16:00 - 18:00, June 14, 2023
IN PERSON at Leibniz Rechenzentrum, Boltzmannstraße 1, 85748 Garching b. München
& ONLINE, (send an email to for link)

The June session of BQCX will take place in a hybrid format. The participants have the possibility to attend in person at Leibniz Supercomputing Centre, Garching, Boltzmannstr. 1 in Konferenzraum V.2.001 on the second level.


For receiving online participation in the June session the access to the Zoom link will be provided by contacting the E-Mail address to

This Month Talks

Machine learning for accelerating quantum computing
A basic challenge in quantum computing is to tune and characterise qubits on an ever-expanding scale. We have developed machine learning methods for quantum technologies, which are able to learn how to do this more efficiently than even experienced humans. This requires moving beyond methods which demand large amounts of readily available data, because in quantum technologies the data are often sparse and costly to acquire. The machine learning is required not simply to classify the measurements which have been taken but to decide what parameters to set next.

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Leibniz Supercomputing Centre
of the Bavarian Academy of Sciences and Humanities

Boltzmannstraße 1
85748 Garching near Munich

Phone: +49(0)89 - 35831 8000