Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …

Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …

Variational quantum algorithms, a popular heuristic for near-term quantum computers, utilize
parameterized quantum circuits which naturally express Lie groups. It has been postulated …

Quantum machine learning (QML) has been identified as one of the key fields that could
reap advantages from near-term quantum devices, next to optimization and quantum …

Current gate-based quantum computers have the potential to provide a computational
advantage if algorithms use quantum hardware efficiently. To make combinatorial …

The quantum approximate optimization algorithm (QAOA) has proved to be an effective
classical-quantum algorithm serving multiple purposes, from solving combinatorial …

Full configuration interaction (FCI) can provide an exact molecular ground-state energy
within a given basis set and serve as a benchmark for approximate methods in quantum …

Realizing the potential of near-term quantum computers to solve industry-relevant
constrained-optimization problems is a promising path to quantum advantage. In this work …

Hybrid quantum–classical algorithms are a promising candidate for develo** uses for
NISQ devices. In particular, parametrised quantum circuits (PQCs) paired with classical …

Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …