Cody Jones

TL;DR: Several quantum simulations of chemistry with up to one dozen qubits are performed, including modeling the isomerization mechanism of diazene, and error-mitigation strategies based on N-representability that dramatically improve the effective fidelity of the experiments are demonstrated.

TL;DR: The application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algorithm (QAOA) is demonstrated and an approximation ratio is obtained that is independent of problem size and for the first time, that performance increases with circuit depth.

TL;DR: Two constructions for the Toffoli gate are presented which substantially reduce resource costs in fault-tolerant quantum computing and a quantum circuit is presented which can detect a single ${\ensuremath{\sigma}}^{z}$ error occurring with probability $p$ in any one of eight $T$ gates required to produce the ToFFoli gate.

TL;DR: In this paper, a series of quantum simulations of chemistry were performed, the largest of which involved a dozen qubits, 78 two-qubit gates, and 114 one qubit gates.