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 ...

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 ...

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 ...

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 ...

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

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 ...

Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials ...

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

Blinking dots Photoluminescence image of individual quantum dots used in the experiment. Under time-dependent driving, the ...