The finding offers a glimpse into a faster, greener era within the relatively new research field of Quantum Machine Learning, ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine ...

But there was still a problem. These machine learning models were still fundamentally classical, meaning that it’s impossible for them to process truly quantum data and output quantum states. To get ...

University of Waterloo students have teamed up with Google to develop software to accelerate machine learning using quantum science. The collaborative effort resulted in the creation of an open-source ...

Arguing about which programming ... machine learning applications, the training and operational (or inference) phases for algorithms are distinct. So, one approach taken by some people is to use ...

Quantum computers differ fundamentally from classical ones. Instead of using bits (0s and 1s ... They published their new study in the journal Machine Learning: Science and Technology on December ...

Jan. 24, 2025 — Various methods are used to correct errors in quantum computers. Not all operations can be implemented equally well with different correction codes. Therefore, a research team ...