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

2019 ◽  
Author(s):  
Sunita Garhwal ◽  
Maryam Ghorani ◽  
Amir Ahmad
Keyword(s):  
Systematic Review ◽  
Programming Language ◽  
Research Topic ◽  
Quantum Programming

Quantum Programming Language NDQJava

2008 ◽  
Vol 19 (1) ◽  
pp. 1-8
Author(s):  
Jia-Fu XU
Keyword(s):  
Programming Language ◽  
Quantum Programming

Towards a quantum programming language

2004 ◽  
Vol 14 (4) ◽  
pp. 527-586 ◽  
Author(s):  
PETER SELINGER
Keyword(s):  
Programming Language ◽  
Quantum Algorithms ◽  
Denotational Semantics ◽  
Quantum Circuit ◽  
Structured Data ◽  
Data Types ◽  
Simple Quantum ◽  
Recursive Procedures ◽  
Quantum Programming ◽  
High Level

We propose the design of a programming language for quantum computing. Traditionally, quantum algorithms are frequently expressed at the hardware level, for instance in terms of the quantum circuit model or quantum Turing machines. These approaches do not encourage structured programming or abstractions such as data types. In this paper, we describe the syntax and semantics of a simple quantum programming language with high-level features such as loops, recursive procedures, and structured data types. The language is functional in nature, statically typed, free of run-time errors, and has an interesting denotational semantics in terms of complete partial orders of superoperators.

scholarly journals OpenQL: A Portable Quantum Programming Framework for Quantum Accelerators

2022 ◽  
Vol 18 (1) ◽  
pp. 1-24
Author(s):  
N. Khammassi ◽  
I. Ashraf ◽  
J. V. Someren ◽  
R. Nane ◽  
A. M. Krol ◽  
...  
Keyword(s):  
Programming Language ◽  
Quantum Algorithms ◽  
Quantum Circuit ◽  
Quantum Operations ◽  
Programming Framework ◽  
Quantum Processor ◽  
Control Electronics ◽  
Quantum Programming ◽  
High Level ◽  
Programming Interface

With the potential of quantum algorithms to solve intractable classical problems, quantum computing is rapidly evolving, and more algorithms are being developed and optimized. Expressing these quantum algorithms using a high-level language and making them executable on a quantum processor while abstracting away hardware details is a challenging task. First, a quantum programming language should provide an intuitive programming interface to describe those algorithms. Then a compiler has to transform the program into a quantum circuit, optimize it, and map it to the target quantum processor respecting the hardware constraints such as the supported quantum operations, the qubit connectivity, and the control electronics limitations. In this article, we propose a quantum programming framework named OpenQL, which includes a high-level quantum programming language and its associated quantum compiler. We present the programming interface of OpenQL, we describe the different layers of the compiler and how we can provide portability over different qubit technologies. Our experiments show that OpenQL allows the execution of the same high-level algorithm on two different qubit technologies, namely superconducting qubits and Si-Spin qubits. Besides the executable code, OpenQL also produces an intermediate quantum assembly code, which is technology independent and can be simulated using the QX simulator.

scholarly journals The Arrow Calculus as a Quantum Programming Language

2009 ◽  
pp. 379-393 ◽  
Author(s):  
Juliana Kaizer Vizzotto ◽  
André Rauber Du Bois ◽  
Amr Sabry
Keyword(s):  
Programming Language ◽  
Quantum Programming

scholarly journals Mental health of health workers in Brazil after the COVID-19 pandemic: A systematic review study

2021 ◽  
Vol 2 (4) ◽  
pp. 520-531
Author(s):  
Rosiane Pinheiro Palheta
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Health Professionals ◽  
Critical Analysis ◽  
Health Workers ◽  
Research Topic ◽  
Economic Context ◽  
Review Study

The work sought, through a systematic review research, to study the production on mental health of health workers in the post covid-19 pandemic. Thus, a review of the narrative was carried out, which is characterized by critical analysis of the bibliographic production of the research topic, considering the period chosen for the study. A total of 987 works were found, 891 were excluded because 96 of which the abstracts were read, 19 were selected for the sample that actually dealt with the mental health of health professionals and only 11 were selected to compose the study because it was about post impacts. pandemic. The results showed that the mental health of health workers has always been a reality due to the precariousness of the system, however, it was aggravated by the health emergency and the sociopolitical and economic context and an ongoing necropolitics in the country.

scholarly journals Formalization of Metatheory of the Quipper Quantum Programming Language in a Linear Logic

