Quantum Programming Language: A Systematic Review of Research Topic and Top Cited Languages

Garhwal, Sunita; Ghorani, Maryam; Ahmad, Amir

doi:10.1007/s11831-019-09372-6

Cited by 33 publications

(17 citation statements)

References 37 publications

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“…For example, QuNetSim [43] as a Python software framework manages quantum circuits to simulate processing and transmission of quantum information via quantum networks. In order to enable quantum software applications to utilise quantum hardware, there is a need for quantum code compilers that can translate high-level computational instructions into machine translated code to control quantum hardware [4] [46]. As a typical example of such compilation, the solutions in [5] [8] receive compiled code that can be executed or simulated on quantum platforms to enable quantum processing for optimising solutions regarding unstructured data searching, parallel processing, and nature inspired computing.…”

Section: Quantum Computing Systemsmentioning

confidence: 99%

“…As a typical example of such compilation, the solutions in [5] [8] receive compiled code that can be executed or simulated on quantum platforms to enable quantum processing for optimising solutions regarding unstructured data searching, parallel processing, and nature inspired computing. In recent years, a plethora of research and development has emerged that focused on quantum algorithms [46] and programming languages to address the above-mentioned computational challenges effectively and efficiently. Despite the significance of quantum programming languages to produce executable specifications for quantum hardware; there is a need for overall engineering lifecycle(s) that goes beyond level of source code to specify, execute, validate, and evolve software-intensive system based on required functionality and desired quality [18] [19].…”

Section: Quantum Computing Systemsmentioning

confidence: 99%

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Software Architecture for Quantum Computing Systems -- A Systematic Review

Khan¹,

Ahmad²,

Waseem³

et al. 2022

Preprint

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Quantum computing systems rely on the principles of quantum mechanics to perform a multitude of computationally challenging tasks more efficiently than their classical counterparts. The architecture of software-intensive systems can empower architects who can leverage architecturecentric processes, practices, description languages, etc., to model, develop, and evolve quantum computing software (quantum software for short) at higher abstraction levels. We conducted a systematic literature review (SLR) to investigate (i) architectural process, (ii) modeling notations, (iii) architecture design patterns, (iv) tool support, and (iv) challenging factors for quantum software architecture. Results of the SLR indicate that quantum software represents a new genre of software-intensive systems; however, existing processes and notations can be tailored to derive the architecting activities and develop modeling languages for quantum software. Quantum bits (Qubits) mapped to Quantum gates (Qugates) can be represented as architectural components and connectors that implement quantum software. Tool-chains can incorporate reusable knowledge and human roles (e.g., quantum domain engineers, quantum code developers) to automate and customize the architectural process. Results of this SLR can facilitate researchers and practitioners to develop new hypotheses to be tested, derive reference architectures, and leverage architecture-centric principles and practices to engineer emerging and next generations of quantum software.

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Section: Quantum Computing Systemsmentioning

confidence: 99%

Section: Quantum Computing Systemsmentioning

confidence: 99%

Software Architecture for Quantum Computing Systems -- A Systematic Review

Khan¹,

Ahmad²,

Waseem³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Quantum computers have been simultaneously developed with various quantum programming languages, such as Q# (Svore et al, 2018) or QASM (Cross et al, 2017), among others. These programming languages include abstractions with which to build quantum gates and other quantum operations (Garhwal et al, 2019). Most of these programming languages are open source and can be used to code programs that are simulated or executed in remote quantum computers in the cloud, such as the IBM Q experience (IBM, 2020).…”

Section: Quantum Computingmentioning

confidence: 99%

QRev: migrating quantum code towards hybrid information systems

2021

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Quantum computing is now a reality, and its incomparable computational power has led companies to show a great interest in being able to work with quantum software in order to support part of their current and future business operations. However, the quantum computing paradigm differs significantly from its classical counterparts, which has brought about the need to revolutionise how the future software is designed, built, and operated in order to work with quantum computers. Since companies cannot discard all their current (and probably mission-critical) information systems, they must adapt their classical information systems to new specific quantum applications, thus evolving towards hybrid information systems. Unfortunately, there are no specific methods with which to deal with this challenge. We believe that reengineering, and more specifically, software modernisation using model-driven engineering principles, could be useful as regard migrating classical systems and existing quantum programs towards hybrid information systems. This paper, therefore, presents QRev, a reverse engineering tool that analyses quantum programs developed in Q# in order to identify its components and interrelationships, and then generates abstract models that can be used in software modernisation processes. The platform-independent models are generated according to the Knowledge Discovery Metamodel (KDM) standard. QRev is validated in a case study involving five quantum programs in order to demonstrate its effectiveness and scalability. The main implication of the study is that QRev can be used in order to attain KDM models, which can subsequently be employed to restructure or add new quantum functionality at a higher abstraction level, i.e. independently of the specific quantum technology.

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“…Segundo [Svore and Troyer 2016], o desenvolvimento e estudo de linguagens de programac ¸ão e bibliotecas quânticas acelera o desenvolvimento de novos algoritmos quânticos. A pesquisa na área das linguagens de programac ¸ão quânticas está em evoluc ¸ão e espera-se que diversas linguagens sejam desenvolvidas antes mesmo da disseminac ¸ão do computador quântico [Garhwal et al 2019]. Apesar do reflexo positivo desse crescimento, aumenta-se a dificuldade de estudantes e pesquisadores decidirem qual linguagem utilizar, se perdendo na documentac ¸ão ou simplesmente não sabendo por onde comec ¸ar [LaRose 2019].…”

Section: Simonunclassified

“…Em [Garhwal et al 2019], os autores realizaram uma pesquisa com o objetivo de comparar linguagens de programac ¸ão quânticas de alto nível, levando em considerac ¸ão suas características e funcionalidades. A pesquisa tem como objetivo a comparac ¸ão de linguagens implementadas em hardware quântico, não abordando simuladores e emuladores quânticos.…”

Section: Trabalhos Relacionadosunclassified

Análise de desempenho de linguagens de programação e bibliotecas quânticas

Viegas

Müller

2021

Anais Do I Workshop De Comunicação E Computação Quântica (WQuantum 2021)

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Nos últimos anos, diversas ferramentas de software como linguagens de programação, bibliotecas e simuladores foram desenvolvidas para auxiliar o desenvolvimento de novos algoritmos quânticos, tornando difícil a escolha de estudantes e cientistas sobre o software quântico a ser utilizado. O presente artigo apresenta uma análise de desempenho de linguagens de programação e bibliotecas quânticas utilizando algoritmos quânticos presentes na literatura. Para atingir os objetivos deste artigo, foi realizada uma pesquisa experimental utilizando a técnica stopwatch para a coleta de dados através de uma abordagem quantitativa. Por fim, apresentam-se a análise e discussão de resultados, considerações finais e propostas de trabalhos futuros.

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Quantum Programming Language: A Systematic Review of Research Topic and Top Cited Languages

Cited by 33 publications

References 37 publications

Software Architecture for Quantum Computing Systems -- A Systematic Review

Software Architecture for Quantum Computing Systems -- A Systematic Review

QRev: migrating quantum code towards hybrid information systems

Análise de desempenho de linguagens de programação e bibliotecas quânticas

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