A device made from superconducting qubits could prove a powerful technology for enabling practical quantum computing or more ...

Nature – Quantum Machine Learning Fueled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Quantum systems ...

Scientists have presented a thorough review on quantum machine learning, its current status and future prospects. The reports contrasts machine learning using classical and quantum resources ...

Quantum machine learning stands at the forefront of AI research and application, promising to address some of the most challenging problems across various industries.

IBM has come up with a way to use quantum computers to improve machine learning algorithms, even though we don’t have anything approaching a quantum computer yet.

Scientists in Australia have developed a quantum machine learning technique — a blend of artificial intelligence (AI) and quantum computing principles — that could change how microchips are made.

Quantum machine learning is an exciting and rapidly growing field.

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 ...

D-Wave's Murray Thom shared his company's quantum computing applications: about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.

It wasn’t entirely clear if quantum computers could improve machine learning in practice, but new experiments and theoretical proofs show that it can.