2019 ◽  
Vol 63 (4) ◽  
pp. 967-1002 ◽  
Author(s):  
Mohamed Yousri Mahmoud ◽  
Amy P. Felty
Keyword(s):  
Programming Language ◽  
Linear Logic ◽  
Quantum Programming

Towards Implementation of a Generalized Architecture for High-Level Quantum Programming Language

2017 ◽  
Vol 56 (8) ◽  
pp. 2376-2412 ◽  
Author(s):  
El-Mahdy M. Ameen ◽  
Hesham A. Ali ◽  
Mofreh M. Salem ◽  
Mahmoud Badawy
Keyword(s):  
Programming Language ◽  
Quantum Programming ◽  
High Level

scholarly journals Intersection of Data Science and Smart Destinations: A Systematic Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Alexander Aguirre Montero ◽  
José Antonio López-Sánchez
Keyword(s):  
Systematic Review ◽  
Data Science ◽  
Open Data ◽  
Research Topic ◽  
Tourism Marketing ◽  
Research Areas ◽  
Current Trends ◽  
Smart Card Data ◽  
Challenges And Opportunities ◽  
Smart Data

This systematic review adopts a formal and structured approach to review the intersection of data science and smart tourism destinations in terms of components found in previous research. The study period corresponds to 1995–2021 focusing the analysis mainly on the last years (2015–2021), identifying and characterizing the current trends on this research topic. The review comprises documentary research based on bibliometric and conceptual analysis, using the VOSviewer and SciMAT software to analyze articles from the Web of Science database. There is growing interest in this research topic, with more than 300 articles published annually. Data science technologies on which current smart destinations research is based include big data, smart data, data analytics, social media, cloud computing, the internet of things (IoT), smart card data, geographic information system (GIS) technologies, open data, artificial intelligence, and machine learning. Critical research areas for data science techniques and technologies in smart destinations are public tourism marketing, mobility-accessibility, and sustainability. Data analysis techniques and technologies face unprecedented challenges and opportunities post-coronavirus disease-2019 (COVID-19) to build on the huge amount of data and a new tourism model that is more sustainable, smarter, and safer than those previously implemented.

scholarly journals Exploring the “Dark Matter” of Social Interaction: Systematic Review of a Decade of Research in Spontaneous Interpersonal Coordination

2021 ◽  
Vol 12 ◽  
Author(s):  
Julia Ayache ◽  
Andy Connor ◽  
Stefan Marks ◽  
Daria J. Kuss ◽  
Darren Rhodes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Latent Dirichlet Allocation ◽  
Interdisciplinary Approach ◽  
Research Topic ◽  
Rapid Expansion ◽  
Dynamical Process ◽  
Interpersonal Coordination ◽  
Theoretical Frameworks ◽  
Research Fields ◽  
Holistic Understanding

Interpersonal coordination is a research topic that has attracted considerable attention this last decade both due to a theoretical shift from intra-individual to inter-individual processes and due to the development of new methods for recording and analyzing movements in ecological settings. Encompassing spatiotemporal behavioral matching, interpersonal coordination is considered as “social glue” due to its capacity to foster social bonding. However, the mechanisms underlying this effect are still unclear and recent findings suggest a complex picture. Goal-oriented joint action and spontaneous coordination are often conflated, making it difficult to disentangle the role of joint commitment from unconscious mutual attunement. Consequently, the goals of the present article are twofold: (1) to illustrate the rapid expansion of interpersonal coordination as a research topic and (2) to conduct a systematic review of spontaneous interpersonal coordination, summarizing its latest developments and current challenges this last decade. By applying Rapid Automatic Keyword Extraction and Latent Dirichlet Allocation algorithms, keywords were extracted from PubMed and Scopus databases revealing the large diversity of research topics associated with spontaneous interpersonal coordination. Using the same databases and the keywords “behavioral matching,” “interactional synchrony,” and “interpersonal coordination,” 1,213 articles were identified, extracted, and screened following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. A total of 19 articles were selected using the following inclusion criteria: (1) dynamic and spontaneous interactions between two unacquainted individuals (2) kinematic analyses, and (3) non-clinical and non-expert adult populations. The results of this systematic review stress the proliferation of various definitions and experimental paradigms that study perceptual and/or social influences on the emergence of spontaneous interpersonal coordination. As methods and indices used to quantify interpersonal coordination differ from one study to another, it becomes difficult to establish a coherent picture. This review highlights the need to reconsider interpersonal coordination not as the pinnacle of social interactions but as a complex dynamical process that requires cautious interpretation. An interdisciplinary approach is necessary for building bridges across scattered research fields through opening a dialogue between different theoretical frameworks and consequently provides a more ecological and holistic understanding of human social cognition.

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