Speaker
Description
In this talk we discuss two approaches to simulating quantum circuits and devices. First, we discuss current work on developing a massively parallel open quantum system emulator using tensor networks with a focus on neutral atom quantum computers. We demonstrate our scaling as a function of nodes; contrast and benchmark two different ways to represent the quantum state of the system; and explore how approximations inherent to tensor networks (i.e. limited bond-dimensions) affect the accuracy of the simulation. Secondly, we discuss a new paradigm for simulating quantum circuits which differs from state-vector and tensor-network approaches. In this alternative approach, we map the quantum state to a probability distribution and then variationally evolves this probability distribution using autoregressive models.