Operational Roles of QRNG-Derived Quantum Entropy in Bitcoin Proof-of-Work Architectures
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 η and the reboot-diversity index ρ. 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.
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BibTeX
@misc{silva2026operational,
title = {{Operational Roles of QRNG-Derived Quantum Entropy in Bitcoin Proof-of-Work Architectures}},
author = {Ricardo Fernandes da Silva and Paulo Vitor Batista Santos},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.05092},
eprint = {2609.05092},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.05092},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Operational Roles of QRNG-Derived Quantum Entropy in Bitcoin Proof-of-Work Architectures
AU - Ricardo Fernandes da Silva
AU - Paulo Vitor Batista Santos
PY - 2026
DA - 2026/09/04
PB - arXiv
DO - 10.48550/arxiv.2609.05092
UR - https://arxiv.org/abs/2609.05092
AB - 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 η and the reboot-diversity index ρ. 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.
ER -