QTML2021: Quantum Techniques in Machine Learning 2021 Virtual Conference Tokyo, Japan, November 8-12, 2021 |
Conference website | https://www.quantummachinelearning.org/qtml2021.html |
Submission link | https://easychair.org/conferences/?conf=qtml2021 |
Submission deadline | September 15, 2021 |
Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum computing and 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), Daejeon, South Korea (2019), virtually (2020, hosted by Zapata Computing). QTML 2021 is the conference's fifth annual year and will be held online (hosted by RIKEN).
Submission Guidelines
Authors are invited to submit extended abstracts of up 2-page length by September 15, 2021 by visiting the EasyChair page https://www.quantummachinelearning.org/qtml2021-submission.html
The following submission types are welcome:
- Extended abstracts Please submit extended abstracts in the following format: PDF, single column, single-space 11-point fonts, maximum 2 pages (excluding references). Each extended abstract should include a short abstract of up to 50 words. In the extended abstract, please explain clearly the objective and results of the submitted work. It may include a link to a full paper if the work has already been published or is available on arXiv.
- Posters Please submit abstracts for posters in the following format: PDF, single column, single-space 11-point fonts, maximum 1 page.
Publication
Accepted abstracts will be collected in informal proceedings that will be distributed at the conference. After the conference, authors will be invited to write a full paper on their work to be submitted for publication in the conference post-proceedings. The accepted contributions will be published in a dedicated volume of the Quantum Machine Intelligence journal.
List of Topics
Topics include but are not limited to:
- Quantum algorithms for machine learning tasks
- Learning and optimization with hybrid quantum-classical methods
- Tensor methods and quantum-inspired machine learning
- Data encoding and processing in quantum systems
- Quantum learning theory
- Fuzzy logic for quantum machine learning
- Quantum state reconstruction from data
- Machine learning for experimental quantum information
- Quantum machine learning applications for industry
- Quantum software and quantum computing platforms for NISQ devices
Committees
Program Committee
- Program Co-Chair: Nana Liu (Shanghai Jiao Tong University)
- Program Co-Chair: Birgitta Whaley (University of California, Berkeley)
- Alessandra Di Pierro (Università di Verona)
- Juan Carrasquilla (Vector institute)
- Amira Abbas (University of KwaZulu-Natal)
- Matthias Degroote (University of Toronto)
- Vedran Dunjko (LIACS, Leiden University)
- Lei Wang (Chinese Academy of Sciences)
- Aroosa Ijaz (Vector Institute)
- Lucas Lamata (Universidad de Sevilla)
- Alba Cervera Lierta (University of Toronto)
- Alexey Melnikov (Terra Quantum)
- Miles Stoudenmire, Flatiron Institute
- Minh Ha Quang (RIKEN Center for Advanced Intelligence Project)
- June-Koo Kevin Rhee (Korea Advanced Institute of Science and Technology)
- Ryan Sweke (Free University of Berlin)
- Jonas M. Kubler (Max Planck Institute for Intelligent Systems)
- Stuart Hadfield (NASA)
- Sukin Sim (Zapata Computing)
- Jarrod Mcclean (Google)
- Patrick Rebentrost (National University of Singapore)
- Kishor Bharti (National University of Singapore)
- Kunal Sharma (University of Maryland)
- Yihui Quek (Stanford University)
- Giuseppe Carleo (EPFL)
- Alejandro Perdomo-Ortiz (Zapata Computing)
- Mikel Sanz (Ikerbasque Basque Foundation for Science)
Organizing committee
- Minh Ha Quang (RIKEN Center for Advanced Intelligence Project)
- Franco Nori (RIKEN Theoretical Quantum Physics Laboratory/RIKEN Center for Quantum Computing)
- Qibin Zhao (RIKEN Center for Advanced Intelligence Project)
Invited Speakers
- Sanjeev Arora, Princeton University
- Max Welling, University of Amsterdam
- Anima Anandkumar, California Institute of Technology
- Maria Kieferova, University of Technology Sydney
- Nathan Wiebe, University of Toronto
- Srinivasan Arunachalam, IBM
- Keisuke Fujii, Osaka University
- Maria Schuld, Xanadu/University of KwaZulu-Natal
- Iordanis Kerenidis, CNRS/University Paris Diderot
- Lenka Zdeborova, EPFL
- Jens Eisert, Free University of Berlin
- Alan Aspuru-Guzik, University of Toronto
- Hsin-Yuan Huang, California Institute of Technology
- Nobuyuki Yoshioka, University of Tokyo
- Jarrod Mcclean, Google
- Roger Melko, University of Waterloo
Contact
All questions about submissions should be emailed to minh.haquang@riken.jp