Dear colleagues,

we would like to bring to your attention the Symposium 'Machine learning for many-body quantum physics' (B6) that will take place on August 23 during the Psi-k 2022 conference in Lausanne, August 22-25 (https://www.psik2022.net/program/symposia).

The (confirmed) invited speakers are: Giuseppe Carleo, Heather Kulik, Patrick Rinke.

We welcome abstracts regarding your recent progress in theoretical/computational research activities concerning "machine learning for quantum many-body physics" and/or "quantum physics for machine learning". One or two contributed talks may be promoted to invited, based on the received abstracts. 

Note that the deadline for submission of abstracts is imminent: next 31 May.

Hoping to see you in Lausanne, we wish you all the best.

Giovanni Onida, Davide Galli, Enrico Prati, Kristian Thygesen