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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

Validation and calibration of quantum hardware through the many-body quantum Mpemba effect

Francesco Campaioli, Marco Avesani, Oren Raz +2

We introduce a validation process that harnesses engineered many-body relaxation to control and calibrate quantum hardware. On two independently developed neutral-atom processors,…

quant-ph2026

Floquet Many-Body Cages

Tom Ben-Ami, Roderich Moessner, Markus Heyl

Many-body cages have very recently emerged as a general route for nonergodic behaviour in quantum matter. Here, we show that new types of many-body cages can be engineered in Floqu…

quant-ph2026

Protecting Quantum Simulations of Lattice Gauge Theories through Engineered Emergent Hierarchical Symmetries

Zhanpeng Fu, Wei Zheng, Roderich Moessner +2

We present a strategy for the quantum simulation of many-body lattice models with constrained Hilbert spaces. We focus on lattice gauge theories (LGTs), which underlie a wide range…

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…

quant-ph2025

Complex and tunable heating in conformal field theories with structured drives via classical ergodicity breaking

Liang-Hong Mo, Roderich Moessner, Hongzheng Zhao

Emission and absorption of energy are fundamental aspects of non-equilibrium dynamics. The heating induced by driving a many-body system is perhaps the most straightforward diagnos…