For those in quantum machine learning, I am willing to send you to this workshop, one per project to present. See talk deadline. By then we should have paper / patents submitted though. I think it is worth sending you if you get selected for a talk,
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From:
Riccardo Mengoni <riccardo.mengoni@univr.it>Date: Thu, Jul 27, 2017 at 9:22 AM
Subject: 1st Workshop on Quantum Techniques in Machine Learning - QTML 2017
To: Alessandra Di Pierro <
alessandra.dipierro@univr.it>
Cc:
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andreas.winter@uab.catSaneBox - SaneAttachments has copied these files to Dropbox
QTML2017 - Call For Paper.pdf
https://www.dropbox.com/s/fi4rpoo20ibp1w7/QTML2017%20-%20Call%20For%20Paper.pdf?dl=0
- Dropbox/SaneBox/Riccardo Mengoni/1st Workshop on Quantum Techniques in Mac_,
2017-07-27 09.22.37 AM/
Use the url above or find it in Dropbox with the path of the file provided next to the link.
You can also forward this email as usual.
______________________________
__________
***************************************************************************
1st Workshop on Quantum Techniques in Machine Learning
QTML 2017
Verona, Italy
November 6-8, 2017
http://qtml2017.di.univr.it
***************************************************************************
AIMS:
The main purpose of the QTML workshop is to provide an interdisciplinary platform to bring together leading academic scientists, researchers and students in the fields of Quantum Computing, Machine Learning and Quantum Machine Learning (QML).
The workshop aims to survey the major results in the new area of QML through a series of invited talks. The programme will also include a number of contributed presentations (see below for submission instructions).
VENUE:
QTML 2017 will take place in Verona, Italy. The venue will be:
Dipartimento di Informatica
Università di Verona
Ca' Vignal 2, Strada le Grazie, 15
37134 Verona (Italy)
SCOPE:
Topics include, but are not limited to:
- Quantum computing for enhancing machine learning algorithms
- Machine learning techniques for the analysis of interacting quantum systems
- Quantum entanglement and topology for the efficient representation of quantum systems
- Topological approaches to machine learning based on Topological Quantum Computation
- Advances of algorithmic techniques for quantum optimisation systems (e.g. quantum annealers)
STRUCTURE:
QTML 2017 will consist of:
- invited talks
- peer-reviewed contributions
INVITED SPEAKERS:
• Seth Lloyd (Massachusetts Institute of Technology, Boston)
• Marco Loog (TU Delft, Nederlands)
• Minh Hà Quang (Italian Institute of Technology, Genoa, Italy)
• Jiannis Pachos (University of Leeds, UK)
• Davide Venturelli (NASA Intelligent System Division)
• Andreas Winter (Universitat Autònoma de Barcelona, Spain)
• Peter Wittek (Institute for Photonic Science ICFO)
PROGRAMME COMMITTEE:
• Alessandra Di Pierro (Università di Verona, chair)
• Stefano Mancini (Università di Camerino, chair)
• Alberto Carlini (Universita' del Piemonte Orientale)
• Simone Severini (UCL London, UK)
• David Winbridge (Middlesex University London)
ORGANIZING COMMITTEE:
• Alessandra Di Pierro (Università di Verona)
• Stefano Mancini (Università di Camerino)
• Riccardo Mengoni (Università di Verona)
SUBMISSIONS:
Authors are invited to submit extended abstracts of up 2-page length by September 16, 2017 by visiting the EasyChair page
https://easychair.org/conferences/?conf=qtml2017
PUBLICATION:
Accepted abstracts will be collected in informal proceedings that will be distributed at the workshop.
After the workshop, authors will be invited to write a full paper on their work to be submitted for publication in the workshop post-proceedings.
The accepted contributions will be published in a dedicated volume of the International Journal of Quantum Information.
DEADLINES (all at 23:59 CET):
Abstract submission: September 16, 2017
Notification acceptance or rejection: September 23, 2017
Early registration: October 4, 2017
Late registration: October 27, 2017
Submission to the post-conference journal special issue: March 30, 2018
QUESTIONS AND FURTHER INFORMATION:
alessandra.dipierro(at)univr.it
riccardo.mengoni(at)univr.it
ACKNOWLEDGMENTS:
Dipartimento di Informatica Università di Verona
Riccardo Mengoni, PhD student,
Computer Science Department,
University of Verona,
Ca' Vignal 2, Strada Le Grazie 15, 37134 Verona, Italy
E-mail: riccardo.mengoni@univr.it
Skype: riccardo_mengoni