The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

A partnership between Microsoft and Atom Computing has leveraged high-performance computing to successfully process 24 logical qubits, or quantum bits, marking a milestone in the quest to bring ...

Quantum researchers from CSIRO, Australia's national science agency, have demonstrated the potential for quantum computing to ...

A study has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the 'reality gap': the difference between ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

The past decade has seen significant advances and investment in quantum computing, and yet the devices we have today essentially have no practical purpose. That is down to two main reasons – the first ...