A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Quantum computers are traditionally operated by programmers at the granularity of a gate-
based instruction set. However, the actual device-level control of a quantum computer is …

PyGSTi is a Python software package for assessing and characterizing the performance of
quantum computing processors. It can be used as a standalone application, or as a library …

We describe an experimental effort designing and deploying error-robust single-qubit
operations using a cloud-based quantum computer and analog-layer programming access …

Bosonic modes are prevalent in all aspects of quantum information processing. However,
existing tools for characterizing the quality, stability, and noise properties of bosonic modes …

We introduce and experimentally test a machine-learning-based method for ranking
logically equivalent quantum circuits based on expected performance estimates derived …

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

Coherent control errors, for which ideal Hamiltonians are perturbed by unknown
multiplicative noise terms, are a major obstacle for reliable quantum computing. In this paper …

Crosstalk and several forms of coherent noise are invisible when a qubit or a gate is
calibrated or benchmarked in isolation. These are unlocked during the execution of a full …

Qubits encoded in hyperfine states of trapped ions are ideal for quantum computation given
their long lifetimes and low sensitivity to magnetic fields, yet they suffer from off-resonant …