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.



PREVIOUS TRACK EDITIONS

2021, 2020