QML@ECMLPKDD'22: ECMLPKDD Workshop on Quantum Machine Learning Grenoble, France, September 19, 2022 |
Conference website | https://quantml.lis-lab.fr/QMLatECMLPKDD/ |
Submission link | https://easychair.org/conferences/?conf=qmlecmlpkdd22 |
Submission deadline | June 30, 2022 |
Quantum Machine Learning (QML) is an emerging field of research, with fast growth. This research field is largely driven by the desire to develop artificial intelligence that uses quantum technologies to improve the speed and performance of learning algorithms. Strong interdisciplinary collaborations are needed to face the challenges of integrating quantum computation and machine learning and to gain better knowledge in this area. The goal of this workshop is to gather researchers in quantum computing and machine learning together, to discuss achievements, challenges and visions in this field.
The workshop program will be a combination of "hot topic" presentations by world-renowned experts in the field, original and recently published papers and a panel discussion with participants. The program will also include an introductory tutorial to QML for a machine learning audience. This will allow workshop participants to obtain a global perspective of the scope of this area and of the technical challenges associated with it, in a participative and interactive manner.
Submission Guidelines
The workshop will welcome submissions in the following formats:
- Extended abstracts that report on novel and preliminary ideas. Extended abstracts can be at most 4 pages in LNCS format.
- Presentations of relevant work that has recently been published. The submission should in this case only consist of a copy of the paper.
List of Topics
- Quantum learning theory
- Quantum algorithms for machine learning tasks
- Machine learning for quantum information processing
- Quantum tensor networks
- Applications of quantum machine learning
Committees
Program Committee
- Alessandra Di Pierro (University of Verona)
- Cécilia Lancien (CNRS, Institut Fourier Grenoble)
- Anupam Prakash (QC Ware)
- Minh Ha Quang (Riken)
- Anna Scaife (University of Manchester)
Organizing committee
- Giuseppe Di Molfetta (Aix-Marseille University)
- Vedran Dunjko (Leiden University)
- Hachem Kadri (Aix-Marseille University)
- Francesco Petruccione (University of KwaZulu-Natal)
Invited Speakers
- Bob Coecke (Cambridge Quantum)
- Ronald de Wolf (CWI and University of Amsterdam)
- Elham Kashefi (CNRS and University of Edinburgh)
- Iordanis Kerenidis (QC Ware and CNRS)
- Francesco Petruccione (University of KwaZulu-Natal)
Venue
The workshop is co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, which will be held in Grenoble, France.
Contact
All questions about submissions should be emailed to hachem.kadri@univ-amu.fr