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Research paper by Bjørnar Luteberget and Giorgio Sartor wins 2024 FICO® Xpress Best Paper Award; the algorithm is now in FICO® Xpress Solver “When solving a very large computational problem, ...
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Luna v1.0 & FlexQAOA bring constraint-aware quantum optimization to real-world problems
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
Microsoft Research has developed an analog optical computer (AOC) that uses light to solve complex problems.
A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.
A new proof reveals the answer to the decades-old “moving sofa” problem. It highlights how even the simplest optimization problems can have counterintuitive answers. If you’ve ever moved into a new ...
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