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.

Rice quantum computing researchers have introduced a novel algorithm that earned the team a place in the global XPRIZE Quantum Applications competition.

Collaboration delivered a successful solution for the most complex known protein folding problem ever executed on a quantum computer KARLSRUHE, Germany & COLLEGE PARK, Md., June 19, 2025--(BUSINESS ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a brand-new FPGA-based quantum computing simulation framework founded on a serial-parallel ...

"While about 95% of Korean ventures aim for a KOSDAQ listing, 70-80% of Israeli ventures target the U.S. NASDAQ. This creates ...

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 ...

We can quibble over the exact timeline, but the quantum future is an approaching certainty, argues Arpa Network CEO Felix Xu.