QTML 2020: Quantum Techniques in Machine Learning 2020 Boston Marriott Cambridge Cambridge, MA, United States, November 9-12, 2020 |
Conference website | https://www.qtml2020.com/ |
Submission link | https://easychair.org/conferences/?conf=qtml2020 |
Abstract registration deadline | July 26, 2020 |
Poster submission deadline | July 26, 2020 |
Submission deadline | July 26, 2020 |
Last day to reserve hotel at discount rate | October 19, 2020 |
Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology 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 focussed on the interplay between machine learning and quantum physics.
Submission Guidelines
QTML 2020 will be accepting, for contributed talks, short abstract submissions and long paper submissions. The conference will aim for the best quality talks, regardless which track they come from; no preference is given to either track. The following categories are welcome:
- Full papers Papers must be original and not simultaneously submitted to another journal or conference. Accepted papers will be presented orally at the conference and will appear in the conference proceedings. The length of the submission must be 12-15 pages in the LNCS/CCIS one-column page format, excluding bibliography and appendices. Authors are asked to apply Springer conference paper templates, which can be found in the author’s instruction page linked here. Submissions should be in PDF format.
- Short papers Submission should consist of a 1 page abstract and optionally a reference to a full technical version. Accepted submissions will be presented orally at the conference but will not appear in the proceedings. Work already published or to be published elsewhere can be submitted to this track. If the work corresponding to the submission is published, has been submitted elsewhere, or appears on arXiv, then it should be indicated in the submission.
- Posters Poster-only submissions can be submitted, and should include an abstract in the same format as the short paper.
List of Topics
Example topics at QTML include, but are not limited to:
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Quantum algorithms for machine learning tasks
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Quantum state reconstruction from data
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Machine learning for experimental quantum information
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Machine learning for Hamiltonian learning
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Variational quantum algorithms
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Learning and optimization with hybrid quantum-classical methods
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Quantum machine learning applications for industry
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Tensor network methods and quantum-inspired machine learning
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Data encoding and processing in quantum systems
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Quantum learning theory
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Quantum software for machine learning
Committees
Organizing committee
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Jonathan Olson (Zapata Computing, Chair)
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Alessandra Di Pierro (Università di Verona)
Program Committee
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Alejandro Perdomo-Ortiz (Zapata Computing, Co-Chair)
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Roger Melko (University of Waterloo, Perimeter Institute, Co-Chair)
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Alessandra Di Pierro (Università di Verona, Chair)
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Amira Abbas (University of KwaZulu-Natal)
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Giovanni Acampora (Università di Napoli Federico II)
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Alba Cervera-Lierta (University of Toronto)
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Matthias Degroote (University of Toronto)
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Vedran Dunjko (LIACS, Leiden University)
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Christina Giarmatzi (University of Queensland)
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Aroosa Ijaz (Xanadu, Canada)
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Maria Kieferova (University of Technology Sydney)
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Lucas Lamata (Universidad de Sevilla)
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Nana Liu (Shanghai Jiao Tong University)
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Daniel Park (Korea Advanced Institute of Science and Technology)
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Minh Ha Quang (RIKEN)
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June-Koo Kevin Ree (Korea Advanced Institute of Science and Technology)
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Davide Venturelli (USRA Research Institute for Advanced Computer Science, NASA)
Scientific Advisory Committee
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Hans Briegel (University of Innsbruck)
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Juan Carrasquilla (Perimeter Institute, Vector Institute)
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Ignacio Cirac (Max Planck Institute of Quantum Optics)
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Eun-Ah Kim (Cornell University)
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Eleanor Rieffel (NASA)
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Maria Schuld (Xanadu, University of KwaZulu-Natal)
Publication
It is planned to publish the QTML 2020 proceedings with Springer in their Communications in Computer and Information Science series (final approval pending).
Venue
Due to the Covid-19 pandemic, the conference will be set up to allow for online talks and attendees; ALL talks will be accessible online. We are continuing to monitor the situation to determine whether it is possible to continue to have a physical venue for participants that wish to come in-person; we will have an update as late as September 1 to clarify the final venue setting.
The venue, if available, will be located at the Boston Marriott Cambridge hotel. The hotel is located in the heart of the technology sector in greater Boston area, right next door to the historic Massachusetts Institute of Technology, and just two subway stops away from Harvard University.
Contact
Questions about submissions should be emailed to Alejandro (alejandro at zapatacomputing.com) or Roger (rgmelko at uwaterloo.ca). General questions about the conference should be emailed to Jonathan Olson (jonny at zapatacomputing.com)
Sponsors
Zapata Computing, Inc.