6 papers · 1 filter
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…
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…
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…
Towards Quantum Simulation of Non-Markovian Open Quantum Dynamics: A Universal and Compact Theory
Xiang Li, Su-Xiang Lyu, Yao Wang +3
Non-Markovianity, the intricate dependence of an open quantum system on its temporal evolution history, holds tremendous implications across various scientific disciplines. However…
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…