Operator Score Matching for Learning Quantum Hamiltonians

arXiv:2609.25246 · quant-ph · Submitted 2026-09-21 · Read on arXiv

quant-ph

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/shreyaalkuhs/Learning-of-Quantum-Hamiltonians-via-Opera

Terminology

Loss Function — 12× in this paper · explained in 2 episodes
Trace — 11× in this paper · explained in 2 episodes
Hilbert Space — 9× in this paper · explained in 2 episodes
Hubbard Model — 8× in this paper · explained in 3 episodes
Gibbs State — 5× in this paper · explained in 2 episodes
Accuracy — 3× in this paper · explained in 1 episode
Inverse Problem — 3× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Generative Modeling — 2× in this paper · explained in 3 episodes
Hamiltonian Learning — 2× in this paper · explained in 2 episodes
Quantum Physics — 2× in this paper · explained in 10 episodes
Bayesian Inference — 1× in this paper · explained in 5 episodes
Consistency — 1× in this paper · explained in 3 episodes
Entanglement — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Score Function — 1× in this paper · explained in 4 episodes
Shadow Tomography — 1× in this paper · explained in 4 episodes
Spectral Gap — 1× in this paper · explained in 5 episodes
Topological Order — 1× in this paper · explained in 2 episodes

Sources

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