GPU-accelerated simulations of realistic quantum systems with a focus on Quantum Information and Computation.

In this talk we present our method of numerically simulating realistic quantum systems. With recent increases in GPU processing power, we are able to simulate two-particle 2D systems on thousands of spatial sites in a reasonable time.
Even though today’s quantum computers can manipulate multiple qubits, the long-term fidelity of many-qubit operations is still poor. Numerical simulations of quantum computers can help guide experiments towards better fidelities. We focus on simulating physical qubits, which leads to a better understanding of where the errors that are observed in quantum computers and experiments come from.
We describe the techniques used to make our calculations possible, as well as present simulation results of realistic quantum experiments, including performing an entangling operation on two electron-spin qubits, controlling a charge qubit, and sound driven single electron transfer between quantum rails.