5 papers
Neural Network Solution of Non-Markovian Quantum State Diffusion and Operator Construction of Quantum Stochastic Process
Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen
Non-Markovian quantum state diffusion provides a wavefunction-based framework for modeling open quantum systems. In this work, we introduce a novel machine learning approach based…
Twin-Space Representation of Classical Mapping Model in the Constraint Phase Space Representation: Numerically Exact Approach to Open Quantum Systems
Jiaji Zhang, Jian Liu, Lipeng Chen
The constraint coordinate-momentum \textit{phase space} (CPS) has recently been developed to study nonadiabatic dynamics in gas-phase and condensed-phase molecular systems. Althoug…
Simulating Quantum Many-Body States with Neural-Network Exponential Ansatz
Weillei Zeng, Jiaji Zhang, Lipeng Chen +1
Preparing quantum many-body states on classical or quantum devices is a very challenging task that requires accounting for exponentially large Hilbert spaces. Although this complex…
Neural Quantum Propagators for Driven-Dissipative Quantum Dynamics
Jiaji Zhang, Carlos L. Benavides-Riveros, Lipeng Chen
Describing the dynamics of strong-laser driven open quantum systems is a very challenging task that requires the solution of highly involved equations of motion. While machine lear…
Non-markovian neural quantum propagator and its application to the simulation of ultrafast nonlinear spectra
Jiaji Zhang, Lipeng Chen
The accurate solution of dissipative quantum dynamics plays an important role on the simulation of open quantum systems. Here we propose a machine-learning-based universal solver f…