We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze
which are used to variationally solve the electronic structure problem on quantum …

Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …

We present a new hybrid quantum-classical algorithm for optimizing unitary coupled-cluster
(UCC) wave functions deemed the projective quantum eigensolver (PQE), amenable to near …

Over the last few decades, quantum machine learning has emerged as a groundbreaking
discipline. Harnessing the peculiarities of quantum computation for machine learning tasks …

We propose a computational protocol for quantum simulations of fermionic Hamiltonians on
a quantum computer, enabling calculations on spin defect systems which were previously …

Variational quantum eigensolvers (VQEs) show promise for tackling complex quantum
chemistry challenges and realizing quantum advantages. However, in VQE, the …

TenCirChem is an open-source Python library for simulating variational quantum algorithms
for quantum computational chemistry. TenCirChem shows high-performance in the …

We consider the question of how correlated the system hardness is between classical
algorithms of electronic structure theory in ground state estimation and quantum algorithms …

The variational quantum eigensolver (VQE) is a promising algorithm for demonstrating
quantum advantage in the noisy intermediate-scale quantum (NISQ) era. However …

A major difficulty in quantum simulation is the adequate treatment of a large collection of
entangled particles, synonymous with electron correlation in electronic structure theory, with …