QTML 2023: 7th International Conference on Quantum Techniques in Machine Learning CERN Geneva, Switzerland, November 19-24, 2023

Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum machine learning. The goal of the conference is to gather leading academic researchers and industry players to interact through a series of scientific talks focused on the interplay between machine learning and quantum physics. 

QTML was first hosted in Verona, Italy (2017), then in Durban, South Africa (2018) and Daejeon, South Korea (2019). The 2020 and 2021 editions were held online, hosted by Zapata Computing and by Riken, respectively. QTML 2022 was held in person in Naples (Italy). This seventh edition, QTML 2023, wil be hosted by CERN, Switzerland.

Submission Guidelines

Papers in the following categories are welcome:

• Extended abstracts describing original results or summarizing already published works. Manuscripts must be submitted in PDF format, single column, single-space 11-point fonts, and maximum length of 3 pages (excluding references). Accepted abstracts will be presented at the conference as long talk (25' + 5' Q&A) or short talk (12' +3' Q&A).
• Posters 1-page abstract describing the work to be exhibited as a poster in PDF format, single column, single-space 11-point fonts.

List of Topics

Contributions are welcome in all reasearch areas covering the application of quantum techniques for machine learning and optimization tasks as well as the use of machine learning algorithms for studying quantum systems. Topics include but are not limited to

• Quantum algorithms for machine learning
• Machine learning for quantum physics
• Quantum learning theory
• Quantum variational circuits
• Data encoding and processing in quantum systems
• Learning and optimization with hybrid quantum-classical methods
• Tensor methods and quantum-inspired machine learning
• Quantum machine learning for chemistry, biology, finance, cybersecurity
• Machine learning for experimental quantum information
• Machine Learning in quantum chemistry
• Quantum state reconstruction
• Quantum optimization
• Quantum evolutionary algorithms
• Fuzzy logic for quantum machine learning
• ...

Committees

Steering Committee

• Alessandra Di Pierro   (Università di Verona, Italy)
• Francesco Petruccione   (Stellenbosch University, South Africa) 
• June-Koo Kevin Rhee   (KAIST, South Korea)
• Minh Ha Quang   (RIKEN, Japan)
• Jonathan Olson   (Zapata, Boston)
• Giovanni Acampora   (Università di Napoli, Italy)

Program Committee

• Program Co-Chair: Alessandra Di Pierro   (Università di Verona)
• Program Co-Chair: Zoë Holmes    (EPFL) 
• Nana Liu   (Shanghai Jiao Tong University)
• Alba Cervera Lierta   (Barcelona Supercomputing Center)
• Gitta Kutyniok   (Ludwig-Maximilians-Universität München)
• Martin Larocca   (Los Alamos National Laboratoty)
• Christa Zoufal   (IBM)
• Mark Wilde   (Cornell University, NY)
• Michele Grossi   (CERN)
• Sofia Vallecorsa   (CERN)
• Stefano Carrazza (CERN)
• Francesco Tacchino   (IBM)
• Michael Lubasch   (Quantinuum)
• Kunal Sharma   (IBM) 
• Kristan Temme   (IBM) 
• Samson Wang   (Imperial College London, UK)
• Supanut Thanasilp   (EPFL)
• Sofiene Jerbi   (FU Berlin)
• Gian Giacomo Guerreschi   (Intel)
• Dominik Hangleiter   (University of Maryland)
• Cristina Cirstoiu   (Quantinuum)
• Filippo Vicentini   (Ecole Polytechnique Paris)
• Amira Abbas   (KwaZulu-Natal)
• Eric Anschuetz   (Massachusetts Institute of Technology)
• Alexey Melnikov   (Terra Quantum) (tbc)
• Minh Ha Quang   (RIKEN Center for Advanced Intelligence Project)
• Franco Nori   (RIKEN Theoretical Quantum Physics Laboratory)
• Mario Krenn   (Max Planck Institute for the Science of Light)
• Davide Venturelli   (NASA-USRA)
• Patrick Rebentrost   (National University of Singapore)
• Jacob Biamonte
• Chiara Macchiavello (Università di Pavia, Italy)
• Elias Combarro   (University Oviedo)
• John Calsamiglia   (Universitat Autonoma de Barcelona)
• Hachem Kadri   (Aix-Marseille Université)
• Jean-Roch Vlimant   (Caltech)

Organizing committee

• Alberto Di Meglio
• Michele Grossi
• Sofia Vallecorsa
• Anastasiia Lazuka
• Kristina Gunne 
• Stefano Carrazza

Invited Speakers

• TBA

Contact

For any questions please send email to QTML-conference@cern.ch