Johanna Barzen, Frank Leymann 

Date/Time: 22.03.2023, 16:00 

Location: D5.0.001

Abstract 

Quantum computing is perceived to have a deep impact on computing and society in general. This talk begins by presenting the underpinnings of quantum computing. The notion of quantum bits as well as phenomena like quantum parallelism and entanglement - which are considered to be the sources of the power of quantum computers - are explained. The way how quantum computers are programmed, which is very differently from programming classical computers, is sketched. The technological limits of currently available quantum computers are discussed, and their potentials in machine learning are revealed. A use case from the media science is presented in which results from both, classical machine learning and quantum machine learning have been compared. This proves the need for a tool that eases such comparisons, which has been developed by the speakers and which is briefly presented.

Registration

We look forward to your registration to: events@ai.wu.ac.at

Bio 

Johanna Barzen is a postdoc at the University of Stuttgart and leads the Quantum Computing and Digital Humanities research area at the Institute of Architecture of Application Systems (IAAS). Her research lies in the intersection of computer science, media science, digital humanities, and quantum computing. Thereby, she applies pattern languages, data analytics, and machine learning. From 2012 on she is working on digital humanities projects and developed the MUSE method along with a supporting tool chain to identify costume pattern languages in films. Her interdisciplinary approach of combining research on digital humanities with the potentials of quantum computing coined the term Quantum Humanities. Ongoing research on (quantum) machine learning is currently determining the potentials of quantum approaches in contrast to classical approaches. Currently she is also a visiting scientist at the Business Informatics Group of the TU-Wien bridging the research areas model-driven development and digital humanities.

Frank Leymann is a full professor of computer science at University of Stuttgart, Germany. His research interests include software architecture,  robustness of highly-distributed applications, middleware, pattern languages, and quantum computing. Frank is co-author of more than 500 peer-reviewed papers, more than 70 patents, and several industry standards. He is elected member of the Academia Europaea, a fellow of the center for Integrated Quantum Science and Technology, Fellow of the Asia-Pacific Artificial Intelligence Association, and Kurt Gödel visiting professor for quantum computing at TU Vienna. His advice is asked for by the EU, several German government institutions, as well as CxOs of companies world-wide. Before moving to university he was an IBM Distinguished Engineer, and member of a small team responsible for the architecture and strategy of the whole IBM middleware stack.