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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…
Optimal control on open quantum systems and application to non-Condon photo-induced electron transfer
Zi-Fan Zhu, Yu Su, Yao Wang +1
In this work, we develop an optimal control theory on open quantum system and its environment, and exemplify the method with the application to the non-Condon photo-induced electro…
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…