Second 'Machine Learning for Quantum Technologies' workshop attracts international scientists
In November, the second workshop of ‘Machine Learning for Quantum Technologies’ took place at the MPL in Erlangen, as a follow-up to the first event in 2019. Among the guests and speakers were numerous leading international experts who have dedicated themselves to the topic of machine learning and artificial intelligence in the broader context of quantum technology. This event is supported by the Munich Quantum Valley initiative which aims to build quantum computers and promote quantum science and quantum technologies in Bavaria.
© Elisabeth Offial, MPL
Over three and a half intensive days, 110 participants from 16 countries discussed and exchanged ideas on the current state of research, including analysis options for quantum measurements, the estimation of parameters of quantum devices, the discovery of new quantum experimental setups, protocols, and feedback strategies, as well as general aspects serving to improve quantum computing, quantum communication, and quantum simulation.
The program began with three lectures on day one on various machine learning techniques for quantum technologies, followed by three days of scientific tutorials by a total of 18 invited speakers and 13 contributing speakers.
In the evening poster session, participants were able to learn about scientific research results and methods from 44 posters. Two poster awards were given, one to Brandon Barton (ETH Zurich) on "Lottery ticket neural-network quantum states" and the other to Florian Fürrutter (University of Innsbruck) on "Quantum circuit synthesis with diffusion models".
Contact
Edda Fischer
Head of Communication and Marketing
Phone: +49 (0)9131 7133 805
MPLpresse@mpl.mpg.de
