Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Springer eBooks

A Novel Perception of Quantum Software: Theoretical, Engineering, and Application Aspects

Michael Felderer, Ricardo Pérez‐Castillo, Mario G. Piattini, Iaakov Exman

Published Jan 1, 2024• 0 citations
Publisher

Abstract

Abstract The chapter discusses the importance of quantum software and defines it as a multifaceted concept comprising a theoretical, engineering, and application viewpoint. Hence, it covers aspects of quantum software theory, quantum software systems, as well as quantum software laboratory. The chapter also outlines the entire book and its individual chapters structured into three parts on quantum software theory, quantum software system design, as well as quantum software laboratory and applications.

DOI
10.1007/978-3-031-64136-7_1

Related papers

Quantum Software Engineering: Landscapes and Horizons

Jianjun Zhao

Quantum software plays a critical role in exploiting the full potential of quantum computing systems. As a result, it has been drawing increasing attention recently. This paper defines the term "quantum software engineering" and introduces a quantum software life cycle. The paper also gives a generic view of quantum software engineering and discusses the quantum software engineering processes, methods, and tools. Based on these, the paper provides a comprehensive survey of the current state of the art in the field and presents the challenges and opportunities we face. The survey summarizes the technology available in the various phases of the quantum software life cycle, including quantum software requirements analysis, design, implementation, test, and maintenance. It also covers the crucial issues of quantum software reuse and measurement.

arXiv:2007.07047•Jul 14, 2020•116 citations

Quantum Software

Iaakov Exman, Ricardo Pérez-Castillo, Mario Piattini +1 more

This OA book explains the state of the art in quantum software theory and engineering and provides examples of applications and laboratory experiences.

Springer eBooks•Jan 1, 2024•9 citations

Quantum Software Ecosystem Design

Achim Basermann, Michael Epping, Benedikt Fauseweh +7 more

Abstract The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and primed for systematic investigation. This chapter takes an important step in this direction. It presents scientific considerations essential for building a quantum software ecosystem that makes quantum computing available for scientific and industrial problem-solving. Central to this discourse is the concept of hardware–software co-design, which fosters a bidirectional feedback loop from the application layer at the top of the software stack down to the hardware. This approach begins with compilers and low-level software that are specifically designed to align with the unique specifications and constraints of the quantum processor, proceeds with algorithms developed with a clear understanding of underlying hardware and computational model features, and extends to applications that effectively leverage the capabilities to achieve a quantum advantage. We analyze the ecosystem from two critical perspectives: the conceptual view, focusing on theoretical foundations, and the technical infrastructure, addressing practical implementations around real quantum devices necessary for a functional ecosystem. This approach ensures that the focus is toward promising applications with optimized algorithm–circuit synergy, while ensuring a user-friendly design, an effective data management, and an overall orchestration. This chapter thus offers a guide to the essential concepts and practical strategies necessary for developing a scientifically grounded quantum software ecosystem.

Springer eBooks•Jan 1, 2024•2 citations

Quantum Service-oriented Computing: A Proposal for Quantum Software as a Service

Javier Romero‐Álvarez, Jaime Alvarado‐Valiente, Enrique Moguel +2 more

This book is an analysis of quantum computing, covering everything from its foundational principles to practical applications in the development of quantum services. It offers a technical and complex overview to provide the necessary knowledge to any researcher, scientist or developer who wants to get into service-oriented quantum computing. The field of quantum computing has evolved rapidly in recent years, with the potential to revolutionize the way we approach complex problems in various fields. This comprehensive guide covers the fundamental principles of quantum computing and its practical applications in the development of quantum services. Beyond theoretical knowledge, the book goes on to explore some of the challenges that quantum software developers face in today’s landscape. It addresses issues related to low-level abstractions and the absence of integration, deployment and quality assurance mechanisms in quantum software engineering. Also, it explores the principles of service-oriented computing applied to quantum computing, revealing architectural patterns adapted to quantum computing and discussing standardization and accessibility in this field. It also provides insight into streamlining the deployment process through a DevOps approach for continuous deployment of quantum services. This book will serve as a guide for all researchers, scientists and developers by providing them with an understanding of the current limitations and problems in quantum computing-oriented software development, and how to address them with software engineering techniques and tools applied to quantum computing.

River Publishers eBooks•Sep 5, 2024•4 citations

Quantum Software: The Brain of Quantum — Guest Editor’s Introduction

Iaakov Exman

Quantum Software, its engineering and its applications are becoming more and more indispensable components of the current knowledge baggage of researchers and industrial professionals. Given the continuous accelerating developments of Quantum Computing, and the vastness of available knowledge, one needs efficient methods to dedicate the limited available personal time to the correct choice of selective information. This Special Issue on “Quantum Computing and Software Engineering” offers a small, but diverse set of papers covering theoretical, practical software system design and a pragmatic survey of Quantum Software Engineering, being a map pointing to references of relevance, aiming to answer the issue of choice of selective information.

