Quantum Computing as a Service -- a Software Engineering Perspective
- URL: http://arxiv.org/abs/2510.04982v2
- Date: Sat, 11 Oct 2025 18:03:01 GMT
- Title: Quantum Computing as a Service -- a Software Engineering Perspective
- Authors: Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras Awaysheh,
- Abstract summary: Quantum Computing as a Service (QC) is viewed as a solution to the philosophy of service-orientation.<n>This research investigates a process-centric and architecture-driven approach to offer a software engineering perspective on enabling QC.
- Score: 4.632428776043356
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum systems have started to emerge as a disruptive technology and enabling platforms - exploiting the principles of quantum mechanics via programmable quantum bits (QuBits) - to achieve quantum supremacy in computing. Academic research, industrial projects (e.g., Amazon Braket, IBM Qiskit), and consortiums like 'Quantum Flagship' are striving to develop practically capable and commercially viable quantum computing (QC) systems and technologies. Quantum Computing as a Service (QCaaS) is viewed as a solution attuned to the philosophy of service-orientation that can offer QC resources and platforms, as utility computing, to individuals and organisations who do not own quantum computers. This research investigates a process-centric and architecture-driven approach to offer a software engineering perspective on enabling QCaaS - a.k.a quantum service-orientation. We employed a two-phase research method comprising (a) a systematic mapping study and (b) an architecture-based development, first to identify the phases of the quantum service development life cycle and subsequently to integrate these phases into a reference architecture that supports QCaaS. The SMS process retrieved a collection of potentially relevant research literature and based on a multi-step selection and qualitative assessment, we selected 41 peer-reviewed studies to answer three RQs. The RQs investigate (i) demographic details in terms of frequency, types, and trends of research, (ii) phases of quantum service development lifecycle to derive a reference architecture for conception, modeling, assembly, and deployment of services, and (iii) The results identify a 4-phased development lifecycle along with quantum significant requirements (QSRs), various modeling notations, catalogue of patterns, programming languages, and deployment platforms that can be integrated in a layered reference architecture to engineer QCaaS.
Related papers
- Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms [50.573955644831386]
Quantum-enhanced Computer Vision (QeCV) is a new research field at the intersection of computer vision, machine learning and quantum computing.<n>It has high potential to transform how visual signals are processed and interpreted with the help of quantum computing.<n>This survey contributes to the existing literature on QeCV with a holistic review of this research field.
arXiv Detail & Related papers (2025-10-08T17:59:51Z) - Rethinking Services in the Quantum Age: The SOQ Paradigm [30.315360763732517]
Service-Oriented Quantum (SOQ) reimagines quantum software systems through the lens of classical service-oriented computing.<n>We define the foundational principles of SOQ, propose a layered technology stack to support its realization, and identify the key research and engineering challenges.<n>This approach is of vital importance for the advancement of quantum technology because it enables the scalable, modular, and interoperable integration of quantum computing into real-world software systems independently and without relying on a dedicated classical environment to manage quantum processing.
arXiv Detail & Related papers (2025-10-04T18:03:25Z) - A Survey of Quantum Transformers: Architectures, Challenges and Outlooks [82.4736481748099]
Quantum Transformers integrate the representational power of classical Transformers with the computational advantages of quantum computing.<n>Since 2022, research in this area has rapidly expanded, giving rise to diverse technical paradigms and early applications.<n>This paper presents the first comprehensive, systematic, and in-depth survey of quantum Transformer models.
arXiv Detail & Related papers (2025-04-04T05:40:18Z) - QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design [63.02824918725805]
Quantum computing is recognized for the significant speedup it offers over classical computing through quantum algorithms.<n>QCircuitBench is the first benchmark dataset designed to evaluate AI's capability in designing and implementing quantum algorithms.
arXiv Detail & Related papers (2024-10-10T14:24:30Z) - Quantum computing with Qiskit [1.1469455926249006]
We describe Qiskit, a software development kit for quantum information science.
We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components.
arXiv Detail & Related papers (2024-05-14T17:55:32Z) - Advancing Quantum Software Engineering: A Vision of Hybrid Full-Stack Iterative Model [5.465644852381506]
This paper proposes a hybrid full-stack iterative model that integrates quantum and classical computing.<n>It presents a comprehensive lifecycle for quantum software development, encompassing quantum-agnostic coding, testing, deployment, cloud computing services, orchestration, translation, execution, and interpretation phases.
arXiv Detail & Related papers (2024-03-18T11:18:33Z) - QCSHQD: Quantum computing as a service for Hybrid classical-quantum software development: A Vision [4.6103649840975365]
This study presents a blueprint for QCSHQD, designed to democratize access to QC resources for classical developers.
The vision of QCSHQD paves the way for groundbreaking innovations by addressing key challenges of hybridization between classical and quantum computers.
arXiv Detail & Related papers (2024-03-13T16:16:43Z) - Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing [56.61654656648898]
We propose a framework for a quantum computing-enhanced service ecosystem for simulation in manufacturing.
We analyse two high-value use cases with the aim of a quantitative evaluation of these new computing paradigms for industrially-relevant settings.
arXiv Detail & Related papers (2024-01-19T11:04:14Z) - The QUATRO Application Suite: Quantum Computing for Models of Human
Cognition [49.038807589598285]
We unlock a new class of applications ripe for quantum computing research -- computational cognitive modeling.
We release QUATRO, a collection of quantum computing applications from cognitive models.
arXiv Detail & Related papers (2023-09-01T17:34:53Z) - A Reference Architecture for Quantum Computing as a Service [0.0]
Quantum computers (QCs) aim to disrupt the statusquo of computing -- replacing traditional systems and platforms that are driven by digital circuits and modular software.
QCs that rely on quantum mechanics can achieve "quantum computational supremacy" over traditional, i.e., digital computing systems.
This research contributes by developing a reference architecture for enabling quantum computing as a service.
arXiv Detail & Related papers (2023-06-03T17:48:18Z) - Quantum Federated Learning with Quantum Data [87.49715898878858]
Quantum machine learning (QML) has emerged as a promising field that leans on the developments in quantum computing to explore large complex machine learning problems.
This paper proposes the first fully quantum federated learning framework that can operate over quantum data and, thus, share the learning of quantum circuit parameters in a decentralized manner.
arXiv Detail & Related papers (2021-05-30T12:19:27Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.