Trapped ions are among the most promising systems for practical quantum computing (QC).
The basic requirements for universal QC have all been demonstrated with ions, and …

In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

Midcircuit operations, such as qubit state measurement or reset, are central to many tasks in
quantum information science, including quantum computing, entanglement generation, and …

Most quantum computers use binary encoding to store information in qubits—the quantum
analogue of classical bits. Yet, the underlying physical hardware consists of information …

Quantum information processing is steadily progressing from a purely academic discipline
towards applications throughout science and industry. Transitioning from lab-based, proof-of …

Lattice gauge theories, which originated from particle physics in the context of Quantum
Chromodynamics (QCD), provide an important intellectual stimulus to further develop …

Quantum-classical hybrid algorithms are emerging as promising candidates for near-term
practical applications of quantum information processors in a wide variety of fields ranging …

Encoding information redundantly using quantum error-correcting (QEC) codes allows one
to overcome the inherent sensitivity to noise in quantum computers to ultimately achieve …

The variational quantum eigensolver (VQE) algorithm combines the ability of quantum
computers to efficiently compute expectation values with a classical optimization routine in …

Practical and useful quantum information processing requires substantial improvements with
respect to current systems, both in the error rates of basic operations and in scale. The …