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Operational Roles of QRNG-Derived Quantum Entropy in Bitcoin Proof-of-Work Architectures

arXiv cs.CRby Ricardo Fernandes da Silva ()1 min read1 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

arXiv study finds quantum-random entropy adds no Bitcoin PoW success advantage but helps assurance in fault and provenance scenarios.

The paper shows replacing classical entropy with QRNG output does not change honest Bitcoin proof-of-work success probability when candidate headers remain distinct. It introduces a reproducible benchmark measuring an entropy-efficiency factor and a reboot-diversity index, finding QRNG value only in assurance-oriented scenarios involving correlated restart faults, namespace reuse, and entropy provenance. Validation is simulation-based, with hardware-in-the-loop testing identified as future work.

Key facts
  • QRNG entropy does not improve honest Bitcoin PoW success probability
  • Benchmark measures entropy-efficiency and reboot-diversity via Monte Carlo simulation
  • Value appears only in correlated-fault and entropy-provenance assurance scenarios
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From the original article

1 min read at arxiv.org

Replacing classical entropy with QRNG output does not change honest Bitcoin PoW success probability when candidate headers remain distinct.

arXiv cs.CR

By Ricardo Fernandes da Silva · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.