Quantum Random Number Consensus Across Distributed Network Nodes
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Solution Overview
Problem
Conventional pseudo-random number generators (PRNGs) are deterministic and can be predicted, while quantum random number generators (QRNGs) are costly and rely on external services that raise security concerns, necessitating a distributed protocol for secure quantum random number generation.
Innovation Solution
A distributed quantum network system that utilizes a consensus algorithm to verify and combine quantum random numbers generated by multiple nodes, ensuring authenticity and reliability through a quantum protocol like QKD or IPQ, using unique identifiers to filter compromised nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum hardware is used for true quantum random number generation, then reliability and security are improved, but cost increases significantly
Solution Approach 1:
The system divides the quantum random number generation task across multiple nodes in a distributed network. Each node independently generates quantum random numbers using quantum protocols, and the central server aggregates results from multiple nodes. This segmentation allows the system to achieve quantum security without requiring a single expensive quantum hardware device, thereby reducing overall cost while maintaining reliability.
Solution Approach 2:
The system uses classical simulation of quantum protocols as a copy or alternative to actual quantum hardware. The server can verify quantum random numbers through classical computation of quantum protocols, allowing entities without quantum hardware to participate in and verify quantum random number generation, thus reducing the need for expensive quantum devices while maintaining security.
2Reliability
If external quantum random number services are used, then quantum security is achieved, but trustworthiness and security concerns arise
Solution Approach 1:
The system implements a verification mechanism where the server receives quantum random numbers from multiple nodes, checks them against consensus criteria, and provides feedback on which nodes are trustworthy. Nodes that consistently generate verifiable quantum random numbers are identified as honest, creating a feedback loop that enhances trustworthiness without requiring external quantum services.
Solution Approach 2:
The system merges results from multiple independent nodes through a consensus algorithm. By combining quantum random numbers from multiple sources and requiring consensus verification, the system achieves higher trustworthiness than any single external service, as malicious behavior by one node can be detected and rejected by the collective verification process.
3Reliability
If a distributed quantum network is implemented, then security against malicious parties is improved, but system complexity increases
Solution Approach 1:
The distributed quantum network segments the security verification task across multiple independent nodes. Each node runs quantum protocols independently, and the central server coordinates verification. This segmentation distributes the complexity burden, allowing the system to achieve high security without requiring any single component to be overly complex.
Solution Approach 2:
The central server performs multiple functions: receiving quantum random numbers from nodes, verifying them against consensus criteria, identifying honest nodes, and generating the final quantum random number. This multi-functionality consolidates complexity into a single coordinating component while allowing individual nodes to remain relatively simple quantum random number generators.
Data Source
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AI summary
The present disclosure relates to systems and method for generating a quantum random number using a quantum network. The system may comprise a receiver for receiving from a plurality of nodes in a quantum network a plurality of initial quantum random numbers "IQRNs", wherein each initial quantum random number (IQRN) is generated by executing a quantum protocol between a first node and a second node comprised in the quantum network, and wherein each IQRN is associated with a first unique identifier (ID) uniquely identifying the first node, and a second unique identifier (ID) uniquely identifying the second node; a processor configured to: analyse the plurality of IQRNs and retain a subset of the IQRNs that satisfy a consensus criterion; generate the QRN using the subset of retained IQRNs.