4 citations · 5 across the 4 of their papers we have counts for
3 papers · 1 filter
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Charles Moussa, Hao Wang, Thomas Bäck +1
As combinatorial optimization is one of the main quantum computing applications, many methods based on parameterized quantum circuits are being developed. In general, a set of para…
Tabu-driven Quantum Neighborhood Samplers
Charles Moussa, Hao Wang, Henri Calandra +2
Combinatorial optimization is an important application targeted by quantum computing. However, near-term hardware constraints make quantum algorithms unlikely to be competitive whe…
Quantum-assisted finite-element design optimization
Dyon van Vreumingen, Florian Neukart, David Von Dollen +4
Quantum annealing devices such as the ones produced by D-Wave systems are typically used for solving optimization and sampling tasks, and in both academia and industry the characte…