Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Because useful quantum machine learning is still many years away, QC Ware's new products are definitely a positive contribution to not only QML, but quantum computing in general.

In summary, the emerging discipline of quantum-enhanced machine learning has to be relocated from the playgrounds of quantum computing and must become a truly interdisciplinary project. This requires ...

Quantum machine learning is an exciting, rapidly growing field.

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 ...

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 ...

Qiskit Machine Learning is designed to add a touch of quantum computing to machine-learning models, even with little knowledge of particle physics.

The resulting machine learning depends on the efficiency and quality of this process. Using a quantum computer, it should be possible to perform this on a scale that was hitherto impossible.

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.

Many machine learning algorithms on quantum computers suffer from the dreaded 'barren plateau' of unsolvability, where they run into dead ends on optimization problems.