The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks to assess the performance of quantum computing hardware and …

Building error-corrected quantum computers relies crucially on measuring and modeling
noise on candidate devices. In particular, optimal error correction requires knowing the …

Quantum computers are rapidly becoming more capable, with dramatic increases in both
qubit count and quality. Among different hardware approaches, trapped-ion quantum …

We introduce binary randomized benchmarking (BiRB), a protocol that streamlines
traditional RB by using circuits consisting almost entirely of independent identically …

A successful quantum error correction protocol would allow quantum computers to run
algorithms without suffering from the effects of noise. However, fully fault-tolerant quantum …

Rapid progress in quantum technology has transformed quantum computing and quantum
information science from theoretical possibilities into tangible engineering challenges …

Dynamical decoupling (DD) is a low-overhead method for quantum error suppression. We
describe how empirical learning schemes can be used to tailor DD strategies to the quantum …

We develop and apply an extension of the randomized compiling (RC) protocol that includes
a special treatment of neighboring qubits and dramatically reduces crosstalk effects caused …

Nuclear magnetic resonance is arguably both the best available quantum technology for
implementing simple quantum computing experiments and the worst technology for building …

The exploration of highly connected networks of qubits is invaluable for implementing
various quantum algorithms and simulations, as it allows for entangling qubits with reduced …