QTML 2022: Quantum Techniques in Machine Learning Università Federico II Napoli, Italy, November 8-11, 2022 |
Conference website | https://quasar.unina.it/qtml2022.html |
Submission link | https://easychair.org/conferences/?conf=qtml2022 |
Poster | download |
Abstract registration deadline | July 1, 2022 |
Submission deadline | July 1, 2022 |
Poster submission deadline | July 31, 2022 |
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) and Daejeon, South Korea (2019). The 2020 and 2021 editions were held online, hosted by Zapata Computing and by Riken, respectively. QTML 2022 is the sixth edition and will be held in person in Naples (Italy).
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 5 pages (excluding references). Accepted abstracts will be presented at the conference.
- Posters Please submit a 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
- 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
- Quantum learning theory
- Quantum state reconstruction
- Quantum optimization
- Quantum evolutionary algorithms
- Fuzzy logic for quantum machine learning
- ...
Committees
Program Committee
- Franco Nori - Riken Center for Quantum Computing, Japan (program chair)
- Patrick Rebentrost - Centre for Quantum Technologies, Singapore (program chair)
- Alessandra Di Pierro - Università di Verona
Organizing committee
- Autilia Vitiello
- Giovanni Acampora
Invited Speakers
- To be confirmed
Publication
Accepted abstracts will be collected in informal proceedings that will be distributed at the conference. After the conference, authors of original contributions will be invited to submit an extended version of their abstracts to the Quantum Machine Intelligence journal for publication in a volume dedicated to QTML 2022.
Venue
The conference will be held in Naples at Centro Congressi Partenope.
Contact
All questions about submissions should be emailed to alessandra.dipierro@univr.it