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

By isolating the quantum contribution in the classification process, the team was able to pinpoint specific scenarios where ...

By combining a new way of modeling quantum systems with increasingly sophisticated machine learning algorithms, researchers have established a method for classical machines to model and predict ...

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

Compared to classical algorithms, quantum machine learning demonstrates significant advantages in feature extraction, model training, and predictive inference. It is particularly well-suited for ...

According to Peter Chapman, much of today's QML is created by converting classical machine learning algorithms into quantum algorithms. QML is not without challenges. It has many of the same ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...