3 papers
quant-ph2026
Reinforcement Learning to Harness Approximation Errors for Long-Time Quantum Simulation
Yu-Bo Shi, Markus Heyl, Roderich Moessner +2
Accurate digital quantum simulation at long times is limited by the accumulation of errors inherent to approximate simulation. Here we introduce RL-Trotter, a reinforcement-learnin…
quant-ph2026
Boundary Floquet Control of Bulk non-Hermitian Systems
Yu-Min Hu, Yu-Bo Shi, Linhu Li +5
Boundary perturbations are generally irrelevant for bulk properties in the thermodynamic limit, as they are edge-confined and subextensive. We show that this expectation breaks dow…
cond-mat.stat-mech2025
Hamiltonian description of nonreciprocal interactions
Yu-Bo Shi, Roderich Moessner, Ricard Alert +1
In a vast class of systems, which includes members as diverse as sedimenting particles and bird flocks, interactions do not stem from a potential, and are in general nonreciprocal.…