Combinatorial optimization is anticipated to be one of the primary use cases for quantum
computation in the coming years. The Quantum Approximate Optimization Algorithm and …

Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …

Quantum annealing emerges as a promising approach for tackling complex scheduling
problems such as the resource-constrained project scheduling problem (RCPSP). This study …

With the rise of quantum computing, many quantum devices have been developed and
many more devices are being developed as we speak. This begs the question of which …

The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks for assessing the performance of quantum computing hardware …

With the support of the national program on measurements, standards, and evaluation of
quantum technologies MetriQs-France, a part of the French national quantum strategy, the …

Quantum annealing emerges as a viable solution for solving complex problems such as the
resource-constrained project scheduling problem (RCPSP). We analyze 12 Mixed Integer …

Evaluating the performance of quantum devices is an important step towards scaling
quantum devices and eventually using them in practice. The great number of available …

Abstract Model‐based acoustic localisation estimates the locations of underwater objects by
comparing sensor measurements with model predictions. To obtain high quality predictions …

The Quantum approximate optimization algorithm (QAOA) is a leading hybrid classical-
quantum algorithm for solving complex combinatorial optimization problems. QAOA-in …