Track: Quality Aspects in Quantum Computing
ABOUT
As first quantum computers have become a reality, new programming languages have been created in order to use them leading to new quantum algorithms, which yield promising results. Quantum Computing is becoming a mature area while an investment scalation is happening in public and private sectors. Thus, the quantum supremacy is expected for the next few years, allowing quantum computers to able to solve problems that classical computer practically cannot.
In the coming years, companies will progressively need to add quantum computing to some or all of their daily operations. It is clear that all existing, classical information systems cannot be thrown away. Instead of this, it is expected to add some quantum algorithm that work embedded in classical information systems.
However, this new kind of computing requires new ways of thinking and programming leading to a new computing paradigm with new challenges. In this new scenario new paradigms have to arise and new development methodologies and testing techniques will be require along with quality aspects for this kind of systems.
In this context, this track is oriented at gathering researchers interested in quantum software engineering, quantum software quality, quantum systems development methodologies and related topics. We look forward for novel works in the area in order to take an step forward in this new paradigms.
TOPICS
The suggested topics of interest include, but are not restricted to:
Testing of quantum programs
Quantum systems modernization
Quantum software quality metrics
Quantum systems management and maturity models
Quantum software development lifecycle
Quantum software governance
Quantum services quality models
Quantum quality skills and knowledge
TRACK COMMITTEE
Chair: Rui Abreu, University of Porto and INESC-ID, Portugal
Program Committee:
Jose Campos, University of Lisbon, Portugal
Guido Peterssen, aQuantum, Spain
Mario Piattini, aQuantum, Spain
Jordi Tura, Max-Planck-Institut für Quantenoptik, Germany
João Paulo Fernandes, Universidade do Porto, Portugal
Ricardo Perez del Castillo, aQuantum, Spain
Ignacio García Rodríguez de Guzmán, Instituto de Tecnologías y Sistemas de Información, UCLM, Spain
Rui Maranhao Abreu, University of Porto and INESC-ID, Portugal
Frank Phillipson, TNO, Netherlands
José Luis Hevia, aQuantum, Spain
Guillermo Hernandez, aQuantum, Spain
Macario Polo, Universidad de Castilla - La Mancha, Spain
Juan Manuel Murillo, Universidad de Extremadura, Spain
Jose A. Cruz-Lemus, Universidad de Castilla - La Mancha, Spain
Shaukat Ali, Simula, Norway
Paolo Arcaini, National Institute of Informaticsk, Japan
Luís Soares Barbosa, University of Minho, Portugal
Lei Zhang, Ryerson University, Canada
Shaohan Hu, IBM, USA
Jianjun Zhao, Kyushu University, Japan
Carmelo R. Cartiere, NEXTSENSE (SRL), Italy
Wille Robert, Johannes Kepler University Linz, Austria
Sebastian Feldt, Delft University of Technology, Netherlands
Frank Leymann, University of Stuttgart, Germany
David White, The University of Sheffield, UK
Goeran Wendin, Chalmers University of Technology, Sweden
Jose Oliveira, University of Minho, Portugal
Andriy Miranskyy, Department of Computer Science, Ryerson University, Canada
Joao Fernandes, University of Porto, Portugal
Xiaodi Wu, University of Maryland, USA
Wolfgang Mauerer, OTH Regensburg, Germany
Hausi A Muller, University of Victoria, Canada
Manuel Wimmer, JKU Linz, Austria
Jordi Tura, Max-Planck-Institut für Quantenoptik, Germany
Michael Felderer, University of Innsbruck, Austria
Rui Abreu holds a Ph.D. in Computer Science - Software Engineering from the Delft University of Technology, The Netherlands, and a M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality, with emphasis in automating the testing and debugging phases of the software development life-cycle as well as self-adaptation. Dr. Abreu has extensive expertise in both static and dynamic analysis algorithms for improving software quality. He is the recipient of 6 Best Paper Awards, including a Distinguished Paper Award at ESEC/FSE 2019, and his work has attracted considerable attention. Before joining FEUP as a Full Professor, he was an Associate Professor at IST, ULisbon and a member of the Model-Based Reasoning group at PARC’s System and Sciences Laboratory and an Assistant Professor at the University of Porto. He has co-founded DashDash in January 2017, a platform to create web apps using only spreadsheet skills. The company has secured $9M in Series A funding in May 2018. He was a Visiting Researcher at Google NYC between 2019 and 2020, working on building systems and tools to increase the security of C/C++ codebases.