Monday, October 22, 2018

[Mycolleagues] Cfp: QTOP 2019 - Quantum Technology and Optimization Problems, Munich 2019

Dear colleagues,

plaese, could you distribute the following call for papers on the mycolleagues list?

I thank you in advance and best regards,
    Claudia

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                   Call for Papers (CfP)

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               First International Workshop on

   Quantum Technology and Optimization Problems (QTOP'19)

          http://netsys2019.org/workshops/qtop19/

             18th March, 2019, Munich, Germany

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Over the last decade, a wide variety of experimental quantum computing hardware has been invented and used for fundamental demonstrations in laboratories. First results confirm feasibility of such hardware in real-world applications. Recently one can observe upcoming research in areas like traffic flow optimization, mobile sensor placement, machine learning, and many more. The development of quantum computing hardware, be it in the quantum gate model or adiabatic quantum computation (quantum annealing), made huge progress in the last years. This started to transfer knowhow from quantum technology based research to algorithms and applications. This development is offering numerous opportunities to contribute within research, theory, applied technologies and engineering.

QTOP 2019 will be held in conjunction with NetSys2019 (http://netsys2019.org) in Munich, Germany on March 18th, 2019.

The following topics are crucial to the development of future improvements in networked systems based on quantum technology and optimization problems:

- Quantum algorithms and applications
- Experimental results and demonstrations
- Optimized algorithms and applications
- Quantum information processing and computing
- Quantum simulation and computation
- Learning with hybrid quantum-classical methods
- Optimization in Internet of Things
- Cyber-physical networked systems
- Emerging networked applications
- Further related topics

The aim of this workshop is to connect people from academia and industry to discuss about theory, technology and applications and exchange ideas to move efficiently forward in the engineering and development in the exciting area of quantum technology and optimization problems in networked systems.


 

Submission info for manuscripts:

Original and unpublished regular papers are solicited from the above-mentioned areas. Regular papers have a length of up to 12 pages. All manuscripts will be peer reviewed and – after presentation – be published as workshop proceedings in the series "Lecture Notes in Computer Science" (LNCS) of Springer-Verlag. Templates for the manuscripts can be downloaded from: https://www.springer.com/de/it-informatik/lncs

The formatted manuscript should be electronically submitted as pdf via EDAS: https://edas.info/N25448

Further information is available in the NetSys 2019 webpages: http://netsys2019.org/workshops/qtop19/

Important dates:

Paper submission due:  12th November, 2018
Notification date:      7th December, 2018
Final manuscript due:   8th January, 2019
Conference date:       18th-21st March, 2019
Workshop date:         18th March, 2019

Workshop organizers:

Sebastian Feld, LMU Munich, Germany
Claudia Linnhoff-Popien, LMU Munich, Germany

Program Committee:

Nick Chancellor, Durham University, UK
Bo Ewald, D-Wave Systems, Canada
Markus Friedrich, LMU Munich, Germany
Thomas Gabor, LMU Munich, Germany
Markus Hoffmann, Google, Germany
Faisal Shah Khan, Khalifa University, Abu Dhabi
Dieter Kranzlmueller, LRZ, Germany
Luke Mason, Science & Technology Facilities Council, UK
Catherine C. McGeoch, D-Wave Systems, Canada
Masayuki Ohzeki, Tohoku University, Japan
Jonathan Olson, Zapata Quantum Computing, USA
Dan O'Malley, Los Alamos National Laboratory, USA
Tobias Stollenwerk, DLR, Germany


--   Prof. Dr. Claudia Linnhoff-Popien  Lehrstuhl für Mobile und Verteilte Systeme  Leiterin "Innovationszentrum Mobiles Internet" des ZD.B  Vorstandsvorsitzende "Digitale Stadt München e.V."  Herausgeberin DIGITALE WELT   Ludwig-Maximilians-Universität München  Oettingenstr. 67, 80538 München  Tel.: +49 - (0)89 - 2180 9149 Fax: -2180 9148    http://www.mobile.ifi.lmu.de