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Advances in Quantum Information Processing: Theory, Methods and Emerging Applications
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Advances in Quantum Information Processing: Theory, Methods and Emerging Applications

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Theory and Methodology".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 900

Special Issue Editors

Dr. Wenbin Yu

E-Mail Website
Guest Editor
School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: quantum information processing; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Yadang Chen

E-Mail Website
Guest Editor
School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: continuous parameters; initialization; prompt learning; trigger token
Dr. Chengjun Zhang

E-Mail Website
Guest Editor
School of Computer Science, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: complex networks; information filtering; deep Learning

Special Issue Information

Dear Colleagues,

Quantum Information Processing (QIP) has evolved from foundational studies of qubits and quantum algorithms into a broad interdisciplinary field encompassing continuous-variable systems, hybrid quantum–classical architectures, and domain-specific applications such as secure communication, quantum sensing, and quantum-enhanced optimization. The second volume of this Special Issue seeks cutting-edge contributions that push the boundaries of theory, advance experimental implementations, and demonstrate real-world impacts across science and engineering.

Topics of Interest:

We invite original research articles and high-quality reviews in, but not limited to, the following areas:

  • Quantum Algorithms and Complexity: Novel algorithms, complexity analyses, and quantum-speedup benchmarks;
  • Error Correction and Fault Tolerance: New codes, fault-tolerant architectures, and error-suppression techniques;
  • Continuous-Variable and Hybrid Systems: Gaussian protocols, non-Gaussian resources, and hybrid discrete–continuous schemes;
  • Quantum Communication and Key Distribution: Next-generation QKD protocols, network architectures, and security proofs;
  • Quantum Machine Learning and Optimization: Variational circuits, QUBO formalisms, and domain-specific heuristics;
  • Emerging Applications: Quantum sensing, imaging, healthcare, finance, energy systems, and beyond.

Dr. Wenbin Yu
Dr. Yadang Chen
Dr. Chengjun Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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. Information is an international peer-reviewed open access monthly 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 1800 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 machine learning
  • quantum information
  • quantum computation
  • quantum communication
  • machine learning

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Related Special Issue

Published Papers (2 papers)

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Research

7 pages, 236 KB  
Article
Topological Formalism for Quantum Entanglement via B3 and S0 Mappings
by Sergio Manzetti
Information 2025, 16(11), 997; https://doi.org/10.3390/info16110997 - 17 Nov 2025
Viewed by 233
Abstract
We present two propositions and a theorem to establish a foundational framework for a novel perspective on quantum information framed in terms of differential geometry and topology. In particular, we show that the mapping to S0 naturally encodes the binary outcomes of [...] Read more.
We present two propositions and a theorem to establish a foundational framework for a novel perspective on quantum information framed in terms of differential geometry and topology. In particular, we show that the mapping to S0 naturally encodes the binary outcomes of entangled quantum states, providing a minimal yet powerful abstraction of quantum duality. Building on this, we introduce the concept of a discrete fiber bundle to represent quantum steering and correlations, where each fiber corresponds to the two possible measurement outcomes of entangled qubits. This construction offers a new topological viewpoint on quantum information, distinct from traditional Hilbert-space or metric-based approaches. The present work serves as a preliminary formulation of this framework, with further developments to follow. Full article
(This article belongs to the Special Issue Advances in Quantum Information Processing: Theory, Methods and Emerging Applications)
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28 pages, 837 KB  
Article
A Comparative Study of Quantum Haar Wavelet and Quantum Fourier Transforms for Quantum Image Transmission
by Udara Jayasinghe, Thanuj Fernando and Anil Fernando
Information 2025, 16(11), 962; https://doi.org/10.3390/info16110962 - 6 Nov 2025
Viewed by 451
Abstract
Quantum communication has achieved significant performance gains compared to classical systems but remains sensitive to channel noise and decoherence. These limitations become especially critical in quantum image transmission, where high-dimensional visual data must be preserved with both structural fidelity and robustness. In this [...] Read more.
Quantum communication has achieved significant performance gains compared to classical systems but remains sensitive to channel noise and decoherence. These limitations become especially critical in quantum image transmission, where high-dimensional visual data must be preserved with both structural fidelity and robustness. In this context, transform-based quantum encoding methods have emerged as promising approaches, yet their relative performance under noisy conditions has not been fully explored. This paper presents a comparative study of two such methods, the quantum Fourier transform (QFT) and the quantum Haar wavelet transform (QHWT), within an image transmission framework. The process begins with source coding (JPEG/HEIF), followed by channel coding to enhance error resilience. The bitstreams are then mapped into quantum states using variable qubit encoding and transformed using either QFT or QHWT prior to transmission over noisy quantum channels. At the receiver, the corresponding decoding operations are applied to reconstruct the images. Simulation results demonstrate that the QFT achieves superior performance under noisy conditions, consistently delivering higher Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Universal Quality Index (UQI) values across different qubit sizes and image formats compared to the QHWT. This advantage arises because QFT uniformly spreads information across all basis states, making it more resilient to noise. By contrast, QHWT generates localized coefficients that capture structural details effectively but become highly vulnerable when dominant coefficients are corrupted. Consequently, while QHWT emphasizes structural fidelity, QFT provides superior robustness, underscoring a fundamental trade-off in quantum image communication. Full article
(This article belongs to the Special Issue Advances in Quantum Information Processing: Theory, Methods and Emerging Applications)
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