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Latest Research in Quantum Computing
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Latest Research in Quantum Computing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Quantum Science and Technology".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 3883

Special Issue Editor

Prof. Dr. Hai Jiang

E-Mail Website
Guest Editor
Department of Computer Science, College of Engineering and Computer Science, Arkansas State University, Jonesboro, AR 72401, USA
Interests: cloud computing; parallel & distributed systems; high performance computing & networking; big data; application, computer & network security; cryptography; quantum computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Quantum computing is an emerging technology that can perform high intensive computing tasks, which are needed in different areas, such as a data search from a high volume data repository, prime factorization, number theory, cybersecurity, polynomial evaluation, interpolation, machine learning, artificial intelligence and many more applications.

While quantum computing is still seeking its shape, its effect is seen in making magnificent strides in the field of computing, bringing into bare a new dimension of computing. Nevertheless, just like any other concept or field, it has some challenges and a lot of research and work need to be conducted to realize its capabilities and benefits.

This Special Issue focuses on the recent advances, and challenges, in developing large-scale, fault-tolerant quantum computers, capable of solving tomorrow’s growing computational needs. Original unpublished papers and review articles are invited on the following topics:

  • Quantum algorithms
  • Quantum circuits;
  • Quantum cryptography;
  • Quantum computation;
  • Quantum computer architecture;
  • Quantum information;
  • Quantum machine learning;
  • Quantum networks and communication;
  • Quantum programming;
  • Quantum simulation;
  • Complex dynamics;
  • Open quantum dynamics;
  • Computational complexity;
  • Quantum chaos;
  • Quantum complexity theory;
  • Quantum maps;
  • Quantum dots.

Prof. Dr. Hai Jiang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantum computing
  • quantum networks
  • quantum applications
  • quantum software
  • quantum hardware
  • quantum cryptography
  • quantum simulation
  • quantum metrology

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Published Papers (2 papers)

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Research

22 pages, 650 KiB  
Article
A Graph-Based Approach for Modelling Quantum Circuits
by Diego Alonso, Pedro Sánchez and Bárbara Álvarez
Appl. Sci. 2023, 13(21), 11794; https://doi.org/10.3390/app132111794 - 28 Oct 2023
Cited by 1 | Viewed by 1439
Abstract
A crucial task for the systematic application of model-driven engineering techniques in the development of quantum software is the definition of metamodels, as a first step towards automatic code generation and integration with other tools. The importance is even greater when considering recent [...] Read more.
A crucial task for the systematic application of model-driven engineering techniques in the development of quantum software is the definition of metamodels, as a first step towards automatic code generation and integration with other tools. The importance is even greater when considering recent work where the first extensions to UML for modelling quantum circuits are emerging and the characterisation of these extensions in terms of their suitability for a model-driven approach becomes unavoidable. After reviewing the related work, this article proposes a unified metamodel for modelling quantum circuits, together with five strategies for its use and some examples of its application. The article also provides a set of constraints for using the identified strategies, a set of procedures for transforming the models between the strategies, and an analysis of the suitability of each strategy for performing common tasks in a model-driven quantum software development environment. All of these resources will enable the quantum software community to speak the same language and use the same set of abstractions, which are key to furthering the development of tools to be built as part of future model-driven quantum software development frameworks. Full article
(This article belongs to the Special Issue Latest Research in Quantum Computing)
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15 pages, 365 KiB  
Article
Optimized Implementation and Analysis of CHAM in Quantum Computing
by Yujin Yang, Kyungbae Jang, Anubhab Baksi and Hwajeong Seo
Appl. Sci. 2023, 13(8), 5156; https://doi.org/10.3390/app13085156 - 20 Apr 2023
Cited by 1 | Viewed by 1651
Abstract
A quantum computer capable of running the Grover search algorithm, which reduces the complexity of brute-force attacks by a square root, has the potential to undermine the security strength of symmetric-key cryptography and hash functions. Recently, studies on quantum approaches have proposed analyzing [...] Read more.
A quantum computer capable of running the Grover search algorithm, which reduces the complexity of brute-force attacks by a square root, has the potential to undermine the security strength of symmetric-key cryptography and hash functions. Recently, studies on quantum approaches have proposed analyzing potential quantum attacks using the Grover search algorithm in conjunction with optimized quantum circuit implementations for symmetric-key cryptography and hash functions. Analyzing quantum attacks on a cipher (i.e., quantum cryptanalysis) and estimating the necessary quantum resources are related to evaluating post-quantum security for the target cryptography algorithms. In this paper, we revisit quantum implementations of CHAM block cipher, an ultra lightweight cipher, with a focus on optimizing the linear operations in its key schedule. We optimized the linear equations of CHAM as matrices by applying novel optimized decomposition techniques. Using the improved CHAM quantum circuits, we estimate the cost of Grover’s key search and evaluate the post-quantum security strength with further reduced costs. Full article
(This article belongs to the Special Issue Latest Research in Quantum Computing)
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