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Electronics
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New Sights in Quantum Computing: Circuits, Algorithms, and Applications
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New Sights in Quantum Computing: Circuits, Algorithms, and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 638

Special Issue Editors

Dr. Zhao Dou

E-Mail Website
Guest Editor
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: quantum computing; cryptography; quantum information processing; IoT security
Dr. Jinjing Shi

E-Mail Website
Guest Editor
School of Computer Science and Engineering, Central South University, Changsha 410082, China
Interests: quantum computing; quantum machine learning; quantum cryptography; network and information security
Special Issues, Collections and Topics in MDPI journals
Dr. Tailong Xiao

E-Mail Website
Guest Editor
Institute for Quantum Sensing and Information Processing, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: quantum information and quantum computing; quantum sensing; quantum artificial intelligence

Special Issue Information

Dear Colleagues,

The Special Issue titled "New Sights in Quantum Computing: Circuits, Algorithms, and Applications" delves into the cutting-edge advancements and explorations within the scope of quantum computing. This issue aims to cover a broad spectrum of topics ranging from the design and optimization of quantum circuits to the development of novel algorithms that harness the unique properties of quantum mechanics. Contributions will explore how these advancements can be translated into practical applications across various fields such as cryptography, material science, drug discovery, and complex system simulation. By bringing together leading researchers and practitioners, this special issue intends not only to highlight recent breakthroughs but also to address the challenges and potential pathways for future research in making quantum computing more accessible and applicable. It seeks to bridge the gap between theoretical foundations and practical implementations, offering insights into how quantum technologies can revolutionize computing paradigms.

Dr. Zhao Dou
Dr. Jinjing Shi
Dr. Tailong Xiao
Guest Editors

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. Electronics 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 circuits
  • quantum algorithms
  • quantum applications
  • quantum cryptography
  • complex system simulation
  • quantum optimization
  • theoretical foundations

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Published Papers (1 paper)

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Research

18 pages, 1956 KB  
Article
Two Novel Quantum Steganography Algorithms Based on LSB for Multichannel Floating-Point Quantum Representation of Digital Signals
by Meiyu Xu, Dayong Lu, Youlin Shang, Muhua Liu and Songtao Guo
Electronics 2025, 14(14), 2899; https://doi.org/10.3390/electronics14142899 - 20 Jul 2025
Viewed by 365
Abstract
Currently, quantum steganography schemes utilizing the least significant bit (LSB) approach are primarily optimized for fixed-point data processing, yet they encounter precision limitations when handling extended floating-point data structures owing to quantization error accumulation. To overcome precision constraints in quantum data hiding, the [...] Read more.
Currently, quantum steganography schemes utilizing the least significant bit (LSB) approach are primarily optimized for fixed-point data processing, yet they encounter precision limitations when handling extended floating-point data structures owing to quantization error accumulation. To overcome precision constraints in quantum data hiding, the EPlsb-MFQS and MVlsb-MFQS quantum steganography algorithms are constructed based on the LSB approach in this study. The multichannel floating-point quantum representation of digital signals (MFQS) model enhances information hiding by augmenting the number of available channels, thereby increasing the embedding capacity of the LSB approach. Firstly, we analyze the limitations of fixed-point signals steganography schemes and propose the conventional quantum steganography scheme based on the LSB approach for the MFQS model, achieving enhanced embedding capacity. Moreover, the enhanced embedding efficiency of the EPlsb-MFQS algorithm primarily stems from the superposition probability adjustment of the LSB approach. Then, to prevent an unauthorized person easily extracting secret messages, we utilize channel qubits and position qubits as novel carriers during quantum message encoding. The secret message is encoded into the signal’s qubits of the transmission using a particular modulo value rather than through sequential embedding, thereby enhancing the security and reducing the time complexity in the MVlsb-MFQS algorithm. However, this algorithm in the spatial domain has low robustness and security. Therefore, an improved method of transferring the steganographic process to the quantum Fourier transformed domain to further enhance security is also proposed. This scheme establishes the essential building blocks for quantum signal processing, paving the way for advanced quantum algorithms. Compared with available quantum steganography schemes, the proposed steganography schemes achieve significant improvements in embedding efficiency and security. Finally, we theoretically delineate, in detail, the quantum circuit design and operation process. Full article
(This article belongs to the Special Issue New Sights in Quantum Computing: Circuits, Algorithms, and Applications)
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