Simulating Quantum Computers with Tensor Networks

Abstract

We are setting up a pipeline to simulate variational quantum algorithms for relevant system sizes. Most simulators only allow for a few qubits. With tensor networks we can access much larger systems. One of the most promising algorithms is the variational quantum eigensolver, where a parametrized circuit is optimized to prepare an approximation of the ground state. We are investigating the reverse process of disentangling a ground state to a product state variationally, so we can study the necessary circuit depth needed in order to achieve the disentangling