pith:4O7MBMTQ
Learning thermodynamic master equations for open quantum systems
Incorporating thermodynamic consistency into learnable terms allows data-driven recovery of Hamiltonians in open quantum systems.
arxiv:2506.01882 v3 · 2025-06-02 · quant-ph · cs.LG
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\pithnumber{4O7MBMTQCBJ7JMN3NW3EBZE4BM}
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Claims
We present a data-driven model for open quantum systems that includes learnable, thermodynamically consistent terms. The trained model is interpretable, as it directly estimates the system Hamiltonian and linear components of coupling to the environment.
The assumption that thermodynamic consistency can be imposed on the learnable nonlinear terms without introducing bias that prevents accurate recovery of the Hamiltonian and couplings from finite noisy data (abstract and validation sections).
A data-driven model learns thermodynamically consistent master equations for open quantum systems, estimating Hamiltonians and couplings from synthetic two- and three-level data plus experimental two-level quantum device measurements.
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| First computed | 2026-06-23T02:13:15.424203Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3bec0b2701053f4b1bb6db640e49c0b169250e0ad95c6a92eaea18828028610
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4O7MBMTQCBJ7JMN3NW3EBZE4BM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: e3bec0b2701053f4b1bb6db640e49c0b169250e0ad95c6a92eaea18828028610
Canonical record JSON
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