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.

Approaches to quantum-enhanced machine learning Quantum search In the mid-1990s, computer scientist Lov Grover showed that a future quantum computer can search an unsorted database – such as telephone ...

Quantum machine learning is definitely aimed at revolutionizing the field of computer sciences, not only because it will be able to control quantum computers, speed up the information processing ...

Quantum machine learning (QML) combines the principles of quantum computing with machine learning. Unlike classical computers, which use bits to process information, quantum computers utilize ...

Quantum machine learning is definitely aimed at revolutionizing the field of computer sciences, not only because it will be able to control quantum computers, speed up the information processing ...

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

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.

But for machine learning it’s essential for what you need to do. It’s very hard to reproduce that with a classical computer and you get it natively from the quantum computer.

TensorFlow Quantum is an add-on to Google’s popular TensorFlow toolkit, which has helped give machine learning a big boost since its launch in 2015. What does it do?

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