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 ...

Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to ...

DOE Randomized Algorithms for Combinatorial Scientific ComputingPlease see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & ...

The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization algorithm based on quantum computers, designed to tackle complex combinatorial optimization problems.

The emphasis is on the derivation of combinatorial results, including min-max relations, as well as on the corresponding algorithmic questions of how to find such objects. The intended audience ...

Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most difficult optimization problems. The team designed a system that processes ...

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 ...

Research Interests My areas of research are compilers, combinatorial optimization algorithms and parallel algorithms. More specifically, my research focuses on developing exact or precise algorithms ...

Wayne S. Desarbo, Douglas Grisaffe, Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation ...