Skip to content
DraconiticResearch
Search Sources API
194,161 studies31 sourcesUpdated 6 min ago
PreprintCC BY 4.0arXiv

Quantum Markov State Models for Metastable Dynamics

Abstract

Open quantum systems can rapidly lose most microscopic information, leaving only a few degrees of freedom to govern their long-time dynamics. Classical Markov state models (MSMs) describe such metastable dynamics as transitions among a few representative phases and are widely used to reduce complex-system dynamics in condensed matter and chemical physics. In quantum systems, however, phase labels alone are insufficient when coherence persists between metastable states. Even when the slow modes are known, their spectral projection need not produce valid quantum states. We construct quantum Markov state models (QMSMs) that describe the surviving information and its evolution on a small physical state space containing classical sectors and quantum matrix blocks. We quantify metastability by assuming that the evolution channel π’ž changes little when applied a second time, with sufficiently small defect Ξ·=|π’ž2βˆ’π’ž|diamond, and that the number of slow degrees of freedom is bounded independently of the full system size. Under these assumptions, we construct compression and reconstruction channels whose composition recovers every reduced state exactly, while the reverse composition gives an exactly idempotent channel approximating π’ž, answering Kitaev's exact-rounding question [Kit25]. Our constructions give an optimal diamond-norm bound of π’ͺ(Ξ·1/3) on all input states, as well as an improved bound of π’ͺ(Ξ·1/2) on metastable states prepared by π’ž, with constants depending only on the slow dimension. The reduced transition channel can be iterated to predict the microscopic dynamics with controlled error. We illustrate the QMSM through a weakly driven dissipative spin chain supporting either a metastable logical qubit or long-lived classical phases.

Related

  1. Ergodic and Metastable Behavior of Stochastic Popularity Dynamics in Social Networks
    Chiara Ravazzi, Paolo Frasca, Gaya Cocca
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
  2. Classical and Quantum Dynamics in State Space: Projective Hilbert Space, Measurement, and Classical Emergence
    Alexey A. Kryukov
    arXivPreprintarXiv licenceFull textMathematical physicsQuantum physics & quantum informationarXiv
  3. Finite-State Time-Inhomogeneous Markov Chains Conditioned to Survive
    Kohki Iba
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  4. Near-Optimal Learning of Quantum Many-Body Systems from Gibbs and Thermal Metastable States via the Stationarity Test
    Tai Hsuan Yang
    arXivPreprintarXiv licenceFull textMathematical physicsQuantum physics & quantum informationarXiv
  5. Differential Properties of Objective and Value Functions for Discounted Markov Decision Processes with Finite State and Action Sets
    Eugene A. Feinberg, Gaojin He
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
BibTeX
@misc{li2026quantum,
  title = {{Quantum Markov State Models for Metastable Dynamics}},
  author = {Hao-En Li and Lin Lin and Michael Ragone},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2609.40214},
  eprint = {2609.40214},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.40214},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Quantum Markov State Models for Metastable Dynamics
AU  - Hao-En Li
AU  - Lin Lin
AU  - Michael Ragone
PY  - 2026
DA  - 2026/10/05
PB  - arXiv
DO  - 10.48550/arxiv.2609.40214
UR  - https://arxiv.org/abs/2609.40214
AB  - Open quantum systems can rapidly lose most microscopic information, leaving only a few degrees of freedom to govern their long-time dynamics. Classical Markov state models (MSMs) describe such metastable dynamics as transitions among a few representative phases and are widely used to reduce complex-system dynamics in condensed matter and chemical physics. In quantum systems, however, phase labels alone are insufficient when coherence persists between metastable states. Even when the slow modes are known, their spectral projection need not produce valid quantum states. We construct quantum Markov state models (QMSMs) that describe the surviving information and its evolution on a small physical state space containing classical sectors and quantum matrix blocks. We quantify metastability by assuming that the evolution channel π’ž changes little when applied a second time, with sufficiently small defect Ξ·=|π’ž^2βˆ’π’ž|_diamond, and that the number of slow degrees of freedom is bounded independently of the full system size. Under these assumptions, we construct compression and reconstruction channels whose composition recovers every reduced state exactly, while the reverse composition gives an exactly idempotent channel approximating π’ž, answering Kitaev's exact-rounding question [Kit25]. Our constructions give an optimal diamond-norm bound of π’ͺ(Ξ·^1/3) on all input states, as well as an improved bound of π’ͺ(Ξ·^1/2) on metastable states prepared by π’ž, with constants depending only on the slow dimension. The reduced transition channel can be iterated to predict the microscopic dynamics with controlled error. We illustrate the QMSM through a weakly driven dissipative spin chain supporting either a metastable logical qubit or long-lived classical phases.
ER  -