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

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 ...

What Makes Quantum Machine Learning Different QML isn’t just about running existing AI models on faster hardware. It’s about reimagining how learning itself happens.

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 ...

An international team of scientists presents a thorough review on quantum machine learning, its current status and future prospects. The reports contrasts machine learning using classical and ...

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.

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of boson sampling for image identification, which is critical in a variety ...

Army-funded researchers demonstrated a machine learning approach that corrects quantum information in systems composed of photons, improving the outlook for deploying quantum sensing and quantum ...