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Shaping future quantum techniques in machine learning at CERN

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 Novem...
Miguel Marquina Michele Grossi University Of Melbourne International Conference On Quantum Techniques In Machine University Of Oxford Quantum Institute
Source: home.cern

Preparing for a quantum leap: researchers chart future for use of 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 onย 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 Coll...
Karl Jansen Ivano Tavernelli Quantum Technology Initiative Quantum Network Large Hadron Collider Alberto Di Meglio
Source: home.cern

CERN to host international conference on quantum techniques in machine learning

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.
South Korea Taejon Gwangyoksi Kwazulu Natal South Africa Alessandra Di Pierro University Of Verona Quantum Techniques

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