Translation-Equivariant Quantum Convolutional Neural Networks via Fourier Multiplexers
QCNN layers equivariant under pixel cyclic shifts are exactly characterized as Fourier-mode multiplexers after QFT, enabling a deep network with constant expected gradient norm at initialization.
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Analytical and Compressed Simulation of Noisy Stabilizer Circuits
Closed-form expressions and circuit compression enable efficient strong and weak simulation of noisy stabilizer circuits with non-deterministic measurements.