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

A search problem refers to the task of finding a solution within some space of possible options, and that space could be made up of discrete steps or continuously varying values. For example, solving ...

MicroAlgo (MLGO) announced the development of an innovative hybrid algorithm that combines classical and quantum computing to optimize Multi-Query Optimization problems. “MicroAlgo’s hybrid algorithm ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

Dr. Andrés Gómez, Applications & Projects Dept. Manager, lead his team focussed on application support to CESGA’s supercomputing users and the promotion and management of R&D&I projects. This two-week ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

Many physicists and engineers have recently been trying to demonstrate the potential of quantum computers for tackling some ...

Can quantum become even bigger than AI? And will it help soften the AI bubble as it seems set to burst? Experts share their views.