CERN is set to host the 7th edition of the annual international Quantum Techniques in Machine Learning (QTML) conference from 19 to 24 November 2023. The conference, which aims to bring together leading academic researchers and industry players to discuss the interplay between machine learning and quantum physics, will include a series of scientific talks, including key-note and invited speakers, as well as tutorials. The event will cover topics related to the application of quantum techniques in machine-learning tasks and the use of machine-learning algorithms for studying quantum systems.
Previous editions of QTML were held in Verona, Italy (2017), Durban, South Africa (2018), Daejeon, South Korea (2019), and Naples (Italy), with online versions in 2020 and 2021, hosted by Zapata Computing and Riken, respectively.
This year’s event will be held at CERN, Switzerland, and will be followed by a workshop on quantum software on Saturday, 25 November, organized by Alessandra Di Pierro from the University of Verona and Carsten Blank from Data Cybernetics ssc GmbH.
The research areas covered during the conference include, but are not limited to, quantum machine learning, quantum algorithms for optimization, quantum simulation, quantum cryptography, quantum sensors, and quantum-enhanced reinforcement learning.
The aim of the conference is to provide a platform for experts from various fields to discuss advancements in quantum machine learning and the practical utilization of quantum computing. Academic researchers, industry professionals, students, and enthusiasts are encouraged to attend.
Registration for the event is set to open shortly. Updates and more details regarding the conference can be found on the event’s website: https://qtml-2023.web.cern.ch/.
