The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

Editor's note: As an emerging technology, quantum computing brings unique promises in
creating a fundamentally different paradigm of information processing. This article reviews …

Spin qubits created from gate-defined silicon metal–oxide–semiconductor quantum dots are
a promising architecture for quantum computation. The high single qubit fidelities possible in …

Pauli channels are ubiquitous in quantum information, both as a dominant noise source in
many computing architectures and as a practical model for analyzing error correction and …

Randomized benchmarking is a promising tool for characterizing the noise in experimental
implementations of quantum systems. In this paper, we prove that the estimates produced by …

Randomized benchmarking (RB) is widely used to measure an error rate of a set of quantum
gates, by performing random circuits that would do nothing if the gates were perfect. In the …

We analyze randomized benchmarking for arbitrary gate-dependent noise and prove that
the exact impact of gate-dependent noise can be described by a single perturbation term …

Achieving error rates that meet or exceed the fault-tolerance threshold is a central goal for
quantum computing experiments, and measuring these error rates using randomized …

Randomized benchmarking is a technique for estimating the average fidelity of a set of
quantum gates. However, if this gateset is not the multi-qubit Clifford group, robustly …

We describe a practical experimental protocol for robustly characterizing the error rates of
non-Clifford gates associated with dihedral groups, including small single-qubit rotations …