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Lecture notes in computer science

A Perspective on the Interplay Between 5G and Quantum Computing for Secure Algorithm and Software Engineering

Andrea D’Urbano, Christian Catalano, Angelo Corallo

Published Dec 1, 2023• 1 citation
Publisher
DOI
10.1007/978-3-031-49269-3_9

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This annotated bibliography delves into the field of quantum computing, focusing specifically on the resources used throughout the software life cycle. It examines several published works that analyze quantum software modelling in the context of the various phases of the life cycle, from analysis/requirements to testing and maintenance. Each annotation provides an analysis of software engineering resources applicable to quantum software development and their applicability to different phases of the software development process. By synthesizing these diverse perspectives, this bibliography illuminates the evolving landscape of quantum software development and underscores the critical role of modelling in the context of software engineering. The result provides a valuable starting point for researchers and practitioners who wish to deepen the interplay between quantum computing and software engineering, fostering innovation and advances in this evolving field.
This study delves into the crucial paradigm of privacy engineering for data protection in software design, specifically focusing on its application in Quantum Computing (QC). The relevance and importance of this focus must be considered. Implementing a full-scale QC requires time and heavy investment in IT infrastructure. The ultimate solution for deploying QC is a hybrid of classical computers interfacing with QC in hybrid clouds. While QC is a secure system by design, it has to interface with classical computers, which do not have such advanced security embedded in their design. The current study reviews the main QC and software developers to shed light on this hybrid integration. We also explore the recent NIST secure algorithms designed for such integration. Modern security algorithms such as RSA and ECC cannot continue in the era of quantum computing. Our study's findings are significant, as they highlight the potential of integrating the existing privacy engineering frameworks with advanced features of QC algorithms, particularly post-quantum cryptography (PQC) secure algorithms. In particular, the study highlights homomorphic and quantum key distribution algorithms for encryption and secure key distribution in a privacy-preserving approach.
Quantum software engineering (QSE) requires understanding application requirements, quantum programs and algorithms, quantum computation paradigms, executions, and deployment. However, relevant quantum computing (QC) concepts are often defined across physical, mathematical, and paradigm-specific levels of abstraction, making it difficult for the QSE community and hence proposed methods to refer to them consistently. To this end, we present QSoftCore, a conceptual model that reorganizes established QC concepts from a software engineering perspective and connects quantum applications, computational problems, algorithms, configurations, programs, and paradigm-specific computation specifications with state evolution, execution results, and backends. Our assessment against QSE literature across key software engineering activities indicates that QSoftCore provides shared QC referents for quantum computations, executions, deployment configurations, backends, and measurement evidence across the QSE lifecycle.