This architecture employs conventional semiconductor technology with flexible circuit configurations to allow it to handle a broader range of problems than current quantum computing can manage. In ...
The Sargent Centre Optimisation Courses are highly suitable for those in Industry and also individuals seeking to advance their knowledge in optimisation. The courses tackle concepts in problems ...
which are documented in the conference proceedings titled On the Computational Performance of IBM Quantum Devices Applied to Combinatorial Optimisation Problems and the preprint titled An ...
CAMBRIDGE, England, July 22, 2021 /CNW/ -- In a development that is likely to set a new industry standard, scientists at Cambridge Quantum (CQ) have developed a new algorithm for solving combinatorial ...
Abstract: Evolutionary Algorithms (EAs) are one of the most popular strategies for solving optimisation problems. To define a configuration of an EA several components and parameters must be specified ...
Abstract: In this paper the fitness landscape of a simulation optimisation problem is analysed within the metaheuristic optimisation framework Heuristic Lab. Computational experiments are performed ...
Optimisation problems extension for Numbas This extension provides functions to work with linear programs and other optimisation problems.
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