Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …

BACKGROUND The past two decades have seen intense efforts aimed at building quantum
computing hardware with the potential to solve problems that are intractable on classical …

Advances in materials science and engineering have played a central role in the
development of classical computers and will undoubtedly be critical in propelling the …

Quantum computers have made extraordinary progress over the past decade, and
significant milestones have been achieved along the path of pursuing universal fault-tolerant …

Amorphous solids show surprisingly universal behaviour at low temperatures. The
prevailing wisdom is that this can be explained by the existence of two-state defects within …

We benchmark the decoherence of superconducting transmon qubits to examine the
temporal stability of energy relaxation, dephasing, and qubit transition frequency. By …

Current state-of-the-art superconducting microwave qubits are cooled to extremely low
temperatures to avoid sources of decoherence. Higher qubit operating temperatures would …

Superconducting qubit lifetimes must be both long and stable to provide an adequate
foundation for quantum computing. This stability is imperiled by two-level systems (TLSs) …

Reaching high-speed, high-fidelity qubit operations requires precise control over the shape
of the underlying pulses. For weakly anharmonic systems, such as superconducting …

Superconducting qubits are a leading candidate for quantum computing but display
temporal fluctuations in their energy relaxation times T 1. This introduces instabilities in multi …