Large-scale sparse wavefunction circuit simulator for applications with the variational quantum eigensolver

Understand

The standard paradigm for state preparation on quantum computers for the simulation of physical systems in the near term has been widely explored with different algorithmic methods.

• One such approach is the optimization of parameterized circuits, but this becomes increasingly challenging with circuit size.
• As a consequence, the utility of large-scale circuit optimization is relatively unknown.
• In this work we demonstrate that purely classical resources can be used to optimize quantum circuits in an approximate but robust manner such that we can bridge the resources that we have from high performance computing and see a direct transition to quantum advantage.