Easwar Magesan, Jay M. Gambetta, et al.
Physical Review Letters
Randomised benchmarking is a widely used experimental technique to characterise the average error of quantum operations. Benchmarking procedures that scale to enable the characterisation of n-qubit circuits rely on efficient procedures for manipulating those circuits and, as such, have been limited to subgroups of the Clifford group. However, universal quantum computers require additional, non-Clifford gates to approximate arbitrary unitary transformations. We define a scalable randomised benchmarking procedure over n-qubit unitary matrices that correspond to protected non-Clifford gates for a class of stabiliser codes. We present efficient methods for representing and composing group elements, sampling them uniformly and synthesising corresponding poly (n)-sized circuits. The procedure provides experimental access to two independent parameters that together characterise the average gate fidelity of a group element.
Easwar Magesan, Jay M. Gambetta, et al.
Physical Review Letters
Jerry M. Chow, Jay M. Gambetta, et al.
Nature Communications
Easwar Magesan, Jay M. Gambetta, et al.
Physical Review Letters
Runzhou Tao, Yunong Shi, et al.
PLDI 2022