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Traceable random numbers from a non-local quantum advantage
Gautam A Kavuri1,2, Jasper Palfree3,4, Dileep V Reddy3,4
1Department of Physics, University of Colorado, Boulder, CO, USA. gautam.kavuri@colorado.edu.
Nature
|June 11, 2025
Summary
This study introduces a new quantum random number generator that is fully traceable and certifiable. It ensures unpredictable random number generation for enhanced digital security and resource distribution.
Area of Science:
- Quantum Information Science
- Cryptography
- Computer Science
Background:
- Unpredictable random numbers are crucial for digital security and fair resource allocation.
- Current random number generators (RNGs) have limitations in traceability, auditability, and certifiability of unpredictability.
- Algorithmic RNGs are auditable but cannot guarantee a priori unpredictability, while device-independent quantum RNGs have vulnerable extraction steps.
Purpose of the Study:
- To demonstrate a fully traceable random number generation protocol.
- To address the limitations of existing RNGs by ensuring auditable and certifiable unpredictability.
- To establish a public, traceable, and certifiable quantum randomness beacon.
Main Methods:
- Developed a protocol based on device-independent quantum techniques.
- Extracted randomness from unpredictable non-local quantum correlations.
- Utilized distributed intertwined hash chains for cryptographic tracing and verification of randomness extraction.
Main Results:
- Successfully demonstrated a fully traceable and certifiable random number generation protocol.
- Launched a public quantum randomness beacon achieving a 99.7% success rate over 40 days.
- Emitted 512 bits of traceable randomness per successful protocol run, certified to be uniform with a bounded error probability (2^-64).
Conclusions:
- The protocol provides a public service for generating certifiable and traceable randomness.
- This quantum approach offers an entanglement-derived advantage over classical methods for secure randomness generation.
- The developed method enhances the trustworthiness and security of random number generation for critical applications.
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