The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

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 …

Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

Variational quantum algorithms (VQAs) offer a promising path toward using near-term
quantum hardware for applications in academic and industrial research. These algorithms …

ADAPT-VQE is a robust algorithm for hybrid quantum-classical simulations of quantum
chemical systems on near-term quantum computers. While its iterative process …

The phase diagram of strong interactions in nature at finite temperature and chemical
potential remains largely theoretically unexplored due to inadequacy of Monte-Carlo–based …

Quantum computing is emerging as a new computational paradigm with the potential to
transform several research fields including quantum chemistry. However, current hardware …

Transcorrelated methods provide an efficient way of partially transferring the description of
electronic correlations from the ground-state wave function directly into the underlying …

We present several improvements to the recently developed ground-state preparation
algorithm based on the quantum eigenvalue transformation for unitary matrices (QETU) …

Quantum many-body scar states are highly excited eigenstates of many-body systems that
exhibit atypical entanglement and correlation properties relative to typical eigenstates at the …