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most citedDirac Strings and Magnetic Monopoles in Spin Ice Dy2Ti2O7

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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…

cond-mat.quant-gas2026

Observation of far-from-equilibrium scaling in the transient dynamics of 2D quantum magnets

Fabio Bensch, Umberto Borla, Federico Balducci +7

The transient regime of far-from-equilibrium quantum many-body dynamics lacks the established organizing principles that universality and scaling provide in equilibrium. It is leas…

cond-mat.stat-mech2026

Fractal deconfinement and confinement in Sierpinski ice

James Walkling, Roderich Moessner

We study the six-vertex model on the Sierpinski gasket, a four-coordinated hierarchical fractal with Hausdorff dimension . Given the importance of dimensionality for t…

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,…

cond-mat.str-el2026

Hydrodynamic Memory and Long-Time Tails in Clean Frustrated Magnets

Yufei Pei, Claudio Castelnovo, Roderich Moessner

In a simple, clean but constrained magnet, we identify a self-interacting random walk with memory. For the motion of a single monopole -- a fractionalized quasiparticle in spin ice…

cond-mat.str-el2026

Universal Dynamic Scaling of 2D Quantum Ising Transition on the Fuzzy Sphere

Meng Zeng, Shuai Yin, Roderich Moessner

We revisit the problem of \textit{real-time} quantum dynamics of the paradigmatic two dimensional transverse-field Ising model using the recently developed fuzzy sphere regularizat…