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 ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Quantum Machine Learning is an interdisciplinary field that harnesses the computational power of quantum systems to develop algorithms that can process and analyze data more efficiently than classical ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

La Trobe University will lead a major national project aimed at optimising energy use and emissions of Australia's data centres using next‑generation ...

Motivation: Our goal is to establish a local infrastructure and a group of colleagues and graduate students focusing on research in the Quantum-NLP and ML domain. We aim at preparing and running ...

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 ...

Telefonica teamed with Fundacion Vithas and Francisco de Vitoria University on a project to use quantum to aid creation of cancer drugs.

Telefónica, Fundación Vithas, and UFV have launched a pioneering project that uses quantum computing for the design of cancer ...

For centuries, scientists have been on a thrilling quest to understand the universe's building blocks. At CERN, the European Organization for Nuclear Research, the Large Hadron Collider (LHC) smashes ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...