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The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.

Tutorial proposals are accepted until:

March 24, 2020

If you wish to propose a new Tutorial please kindly fill out and submit this Expression of Interest form.


Tutorial on
Quantum Computing is Getting Real: Concepts and Applications


Frank Leymann
University of Stuttgart
Brief Bio
Frank Leymann is a full professor of computer science and founder of the Institute of Architecture of Application Systems (IAAS) at the University of Stuttgart, Germany. His research interests include architecture of large systems, service computing, workflow management, cloud computing, pattern languages, and quantum computing. The projects he is working on are funded by the European Union, the German Government, or directly by industry partners. Frank is co-author of nearly 500 peer-reviewed papers, more than 70 granted patents, and several industry standards. Before moving to university, he served as a Distinguished Engineer at IBM.
Johanna Barzen
University of Stuttgart
Brief Bio
Johanna Barzen studied media science, musicology and phonetics at the University of Cologne. Next to this she studied costume design at the ifs (international film school Cologne) and worked in several film productions in the costume department in different roles. Currently she is Postdoc and research staff member at the Institute of Architecture of Application Systems (IAAS) at the University Stuttgart performing research on Digital Humanities, Pattern Languages and Quantum Computing.

Quantum computing is becoming real: several vendors like IBM and Amazon are offering quantum hardware in the cloud, and this hardware is already powerful enough to solve real world problems. But programming a quantum computer is very different from traditional programming models. In this tutorial, we will explain the background of quantum computing, describe the predominant programming model, give sample algorithms and sketch promising near-term application areas in machine learning.

Secretariat Contacts
e-mail: closer.secretariat@insticc.org