5 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…
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…
Dissipatons as generalized Brownian particles for open quantum systems: Dissipaton-embedded quantum master equation
Xiang Li, Yu Su, Zi-Hao Chen +4
Dissipaton theory had been proposed as an exact and nonperturbative approach to deal with open quantum system dynamics, where the influence of Gaussian environment is characterized…
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…