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 ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Dive into the wild world where time might not exist, quantum computers reshape reality, and humanoid robots learn to make ...

A quantum processor just did in minutes what a supercomputer needs hours to grind through, and for the first time, the ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

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 ...

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, then ...

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 ...

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 ...