Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

Using the Honeywell System Model H1 quantum computer, the new approach managed to outperform current “gold standard” algorithms like the Quantum Approximate Optimization Algorithm (QAOA) and ...

"A novel solution to a combinatorial optimization problem in bicycle sharing systems." ScienceDaily. ScienceDaily, 27 October 2021. <www.sciencedaily.com / releases / 2021 / 10 / 211027122102.htm>.

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). The ...

Rigetti was selected by the Defense Advanced Research Projects Agency (DARPA) to advance the state-of-the-art in quantum algorithms for solving combinatorial optimization problems as part of the ...

Modeling and Solving Combinatorial Optimization Problems Using the QUBO Model A surprising development of the last few years has been the emergence of a model, called QUBO (for Quadratic Unconstrained ...

This is the second in a series of three papers that empirically examine the competitiveness of simulated annealing in certain well-studied domains of combinatorial optimization. Simulated annealing is ...