Applications such as simulating complicated quantum systems or solving large-scale linear
algebra problems are very challenging for classical computers, owing to the extremely high …

It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the
US decadal particle-physics community planning, and in fact until recently, this was not …

Variational quantum algorithms (VQAs) optimize the parameters θ of a parametrized
quantum circuit V (θ) to minimize a cost function C. While VQAs may enable practical …

Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

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 …

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

The current generation of noisy intermediate-scale quantum computers introduces new
opportunities to study quantum many-body systems. In this paper, we show that quantum …

Achieving near-term quantum advantage will require accurate estimation of quantum
observables despite significant hardware noise. For this purpose, we propose a novel …

Scaling of variational quantum algorithms to large problem sizes requires efficient
optimization of random parameterized quantum circuits. For such circuits with uncorrelated …

Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important
application of near-term quantum computers. The variational quantum eigensolver (VQE) …