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Natalia Ares from the University of Oxford presents machine learning for tackling quantum device variability at the 7th International Conference on Quantum Techniques in Machine Learning, held at CERN in November. More than 300 people attended in person, with more following online. (Image: CERN) Problem solving gets faster if quantum methodologies are used instead of classical computers. Physicists and computer scientists are therefore working closely together to explore this potential. In November, the 7th International Conference on Quantum Techniques in Machine Learning (QTML) was held at C...

In their white paper, researchers from CERN, DESY, IBM Quantum and more than 30 other organisations plotted a course for quantum computing in particle physics.

Last week, researchers published an important white paper identifying activities in particle physics where burgeoning quantum-computing technologies could be applied. The paper, authored by experts from CERN, DESY, IBM Quantum and over 30 other organisations, is now available on ArXiv. With quantum-computing technologies rapidly improving, the paper sets out where they could be applied within particle physics in order to help tackle computing challenges related not only to the Large Hadron Collider’s ambitious upgrade programme, but also to other colliders and low-energy experiments worldwi...

The 7th edition of the annual international Quantum Techniques in Machine Learning (QTML) conference will take place from 19 to 24 November 2023 at CERN. The goal of the conference is to gather leading academic researchers and industry players to interact through a series of scientific talks focused on the interplay between machine learning and quantum physics.