Predicting the behavior of many interacting quantum particles is a complicated process but is key to harness quantum computing for real-world applications. Researchers have developed a method for ...
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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 ...
Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...
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Particle permutation task can be tackled by quantum but not classical computers, study finds
Quantum computers, systems that process information leveraging quantum mechanical effects, are expected to outperform ...
Quantum computing has great potential , but its main unit, the qubit, is beset by inherent stability problems. However, this new study might change that.
Quantum computing is rapidly emerging and, as it progresses forward, promises to cross fields of industry—from health sciences to finance and many other fields. Its advent is transforming the face of ...
This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. CHICAGO — Think of a corn maze as a problem.
Quantum computing has entered a bit of an awkward period. There have been clear demonstrations that we can successfully run quantum algorithms, but the qubit counts ...
Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. At first glance, quantum computers seem like machines that only ...
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