MicroAlgo Inc. announced its research on the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to address complex combinatorial optimization problems using quantum computing.
Additionally, the algorithm can be applied in areas such as quantum simulation and quantum optimization, offering new technological tools and solutions for research and development in these domains.
TORONTO, June 18, 2025 (GLOBE NEWSWIRE) — OTI Lumionics, a leader in advanced quantum simulations and solutions for next-generation materials discovery, announces the publication of its scientific ...
Dani Gluck, PhD is Senior Algorithmics Researcher for LightSolver, conducting algorithm development and related mathematical and theoretical-physical research for the company’s proprietary Laser ...
Uptick in end users, independent software vendors, system integrators and resellers implementing company’s quantum optimization technology to address complex challenges New hybrid quantum solver ...
The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...
ZuriQ, a Swiss startup founded in 2024, is making waves with its unique approach to trapped-ion quantum computing. They’ve ...
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