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Advances in quantum communications, computing, cryptography and sensing

Soon Xin Ng, Andrea Conti, Gui‐Lu Long, Péter Müller, A.M. Sayeed, Jinhong Yuan, Lajos Hanzo

Published Feb 5, 2020• 0 citations
OpenAlex

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With the advancements in satellite communication, there arises a demand for the secure transmission of satellite and remote sensing images to the ground monitoring stations which has significant challenges due to the increased threat of cyber-attacks and the sensitive nature of those images. Existing classical cryptography methods fail to meet the advanced security demands. Thus, there arises a need for advanced cryptography techniques which ensure secure transmission of data in satellite communication. Recent advancements in quantum computing and research have shown that leveraging quantum mechanics and principles enhances security. We propose a novel quantum-based image encryption technique for securing satellite and remote sensing images during transmission named QCrypt. QCrypt utilizes the power of quantum chaotic maps, classic chaotic maps, and DNA encoding techniques to ensure the security of the images. QCrypt has been tested using a remote sensing image dataset and achieved increased performance in terms of resistance to histogram analysis, differential attacks, and chosen- plaintext attacks compared to traditional encryption methods. Our approach addresses the critical need for secure satellite data transmission and the use of quantum-based encryption to meet security demands.

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A Suite for Testing and Debugging Quantum Programs", addresses an underdeveloped area of research in the current scope of quantum computing: testing and debugging quantum programs.This work makes a significant contribution not only to the future of quantum software development but also more broadly to the advancement of the field of quantum computing, as software tools are critical to maturing from the current NISQ (noisy intermediate-scale quantum) era to the FTQC (fault-tolerant quantum computation) era.Quantum technology has been rapidly evolving, as seen through the significant advances in quantum computing, sensing, cryptography, and communication.Quantum technology is transitioning from experimental prototypes to more practical, yet still limited, applications.These advances offer the prospect of unprecedented computational capabilities for specific tasks like optimization, chemical simulation, and cryptography but are hindered by challenges such as error rates, qubit coherence times, and scalability.All of these problems are being addressed by physicists and engineers.One area receiving far too little attention is the emerging field of quantum software engineering.

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With the advancements in satellite communication, there arises a demand for the secure transmission of satellite and remote sensing images to the ground monitoring stations which has significant challenges due to the increased threat of cyber-attacks and the sensitive nature of those images. Existing classical cryptography methods fail to meet the advanced security demands. Thus, there arises a need for advanced cryptography techniques which ensure secure transmission of data in satellite communication. Recent advancements in quantum computing and research have shown that leveraging quantum mechanics and principles enhances security. We propose a novel quantum-based image encryption technique for securing satellite and remote sensing images during transmission named QCrypt. QCrypt utilizes the power of quantum chaotic maps, classic chaotic maps, and DNA encoding techniques to ensure the security of the images. QCrypt has been tested using a remote sensing image dataset and achieved increased performance in terms of resistance to histogram analysis, differential attacks, and chosen- plaintext attacks compared to traditional encryption methods. Our approach addresses the critical need for secure satellite data transmission and the use of quantum-based encryption to meet security demands.
A Suite for Testing and Debugging Quantum Programs", addresses an underdeveloped area of research in the current scope of quantum computing: testing and debugging quantum programs.This work makes a significant contribution not only to the future of quantum software development but also more broadly to the advancement of the field of quantum computing, as software tools are critical to maturing from the current NISQ (noisy intermediate-scale quantum) era to the FTQC (fault-tolerant quantum computation) era.Quantum technology has been rapidly evolving, as seen through the significant advances in quantum computing, sensing, cryptography, and communication.Quantum technology is transitioning from experimental prototypes to more practical, yet still limited, applications.These advances offer the prospect of unprecedented computational capabilities for specific tasks like optimization, chemical simulation, and cryptography but are hindered by challenges such as error rates, qubit coherence times, and scalability.All of these problems are being addressed by physicists and engineers.One area receiving far too little attention is the emerging field of quantum software engineering.
This comprehensive review examines the latest advances in quantum technologies across three interconnected domains: quantum computing (NISQ devices, variational quantum algorithms, and quantum machine learning), quantum cryptography (NIST post-quantum cryptography standards, quantum key distribution, and advanced protocols like Quantum Permutation Pad), and quantum sensing (quantum dot-based sensors, NV-center magnetometry, atomic clocks, and energy applications). It highlights the convergence of these fields through quantum networks and distributed architectures while addressing key challenges such as decoherence, scalability, and error correction. An excellent resource for researchers seeking an integrated overview of quantum computing, security, and sensing developments (2020–2026).