Big Blue's quantum team has mathematically demonstrated that a quantum algorithm could work better than a classical one for machine-learning classification problems. Written by Daphne Leprince ...

shenzhen, May 16, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 16, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a novel quantum ...

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

This is also the case with quantum classification, quantum cryptography, quantum simulated annealing and quantum k-nearest neighbor (KNN). In quantum algorithms, quantum methods, languages and ...

QML combines the power of quantum computing with the predictive capabilities of ML to overcome the limitations of classical algorithms and offer improvements in performance. In their paper “On ...

More information: Vu Tuan Hai et al, Multi-target quantum compilation algorithm, Machine Learning: Science and Technology (2024). DOI: 10.1088/2632-2153/ad9705. Provided by Tohoku University.

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

HEFEI ― In a significant stride toward practical quantum computing, a Chinese startup has successfully deployed its superconducting quantum processor to improve the accuracy of breast cancer ...

Getting ahead of quantum-powered hacks When it comes to securing existing assets, there are two options. The first is to re-encrypt data with the new quantum-resistant algorithms.

Additionally, MicroAlgo's quantum machine learning algorithms offer strong scalability and flexibility, making them adaptable to datasets of varying sizes and types as well as diverse machine learning ...