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This research investigates the specific utility of Quantum Random Number Generator (QRNG) entropy within Bitcoin's Proof-of-Work architecture, concluding that it offers no advantage for standard mining success but provides critical assurance against correlated restart faults and namespace reuse issues. The study establishes a simulation-based validation framework using scheduler-level metrics rather than demonstrating raw quantum speedup, positioning QRNGs as tools for security robustness in hybrid quantum-classical mining infrastructures.
Operational Roles of QRNG-Derived Quantum Entropy in Bitcoin Proof-of-Work Architectures
arXiv:2609.05092v1 Announce Type: cross Abstract: Replacing classical entropy with QRNG output does not change honest Bitcoin PoW success probability when candidate headers remain distinct. The original contribution of this paper is a reproducible benchmark that locates and measures the operational value of quantum entropy in hybrid quantum-classical mining infrastructure through two scheduler-level observables, the entropy-efficiency factor $\eta$ and the reboot-diversity index $\rho$. Monte Carlo and scheduler simulations with confidence intervals show parity for competent deterministic and strong-classical baselines, while QRNG value emerges in assurance-oriented scenarios involving correlated restart faults, namespace reuse, and entropy provenance. The study is therefore positioned as a simulation-based validation framework rather than as a device-level QRNG demonstration; hardware-in-the-loop validation with recorded or live QRNG streams is identified as the next experimental step.
Abstract:Replacing classical entropy with QRNG output does not change honest Bitcoin PoW success probability when candidate headers remain distinct. The original contribution of this paper is a reproducible benchmark that locates and measures the operational value of quantum entropy in hybrid quantum-classical mining infrastructure through two scheduler-level observables, the entropy-efficiency factor $\eta$ and the reboot-diversity index $\rho$. Monte Carlo and scheduler simulations with confidence intervals show parity for competent deterministic and strong-classical baselines, while QRNG value emerges in assurance-oriented scenarios involving correlated restart faults, namespace reuse, and entropy provenance. The study is therefore positioned as a simulation-based validation framework rather than as a device-level QRNG demonstration; hardware-in-the-loop validation with recorded or live QRNG streams is identified as the next experimental step.
5 pages, 3 figures, 3 tables. Prepared for the Congresso Brasileiro de Ciências e Tecnologias Quânticas (CBCTQ 2026). Reproducibility script included with the source files
Cryptography and Security (cs.CR); Quantum Physics (quant-ph)
arXiv:2609.05092 [cs.CR]
(or arXiv:2609.05092v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2609.05092 arXiv-issued DOI via DataCite (pending registration)
From: Ricardo Fernandes Da Silva Dr. [view email] [v1] Fri, 4 Sep 2026 12:47:32 UTC (117 KB)
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