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Error Propagation Theory for Variational Non-Markovian Open Quantum Dynamics
Long Cao, Daochi Zhang, Yao Wang +4
Variational approaches based on neural quantum states and physics-informed neural networks provide powerful paradigms for simulating non-Markovian open quantum dynamics. However, e…
Simulating non-Markovian open quantum dynamics by exploiting physics-informed neural network
Long Cao, Liwei Ge, Daochi Zhang +4
This work integrates the physics-informed neural network (PINN) approach into the neural quantum state framework to simulate open quantum system dynamics, to circumvent the computa…
The Phase-Coupled Caldeira-Leggett Model: Non-Markovian Open Quantum Dynamics beyond Linear Dissipation
Ao-Xiang Chang, Yu Su, Zi-Fan Zhu +3
We introduce the \textit{Phase-Coupled Caldeira-Leggett} (PCL) model of quantum dissipation and develop an exact framework for its dynamics. Unlike the conventional Caldeira-Legget…
Stability of Quantum Systems beyond Canonical Typicality
Yu Su, Zi-Fan Zhu, Yao Wang +2
Involvement of the environment is indispensable for establishing the statistical distribution of system. We analyze the statistical distribution of a quantum system coupled strongl…
Quantum Mechanics of Open Systems in Non-Inertial Motion
Zi-Fan Zhu, Yu Su, Yao Wang +2
The study of quantum mechanics in non-inertial reference frames, particularly in the context of open systems, introduces several intriguing phenomena and challenges. This paper pre…
Simulating Non-Markovian Open Quantum Dynamics with Neural Quantum States
Long Cao, Liwei Ge, Daochi Zhang +5
Reducing computational scaling for simulating non-Markovian dissipative dynamics using artificial neural networks is both a major focus and formidable challenge in open quantum sys…