Multi-Qubit Quantum Communication for Image Transmission over Error Prone Channels
August 29th, 2025 (UTC +1)
Department of Computer and Information Sciences, University of Strathclyde
Dr. Anil Fernando received the B.Sc. (Hons.) degree (First Class) in electronics and telecommunication engineering from the University of Moratuwa, Sri Lanka, in 1995, and the M.Sc. in Communications (Distinction) from the Asian Institute of Technology, Bangkok, Thailand in 1997 and Ph.D. in Computer Science (Video Coding and Communications) from the University of Bristol, UK in 2001. He is a professor in Video Coding and Communications at the Department of Computer and Information Sciences, University of Strathclyde, UK. He leads the video coding and communication research team at Strathclyde. He has worked on major national and international multidisciplinary research projects and led most of them. He has published over 460 papers in international journals and conference proceedings and published a book on 3D video broadcasting. He has been working with all major EU broadcasters, BBC, and major European media companies/SMEs in the last decade in providing innovative media technologies for British and EU citizens. His main research interests are in Video coding and Communications, Machine Learning (ML) and Artificial Intelligence (AI), Semantic Communications, Quantum Communications, Signal Processing, Networking and Communications, Interactive Systems, Resource Optimizations in 6G, Distributed Technologies, Media Broadcasting and Quality of Experience (QoE).
Classical communication, driven by electromagnetic signals, has enabled advancements in consumer electronics, from 4G/5G networks to IoT ecosystems. However, emerging technologies like ultra-HD streaming, VR/AR, and massive IoT demand higher bandwidth and lower latency, pushing classical systems toward their fundamental limits, including the Shannon capacity bound. Challenges such as noise, interference, bandwidth scarcity, and energy inefficiency degrade performance, particularly in compressed image transmission, where artifacts and latency hinder real-time applications.
As networks evolve toward 6G, these limitations highlight the need for alternative paradigms. Quantum communication, leveraging multi-qubit systems, offers a transformative solution by enabling efficient, high-capacity data transfer through quantum entanglement and superposition. Unlike classical methods, quantum communication can overcome Shannon’s limit, reduce noise susceptibility, and enhance efficiency, addressing critical gaps in next-generation consumer electronics. This shift could revolutionize fields like telepresence, gaming, and IoT, making quantum communication a vital frontier for future technology.
Quantum communication presents a revolutionary approach to overcoming the limitations of classical systems by leveraging quantum principles such as superposition and entanglement. While single-qubit quantum encoding has shown promise in improving image transmission quality, multi-qubit systems offer even greater advantages. By distributing information across multiple quantum states in a high-dimensional Hilbert space, multi-qubit encoding enhances noise resilience, reduces error susceptibility, and improves bandwidth efficiency, critical for high-quality media transmission in noisy or interference-heavy environments.
The primary goal of this work is to pioneer a multi-qubit quantum communication system specifically optimized for compressed image transmission, addressing key challenges in consumer electronics such as bandwidth constraints, noise degradation, and latency. Unlike prior research, which has not explored multi-qubit encoding for media transmission, this study introduces an adaptive multi-qubit framework that dynamically adjusts qubit allocation based on real-time channel conditions, optimizing both performance and computational efficiency.
The proposed system integrates JPEG/HEIF compression with optional polar coding for error protection before multi-qubit encoding. After transmission through a noisy quantum channel, the encoded data is decoded and reconstructed, demonstrating superior PSNR and SSIM metrics compared to classical and single-qubit methods. Higher qubit configurations exhibit greater noise resilience but require more resources; thus, the adaptive approach intelligently balances image quality and efficiency, making it ideal for bandwidth-limited scenarios.
By advancing multi-qubit quantum communication, this research bridges a critical gap in high-fidelity image transmission, paving the way for next-generation applications in telepresence, AR/VR, and real-time media streaming, where reliability and efficiency are paramount.
Learning quantum communication concepts is becoming increasingly important for professionals and researchers across multiple disciplines, particularly as quantum technologies advance. Engineers and developers in quantum networking, cryptography, and high-speed data transmission must understand multi-qubit systems to optimize quantum channel capacity and minimize decoherence. Quantum computing and AI researchers leverage entangled states for secure, high-fidelity image transmission, while IoT and edge computing specialists explore quantum-enhanced protocols for distributed sensing and real-time data sharing. Additionally, cybersecurity experts rely on quantum key distribution (QKD) and semantic-aware encryption to protect sensitive visual data. Scholars, policymakers, and industry leaders must also grasp these principles to drive standardization and regulatory frameworks for quantum communication infrastructure.
This symposium will explore how multi-qubit quantum communication systems can revolutionize image transmission by exploiting superposition-based quantum representation and error-correction techniques over error prone channels. We will examine how quantum protocols can enhance bandwidth efficiency by encoding high-dimensional image data into multi-qubit states, drastically reducing transmission overhead. The symposium will also address key challenges, such as quantum decoherence, noise resilience, and scalability, while presenting cutting-edge solutions like multi-quantum communications.
The main topics of this symposium are listed below.
Meanwhile, submissions aligned with the overall conference theme are also welcome.
Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. Please submit your papers in English.
Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission. Paper Template Download
Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to [email protected]
Process | Date & Time |
---|---|
Submission Deadline | August 22, 2025 |
Symposium Date | August 29, 2025 |
Notification of Acceptance | 7-20 workdays |
Accepted papers of the symposium will be published in Theoretical and Natural Science (TNS) (Print ISSN 2753-8818), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.
Title: Theoretical and Natural Science (TNS)
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818, 2753-8826 (electronic)
This symposium is organized by CONF-APMM 2025 and it will independently proceed the submission and publication process.
* The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.
Room LT507, Livingston Tower, Department of Computer and Information Sciences, University of Strathclyde, Glasgow, UK
If you want to attend the workshop on-site, please email [email protected]. The symposium seats are limited. Both contributors and non-contributors who wish to participate in the symposium in person need to apply to the symposium organizers.
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