Solving the Liouvillian Gap with Artificial Neural Networks

Dong Yuan, He-Ran Wang, Zhong Wang +1

We propose a machine-learning inspired variational method to obtain the Liouvillian gap, which plays a crucial role in characterizing the relaxation time and dissipative phase tran…