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Introduction to quantum software engineering
MARQUER, Yoann; BIANCULLI, Domenico
2025In Proceedings of the 26th International Conference on Product-Focused Software Process Improvement (PROFES 2025)
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Keywords :
Quantum computing; Quantum software engineering
Abstract :
[en] Quantum computing allows for processing information exponentially faster than classical computing, which opens opportunities in many software applications. Nevertheless, the transition to this completely different programming paradigm, with counterintuitive quantum concepts, presents substantial difficulties for software engineers when developing quantum programs. In this tutorial, we present an introductory course on quantum computing and quantum software engineering frameworks and propose exercises on writing, executing, and analyzing quantum circuits.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation
Disciplines :
Computer science
Author, co-author :
MARQUER, Yoann  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
BIANCULLI, Domenico  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
External co-authors :
no
Language :
English
Title :
Introduction to quantum software engineering
Publication date :
19 November 2025
Event name :
26th International Conference on Product-Focused Software Process Improvement (PROFES 2025)
Event place :
Salerno, Italy
Event date :
December 1-3 2025
Audience :
International
Main work title :
Proceedings of the 26th International Conference on Product-Focused Software Process Improvement (PROFES 2025)
Publisher :
Springer
Pages :
163-168
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR14016225 - INSTRUCT - Integrated Satellite-terrestrial Systems For Ubiquitous Beyond 5g Communications, 2020 (01/10/2020-30/09/2026) - Symeon Chatzinotas
Name of the research project :
R-AGR-3781 - IPBG INSTRUCT (SVV)/ SES / Dummy - BRIAND Lionel
Funding number :
IPBG19/14016225/INSTRUCT
Available on ORBilu :
since 22 September 2025

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