Real-time quantum dynamics of thermal states with neural thermofields

Abstract

Solving the time-dependent quantum many-body Schrquotodinger equation is a challenging task, especially for states at a finite temperature, where the environment affects the dynamics. Most existing approximating methods are designed to represent static thermal density matrices, 1D systems, and/or zero-temperature states. Here, the authors propose a method to study the real-time dynamics of thermal states in two dimensions, based on thermofield dynamics, variational Monte Carlo, and neural-network quantum states.

Topics & Concepts