The development of quantum computing across several technologies and platforms has
reached the point of having an advantage over classical computers for an artificial problem …

Simulating quantum many-body systems is a key application for emerging quantum
processors. While analog quantum simulation has already demonstrated quantum …

Quantum circuits—built from local unitary gates and local measurements—are a new
playground for quantum many-body physics and a tractable setting to explore universal …

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 …

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 …

The Jaynes–Cummings Model (JCM) has recently been receiving increased attention as
one of the simplest, yet intricately nonlinear, models of quantum physics. Emphasising the …

Hybrid classical–quantum algorithms aim to variationally solve optimization problems using
a feedback loop between a classical computer and a quantum co-processor, while …

Simulating the properties of many-body fermionic systems is an outstanding computational
challenge relevant to material science, quantum chemistry, and particle physics.-5.4 pc] …

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 …

Quantum computers can be used to address electronic-structure problems and problems in
materials science and condensed matter physics that can be formulated as interacting …