Secure Decentralized Quantum Computing
Secure decentralized quantum computing is an emerging field that combines quantum computing with decentralized architectures to enhance security, scalability, and computational power. Traditional quantum computing relies on centralized models where quantum processors operate within specific facilities, creating risks related to data privacy, control, and single points of failure. By integrating decentralization, multiple quantum nodes can collaborate securely without relying on a single governing authority. Blockchain and distributed ledger technologies (DLT) play a crucial role in decentralized quantum computing by ensuring transparency, security, and trust in quantum transactions. Smart contracts and cryptographic protocols can facilitate secure interactions between quantum nodes, enabling efficient resource sharing while mitigating cyber threats. Quantum cryptography, particularly quantum key distribution (QKD), enhances security by leveraging the principles of quantum mechanics to protect data against eavesdropping and cyberattacks.
Challenges in this field include network synchronization, error correction in quantum systems, and ensuring compatibility between classical and quantum infrastructure. Despite these hurdles, secure decentralized quantum computing holds significant potential for advancing fields such as cryptography, artificial intelligence, and large-scale simulations. As quantum technology matures, decentralization will be essential in creating resilient, secure, and accessible computing frameworks that empower industries and researchers to harness quantum capabilities without centralized control.
Keynote Talk
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“Quantum Machine Learning in Intelligent Vehicles”, The 2nd Workshop on Workshop on Secure Connected Vehicles: Digital Twin, UAVs and Smart Transportation, In conjunction with IEEE 36th Intelligent Vehicles Symposium (IV 2025) June 22-25, Cluj-Napoca, Romania. Workshops, Tutorials & Journal Papers – IEEE IV 2025
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“The Synergy of Quantum & Blockchain Technologies in Intelligent Vehicle Cybersecurity: Potential & Hurdles,” IEEE Global AI Summit 2024 International Conference on Artificial Intelligence & Emerging Technology, India, Oct. 5th, 2024. https://www.bennett.edu.in/aisummit2024/speakers/
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“Quantum-Blockchain’s Role in Reinventing CAV Cybersecurity: Prospective, Challenges, and Scope,” Penn Quantum Computing Conference-2024, University of Pennsylvania (UPENN), PA, USA, March 24th, 2024. https://pennquantumcomputing.github.io/speakers.html
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“Exploring Quantum AI for Human-Computer Interaction,” International Conference on Intelligent Human-Computer Interaction (IHCI)-2023, Daegu, South Korea, November 8–10, 2023. https://www.ihcisociety.org/program/invited-speaker
Publication
- Madhusudan Singh, Irish Singh, (2025). Integrating Blockchain and Post-Quantum Cryptography: Opportunities and Challenges. In: Singh, D., van ’t Klooster, JW., Tiwary, U.S. (eds) Intelligent Human Computer Interaction. IHCI 2024. Lecture Notes in Computer Science, vol 15558. Springer, Cham. https://doi.org/10.1007/978-3-031-88881-6_6
- Madhusudan Singh, Bharat Rawal, (2024). “Exploring the Intersection of Blockchain and Distributed Quantum Computing: Synergies, Challenges, and Future Directions,” 2024 Second International Conference on Microwave, Antenna and Communication (MAC), Dehradun, India, 2024, pp. 1-7, doi: 10.1109/MAC61551.2024.10837493.
- Madhusudan Singh, Irish Singh, Dhananjay Singh, (2024). Exploring Quantum Machine Learning for Early Disease Detection: Perspectives, Challenges, and Opportunities. In: Choi, B.J., Singh, D., Tiwary, U.S., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2023. Lecture Notes in Computer Science, vol 14531. Springer, Cham. https://doi.org/10.1007/978-3-031-53827-8_22