MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...
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 ...
A novel combinatorial optimization algorithm sets a new quantum computing standard at the heart of the modern economy In a development that is likely to set a new industry standard, scientists at ...
We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
SHENZHEN, China, April 24, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo"), announced today the development of an innovative technology, the Classical Boosted Quantum ...
Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. At first glance, quantum computers seem like machines that only will ...
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