When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

Also essentially still embryonic, quantum AI is an approach involving running machine learning algorithms on existing quantum hardware to run tasks in hours (instead of weeks) and/or work on rendering ...

During SAS Innovate 2026 in Dallas, principal quantum systems architect Bill Wisotsky tells ARTHUR GOLDSTUCK what will take ...

In an era when cyberattacks evolve at machine speed, this convergence delivers far more than incremental improvements.