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Tech Xplore on MSNLuna v1.0 & FlexQAOA bring constraint-aware quantum optimization to real-world problemsAqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...
Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...
5mon
Tech Xplore on MSNSpecialized hardware solves high-order optimization problems with in-memory computingA paper describing their work, "Computing High-degree Polynomial Gradients in Memory," appears in the journal Nature ...
It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.
More information: Xiaomeng Sui et al, Non-convex optimization for inverse problem solving in computer-generated holography, Light: Science & Applications (2024). DOI: 10.1038/s41377-024-01446-w.
According to Battacharya, much of the currently proposed, state-of-the-art hardware for solving these kinds of issues are limited to second-order problems. The main benefit of their hardware, he noted ...
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