Workshop on Quantum Machine Learning @ECML-PKDD 2022

[Hachem Kadri]

Dear all,

We are excited to share the call for papers for our upcoming workshop on Quantum Machine Learning, colocated with ECML-PKDD 2022.

Please feel free to forward this call to all lists and individuals you think might be interested.
    
Best,
Giuseppe Di Molfetta, Vedran Dunjko, Hachem Kadri, Francesco Petruccione, Workshop Chairs

=====================================================
QML@ECML-PKDD22
Workshop on Quantum Machine Learning
Grenoble, France, September 19th, 2022
Co-located with ECML-PKDD 2022

Submission deadline: May 20th, 2022
Workshop website: https://quantml.lis-lab.fr/QMLatECMLPKDD
=====================================================

TOPIC
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.

This workshop is part of ECML-PKDD2022, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.

Keynote Speakers

• Bob Coecke, Cambridge Quantum
Title: Quantum Natural Language Processing
• Ronald de Wolf, CWI and University of Amsterdam
Title: Quantum Learning Theory
• Elham Kashefi, CNRS and University of Edinburgh
Title: Noisy Intermediate Scale QML
• Iordanis Kerenidis, QC Ware and CNRS
Title: Towards Quantum Machine Learning Applications
• Francesco Petruccione, Stellenbosch University
Title: Introduction to QML
  

Important Dates

• Workshop paper submission deadline: June 20th, 2022
• Notification of paper acceptance: July 13th, 2022
• Camera-ready paper submission deadline: September 12th, 2022
• Workshop dates: September 19th, 2022
  

Call for Contributions
The workshop will welcome submissions in the following formats:

1. Extended abstracts that report on novel and preliminary ideas. Extended abstracts can be at most 4 pages in LNCS format.
2. Presentations of relevant work that has recently been published. The submission should in this case only consist of a copy of the paper.
   

We invite submissions on topics including but not limited to the following:

• Quantum learning theory
• Quantum algorithms for machine learning tasks
• Machine learning for quantum information processing
• Quantum tensor networks
• Applications of quantum machine learning
  

Submission Website: Submissions is via EasyChair.

Registration: One registration per each accepted paper is required. Please check the ECML-PKDD website for the registration details.

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
  

Workshop Chairs

• Giuseppe Di Molfetta, Aix-Marseille University
• Vedran Dunjko, Leiden University
• Hachem Kadri, Aix-Marseille University
• Francesco Petruccione, Stellenbosch University