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 ...

SHENZHEN, May 27, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Explores Optimization of Quantum Error Correction Algorithms to Enhance Quantum Algorithm Accuracy Shenzhen ...

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 ...

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 ...

Collaboration delivered a successful solution for the most complex known protein folding problem ever executed on a quantum computer Kipu Quantum, a leader in application and hardware-specific quantum ...

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

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

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 ...