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Call for Papers für unseren GI Quantum Computing Workshop 2022

Call for Papers for the GI Quantum Computing Workshop at Informatik 2022 Conference.

The 2022 GI Quantum Computing Workshop focuses on current developments in the field. The organizers encourage submissions in pure (Quantum) Computer Science but also at the interface with the Natural Sciences.

The 2022 GI Quantum Computing Workshop focuses on current developments in the field. The organizers encourage submissions in pure (Quantum) Computer Science but also at the interface with the Natural Sciences.
Researchers and engineers working on topics as listed below are kindly invited to submit research papers, surveys, tutorials, work-in-progress reports, extended abstracts, etc. This explicitly includes new original work, but also recent papers published in or submitted to other venues but of interest for the workshop audience. Accordingly, authors can decide whether their accepted contributions to the workshop are included in the proceedings or not.

Register your Abstract at: https://easychair.org/cfp/GIQC22

List of Topics:
- Quantum Information Theory,
- Quantum Communication and Cryptography,
- Quantum Compute Models,
- Quantum Algorithms,
- Quantum Error Correction,
- Hardware, Platforms and Architectures,
- Software Stacks and Programming Languages,
- Quantum Complexity Theory,
- Quantum AI and Quantum Machine Learning,
- Quantum Education,
- (potential) Application Fields.

Important Dates:
22.05.2022 - Abstract registration (extended)
29.05.2022 - Paper submission
17.06.2022 - Notification of acceptance
10.07.2022 - Camera-ready submission

Program Advisory Board:

  • Jörg Lässig, Fraunhofer IOSB-AST, University of Applied Sciences Zittau/Görlitz
  • Robert Wille, Johannes Kepler University Linz, Software Competence Center Hagenberg
  • Sabine Tornow, Universität der Bundeswehr München, University of Applied Sciences Munich
  • Stefan Seegerer, University Regensburg, IQM Quantum Computers
  • Matthias Klusch, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
  • Andreas Riegg, Daimler AG
  • Alfred Geiger, T-Systems
  • Bettina Just, University of Applied Sciences Mittelhessen
  • Maximilian Selch, Fraunhofer IWU, Technische Universität Dresden
  • Daniel Müssig, Fraunhofer IOSB-AST, University of Applied Sciences Zittau/Görlitz
  • Steve Lenk, Fraunhofer IOSB-AST
  • Andreas Woitzik, University of Freiburg
  • Barbara Staehle, University of Applied Sciences Konstanz
  • Gerhard Hellstern, Baden-Wuerttemberg Cooperative State University
  • Daniel Samarescu Conforti, Fresenius Digital Technology
  • Volker Reers, Qseidon GmbH
  • Albrecht-W. Klein, Independent Management and Policy Consultant