The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

The quantum tangent kernel method is a mathematical approach used to understand how fast and how well quantum neural networks can learn. A quantum neural network is a machine learning model that runs ...

ALBUQUERQUE, N.M. (KRQE) –Government and tech leaders are investing big into making New Mexico the hub for quantum computing. Now, Central New Mexico Community College (CNM) is trying to bolster ...

Your phone finishes your sentences, your camera detects faces and your streaming app suggests songs you never thought you would want, thanks to classical AI systems. These are powerful logic engines: ...

Quantum computers have the potential to model new molecules and weather patterns better than any computer today. They may ...

The latest update is out from Archer Materials ( (AU:AXE) ).

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group ...

The MarketWatch News Department was not involved in the creation of this content. SHENZHEN, China, June 10, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), ...

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...