The workshop will be held for three days
from 10am to 3pm CEST for each day

This workshop aims to provide an overview of machine learning (ML) and quantum computing (QC) techniques, in particular, to solve condensed matter physics problems. The workshop will also give the participants a hands-on experience of some useful ML+QC packages.

 

In recent years, classical ML techniques have been applied to analyze vast datasets, uncover hidden patterns, and predict material properties with unprecedented accuracy. Concurrently, the advent of QC promises to revolutionize the field by harnessing the computational power of quantum computers to tackle complex quantum many-body problems.

 

In this workshop, we will listen to some presentations from leading researchers and young researchers who have been exploring classical ML, quantum ML, and other quantum-related research, which could be beneficial for the development of condensed matter physics. During the workshop, participants will also be equipped with hands-on sessions for learning cutting-edge tools of quantum ML.
 

 

Topics:

Speakers: 
Contributed talk: Applicants who want to give a contributed talk are asked to submit an abstract. Please use the ICTP templates that are available below for download.

Registration: There is no registration fee.