Neural quantum states for non-Markovian open quantum dynamics in bosonic environments

Condensed-phase quantum dynamics are strongly shaped by vibrational, solvent, and protein environments, yet their nonperturbative, non-Markovian description requires a rapidly growing high-dimensional representation as environmental complexity increases. Here, we extend neural quantum states (NQS) to the dissipaton-embedded quantum master equation (DQME) for bosonic environments using a complex-valued restricted Boltzmann machine adapted to nonbinary bosonic occupations. An explicit filtering scheme further concentrates the neural representation on dynamically relevant dissipaton configurations. The resulting NQS-DQME approach reproduces representative quantum dissipative dynamics while effectively compressing the reduced density tensor (RDT). For an anharmonic model of condensed-phase hydrogen transfer, the method also reproduces weak-coupling tunneling dynamics. At stronger system-bath coupling, however, errors become localized in a small subset of RDT elements, showing that a small global variational residual does not necessarily ensure accurate chemically relevant observables. This limitation identifies observable-level error control as a key challenge for reliable long-time NQS propagation.

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Publication Details

Journal
ChemRxiv
Published
2026-10-28
DOI
https://doi.org/10.26434/chemrxiv.15011173/v1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
preprint

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preprint

Neural quantum states for non-Markovian open quantum dynamics in bosonic environments

Zhiqian Huang, Igor Ying Zhang, Xin Xu, Liwei Ge et al.
4 links
ChemRxiv
Quantum Computing Algorithms and Architecture
preprint

Neural quantum states for non-Markovian open quantum dynamics in bosonic environments

Zhiqian Huang, Igor Ying Zhang, Xin Xu, Liwei Ge, Xiao Zheng, Long Cao, Qingdong Zhu
preprint en

Abstract

Condensed-phase quantum dynamics are strongly shaped by vibrational, solvent, and protein environments, yet their nonperturbative, non-Markovian description requires a rapidly growing high-dimensional representation as environmental complexity increases. Here, we extend neural quantum states (NQS) to the dissipaton-embedded quantum master equation (DQME) for bosonic environments using a complex-valued restricted Boltzmann machine adapted to nonbinary bosonic occupations. An explicit filtering scheme further concentrates the neural representation on dynamically relevant dissipaton configurations. The resulting NQS-DQME approach reproduces representative quantum dissipative dynamics while effectively compressing the reduced density tensor (RDT). For an anharmonic model of condensed-phase hydrogen transfer, the method also reproduces weak-coupling tunneling dynamics. At stronger system-bath coupling, however, errors become localized in a small subset of RDT elements, showing that a small global variational residual does not necessarily ensure accurate chemically relevant observables. This limitation identifies observable-level error control as a key challenge for reliable long-time NQS propagation.

ChemRxiv
University of Science and Technology of China (CN), Fudan University (CN)
National Natural Science Foundation of China, Fudan University, National Science and Technology Major Project
Quantum Computing Algorithms and Architecture
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Neural quantum states for non-Markovian open quantum dynamics in bosonic environments — Zhiqian Huang, Igor Ying Zhang, et al. · ChemRxiv (2026) | TGRS Research Map | TGRS