{"id":10934,"date":"2024-04-08T14:54:25","date_gmt":"2024-04-08T14:54:25","guid":{"rendered":"https:\/\/platform.qureca.com\/?post_type=tribe_events&p=10934"},"modified":"2024-04-08T14:54:28","modified_gmt":"2024-04-08T14:54:28","slug":"machine-learning-for-quantum-2021","status":"publish","type":"tribe_events","link":"https:\/\/www.qureca.com\/fr\/calendar\/machine-learning-for-quantum-2021\/","title":{"rendered":"Machine Learning for Quantum 2021"},"content":{"rendered":"

Machine Learning for Quantum 2021<\/strong> will take place March 1-5, 2021, with an aim to bring together quantum physicists and experts in computer science and machine learning.<\/p>\n

The last few years have seen a fast increase in the complexity of quantum technologies. In this context, recent ground-breaking experimental work has started to highlight the potential of advanced signal processing, such as machine learning and real-time adaptive techniques to speeding up, scaling up, and opening up new quantum technologies.<\/p>\n

The conference is centred around three key questions, which will be discussed over five days of tutorials, talks, and discussions:
\nQ1<\/strong>\u00a0\u2013 how can a quantum sensor optimally extract information about its environment?
\nQ2<\/strong>\u00a0\u2013 how can we achieve fully automatic calibration and operation of multi-qubit circuits?
\nQ3<\/strong>\u2013 how can machine learning improve the performance of quantum algorithms for quantum chemistry?<\/p>\n

This event is organised as a satellite Photonics Online Meetup (POM<\/a>). The conference, however, is\u00a0platform-agnostic,<\/em> and targets all quantum technology implementations.<\/p>\n

Interested individuals and parties can register to attend via this link<\/a>.<\/p>\n

A full program summary can be accessed via this link<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

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