International Journal of Software Engineering and Knowledge Engineering•Jul 27, 2024•1 citation

Engineering Hybrid Software Systems

Luis Jiménez-Navajas, Ricardo Pérez‐Castillo, Mario G. Piattini

Abstract Quantum computing is getting closer and closer to bringing all its potential applications to our lives. This means that in a few years the current IT will evolve into hybrid software systems where quantum and classical computing paradigms should be designed, developed, and operated together. This is a big challenge that will require software modernization processes for transforming and migrating legacy software systems (which may include adding new existing quantum software) toward such hybrid software systems. This chapter discusses the challenges of hybrid software and how software modernization (based on architecture-driven modernization) can be used as a reengineering solution for an effective evolution of classical and quantum software.

Springer eBooks•Jan 1, 2024•0 citations
Abstract The chapter discusses the importance of quantum software and defines it as a multifaceted concept comprising a theoretical, engineering, and application viewpoint. Hence, it covers aspects of quantum software theory, quantum software systems, as well as quantum software laboratory. The chapter also outlines the entire book and its individual chapters structured into three parts on quantum software theory, quantum software system design, as well as quantum software laboratory and applications.
Quantum software plays a critical role in exploiting the full potential of quantum computing systems. As a result, it has been drawing increasing attention recently. This paper defines the term "quantum software engineering" and introduces a quantum software life cycle. The paper also gives a generic view of quantum software engineering and discusses the quantum software engineering processes, methods, and tools. Based on these, the paper provides a comprehensive survey of the current state of the art in the field and presents the challenges and opportunities we face. The survey summarizes the technology available in the various phases of the quantum software life cycle, including quantum software requirements analysis, design, implementation, test, and maintenance. It also covers the crucial issues of quantum software reuse and measurement.
Abstract The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and primed for systematic investigation. This chapter takes an important step in this direction. It presents scientific considerations essential for building a quantum software ecosystem that makes quantum computing available for scientific and industrial problem-solving. Central to this discourse is the concept of hardware–software co-design, which fosters a bidirectional feedback loop from the application layer at the top of the software stack down to the hardware. This approach begins with compilers and low-level software that are specifically designed to align with the unique specifications and constraints of the quantum processor, proceeds with algorithms developed with a clear understanding of underlying hardware and computational model features, and extends to applications that effectively leverage the capabilities to achieve a quantum advantage. We analyze the ecosystem from two critical perspectives: the conceptual view, focusing on theoretical foundations, and the technical infrastructure, addressing practical implementations around real quantum devices necessary for a functional ecosystem. This approach ensures that the focus is toward promising applications with optimized algorithm–circuit synergy, while ensuring a user-friendly design, an effective data management, and an overall orchestration. This chapter thus offers a guide to the essential concepts and practical strategies necessary for developing a scientifically grounded quantum software ecosystem.
This book is an analysis of quantum computing, covering everything from its foundational principles to practical applications in the development of quantum services. It offers a technical and complex overview to provide the necessary knowledge to any researcher, scientist or developer who wants to get into service-oriented quantum computing. The field of quantum computing has evolved rapidly in recent years, with the potential to revolutionize the way we approach complex problems in various fields. This comprehensive guide covers the fundamental principles of quantum computing and its practical applications in the development of quantum services. Beyond theoretical knowledge, the book goes on to explore some of the challenges that quantum software developers face in today’s landscape. It addresses issues related to low-level abstractions and the absence of integration, deployment and quality assurance mechanisms in quantum software engineering. Also, it explores the principles of service-oriented computing applied to quantum computing, revealing architectural patterns adapted to quantum computing and discussing standardization and accessibility in this field. It also provides insight into streamlining the deployment process through a DevOps approach for continuous deployment of quantum services. This book will serve as a guide for all researchers, scientists and developers by providing them with an understanding of the current limitations and problems in quantum computing-oriented software development, and how to address them with software engineering techniques and tools applied to quantum computing.
Quantum Software, its engineering and its applications are becoming more and more indispensable components of the current knowledge baggage of researchers and industrial professionals. Given the continuous accelerating developments of Quantum Computing, and the vastness of available knowledge, one needs efficient methods to dedicate the limited available personal time to the correct choice of selective information. This Special Issue on “Quantum Computing and Software Engineering” offers a small, but diverse set of papers covering theoretical, practical software system design and a pragmatic survey of Quantum Software Engineering, being a map pointing to references of relevance, aiming to answer the issue of choice of selective information.
Abstract Quantum computing is getting closer and closer to bringing all its potential applications to our lives. This means that in a few years the current IT will evolve into hybrid software systems where quantum and classical computing paradigms should be designed, developed, and operated together. This is a big challenge that will require software modernization processes for transforming and migrating legacy software systems (which may include adding new existing quantum software) toward such hybrid software systems. This chapter discusses the challenges of hybrid software and how software modernization (based on architecture-driven modernization) can be used as a reengineering solution for an effective evolution of classical and quantum software.