In the strange world of quantum computing, randomness isn’t just noise. It’s a powerful resource. Whether you’re designing ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

Quantum machine learning (QML) is transitioning from research to practical business applications. Discover how QML is ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

Working in tandem, a quantum computer and a supercomputer modelled the behaviour of several molecules, paving the way for ...

While randomising a deck of cards gets more difficult as you add more cards, it turns out that the same isn't true for the ...

Yonatan Cohen, the co-founder and CTO of Quantum Machines, noted how his company has long sought to use general classical compute engines to control quantum processors.

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

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle ...

Quantum Machines’ technology is now used by more than half of all the companies in the world that are working on quantum computers and quantum computing, according to its CEO, Dr. Itamar Sivan ...

Quantum Machines Ltd., a startup that supplies equipment for quantum computer developers, has raised $170 million in fresh funding.Announced today, the Series C investment was led by PSG Equity wi ...