6 papers
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…
Extended dissipaton theory with application to adatom-graphene composite
Yu Su, Yao Wang, Zi-Fan Zhu +4
In this paper, we present the extended dissipaton theory, including the dissipaton-equation-of-motion formalism and the equivalent dissipaton-embedded quantum master equation. Thes…
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…
HEOM-QUICK2: a general-purpose simulator for fermionic many-body open quantum systems -- An Update
Daochi Zhang, Lyuzhou Ye, Jiaan Cao +4
Many-body open quantum systems (OQS) have a profound impact on various subdisciplines of physics, chemistry, and biology. Thus, the development of a computer program capable of acc…
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…