9 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…
Local thermal probe in a one-dimensional chain: An efficient dissipaton-based approach
Hao-Yang Qi, Zi-Fan Zhu, Yao Wang +2
We study a system consisting of an infinite one-dimensional molecular chain and a locally coupled probe. Starting from the Hamiltonian of the chain-probe composite and the correspo…
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 for higher-order bath couplings and application to non-Condon spectroscopy with anharmonicity
Zi-Fan Zhu, Yu Su, Yao Wang +2
In this work, we develop an extended dissipaton theory that generalizes the environmental couplings beyond the conventional linear and quadratic forms, enabling the treatment of ar…
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…