Quantum machine learning (QML) combines quantum computing's power with ML's predictive capabilities to overcome classical algorithms' limitations.

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

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).

This report identifies Quantum Machine Learning opportunities and applications already beginning to appear and those that we believe will emerge in the future. It also discusses how QML technology ...

QML has the potential to generate important advancements in the area: with the improvement of GPUs and computational power, machine learning models have been successfully used to approximate the ...

Cybercom arranges a joined student forum, Cybercom Session: Qt Quick -Learning QML in one day, in ICT building in Turku 16.11.2011 .

Quantum Machine Learning aims to optimize classical machine learning approaches by utilizing quantum informatics. The core objective of the study is to identify the threats and potential of QML at ...