MLQ2021 is an online conference that aims to bring together quantum physicists with computer scientists and engineers, to address how machine learning, adaptive estimation and advanced signal processing can help address the current challenges in quantum technology. Quite uniquely, the conference focuses on three specific questions, outlined in the attached flyer. We will have tutorials and contributions by both physicists and machine learning experts.
Please find more information on our website: mlq2021
The deadline for abstract submission is 30/11/2020. The conference is free for both attendees and presenters.
Cristian Bonato (Heriot-Watt University, Edinburgh – UK)
Raffaele Santagati (Boehringer Ingelheim, Vienna – Austria)
Natalia Ares (University of Oxford, Oxford – UK)
Srinivasan Arunachalam (IBM Research, Yorktown Heights – USA)
Fedor Jelezko (Ulm University, Ulm – Germany)
Nathan Wiebe (University of Toronto, Toronto – Canada)