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 ...

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 ...

May 31, 2022 — Combinatorial optimization problems are at the root of many industrial processes and solving them is key to a more sustainable and efficient future. Ising machines can solve ...

In a new development that is most likely to establish a new industry standard, scientists at Cambridge Quantum (CQ) have created a new algorithm for solving combinatorial optimization problems ...

Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems ...

Received Ph.D. from University of London in 2011. His research interests include design and analysis of combinatorial optimization algorithms, efficient implementations, computational experiments and ...

G. Gutin and A.P. Punnen (editors) Variations of the Traveling salesman problem, Special issue of Discrete Optimization Elsevier 2005. A.P. Punnen and P. Sharma (editors) Combinatorial Optimization, ...