On linearity or non-linearity in machine learning for quantum chaotic dynamics

arXiv:2610.10697 · quant-ph, cond-mat.stat-mech, cs.LG · Submitted 2026-10-07 · Read on arXiv

quant-ph, cond-mat.stat-mech, cs.LG

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

Transformer — 59× in this paper · explained in 2 episodes
Accuracy — 18× in this paper · explained in 1 episode
Entanglement — 9× in this paper · explained in 3 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Dynamical regimes — 5× in this paper · explained in 2 episodes
Matrix Product States — 3× in this paper
Time Series Forecasting — 3× in this paper · explained in 3 episodes
Chaotic Dynamics — 2× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Exposure Bias — 2× in this paper · explained in 2 episodes
Hilbert Space — 2× in this paper · explained in 2 episodes
Quantum Circuits — 2× in this paper · explained in 2 episodes
Transformer Architecture — 2× in this paper · explained in 2 episodes
Anyons — 1× in this paper · explained in 2 episodes
Attention Mechanism — 1× in this paper · explained in 2 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Eigenstate Thermalization Hypothesis (ETH) — 1× in this paper · explained in 4 episodes
Matrix Product States (MPS) — 1× in this paper · explained in 2 episodes
Quantum Trajectories — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Temporal consistency — 1× in this paper · explained in 2 episodes
Transformer Models — 1× in this paper · explained in 2 episodes