MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.

What advancements can be made to quantum computers that will allow them to surpass traditional computers in performing difficult tasks like problem-solving? This is what a five-year, $5 million grant ...

Arxiv – A survey of applications and end-to-end complexities. (337 pages. Oct 2023) by Researchers at AWS Center for Quantum Computing, Institute for Quantum Information, RWTH Aachen University ...

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 ...

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 ...

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 ...

Updated workflow connects high-level modeling and NVIDIA CUDA-Q execution to shorten iteration cycles in hybrid HPC and quantum environments -- Productivity -- An accelerated end-to-end path from high ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. (MLGO) Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand ...

Shenzhen, May. 27, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced efforts to improve the accuracy and reliability of quantum ...

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 ...