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quant-ph2024
Large-scale simulations of Floquet physics on near-term quantum computers
Timo Eckstein, Refik Mansuroglu, Piotr Czarnik +5
Periodically driven quantum systems exhibit a diverse set of phenomena but are more challenging to simulate than their equilibrium counterparts. Here, we introduce the Quantum High…
quant-ph2024
Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
Petr Zapletal, Nathan A. McMahon, Michael J. Hartmann
The analysis of noisy quantum states prepared on current quantum computers is getting beyond the capabilities of classical computing. Quantum neural networks based on parametrized…
quant-ph2024
Deep learning of many-body observables and quantum information scrambling
Naeimeh Mohseni, Junheng Shi, Tim Byrnes +1
Machine learning has shown significant breakthroughs in quantum science, where in particular deep neural networks exhibited remarkable power in modeling quantum many-body systems.…