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On the Robustness of Quantum Algorithms for Blockchain Consensus.
Muhammad Asad Ullah1, Jason William Setiawan1, Junaid Ur Rehman1
1Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Korea.
Quantum consensus algorithms show promise for blockchain networks but face noise challenges. Current protocols are best suited for specific intra-enterprise blockchain applications due to noise sensitivity.
Area of Science:
- Quantum Computing
- Blockchain Technology
- Network Security
Background:
- Blockchain relies on consensus algorithms for distributed networks.
- Key performance metrics include scalability, security, and decentralization.
- Quantum computing offers potential advancements for consensus mechanisms.
Purpose of the Study:
- Evaluate quantum consensus algorithms for blockchain-enhanced networks.
- Assess noise robustness against quantum decoherence.
- Compare performance against scalability, security, and decentralization metrics.
Main Methods:
- Investigated quantum consensus schemes' noise robustness.
- Analyzed effects of quantum decoherence in processors and fiber-optic channels.
- Examined error rates in list distribution under quantum noise.
Main Results:
- Quantum noise generally increases error rates in list distribution.
- Entanglement-free schemes are more susceptible to local noise than entanglement-based ones.
- Noisy optical fiber links significantly impact all quantum consensus schemes.
Conclusions:
- Current quantum protocols are viable for modular units in intra-enterprise blockchain networks.
- Noisy intermediate-scale quantum devices and communication limit broader application.
- Further research needed to overcome noise limitations for robust quantum blockchain consensus.
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