Key static and dynamic properties of matter—from creation in the Big Bang to evolution into
subatomic and astrophysical environments—arise from the underlying fundamental …

The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited
state energy of quantum many-body systems. A key component of the algorithm and an …

The nuclear shell model is one of the prime many-body methods to study the structure of
atomic nuclei, but it is hampered by an exponential scaling on the basis size as the number …

Jets provide one of the primary probes of the quark-gluon plasma produced in
ultrarelativistic heavy ion collisions and the cold nuclear matter explored in deep inelastic …

The traveling salesman problem (TSP) is one of the most often-used NP-hard problems in
computer science to study the effectiveness of computing models and hardware platforms. In …

Energy spectroscopy is a powerful tool with diverse applications across various disciplines.
Variational quantum-classical algorithms based on programmable digital quantum …

We investigate the gravitational form factors of a strongly coupled scalar theory that mimic
the interaction between the nucleon and the pion. The nonperturbative calculation is based …

Numerical simulation is an important method for verifying the quantum circuits used to
simulate low-energy nuclear states. However, real-world applications of quantum computing …

A bstract In this study, we explore the real-time dynamics of the chiral magnetic effect (CME)
at a finite temperature in the (1+ 1)-dimensional QED, the massive Schwinger model. By …

This article is a brief introduction to quantum algorithms for the eigenvalue problem in
quantum many-body systems. Rather than a broad survey of topics, we focus on providing a …