发表机构
Federal Technological University of Paraná; Foton Institute of Quantum Sciences and Technologies（巴拉那联邦技术大学; 光子量子科学与技术研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究构建可复现基准，通过η与ρ指标探究QRNG衍生量子熵在比特币PoW架构中的操作价值，发现其在保障导向场景有独特价值，是基于模拟的验证框架，下一步需开展硬件在环验证。
AI 中文摘要
当候选区块头保持互异时，用量子随机数生成器（QRNG）的输出替代经典熵，不会改变诚实节点的比特币工作量证明（PoW）成功概率。本文的原创贡献是一个可复现的基准，它通过两个调度器级观测指标——熵效率因子η与重启多样性指数ρ，定位并测量混合量子-经典挖矿基础设施中量子熵的操作价值。带置信区间的蒙特卡洛与调度器模拟显示，有能力的确定性及强经典基线表现相当，而QRNG的价值在涉及相关重启故障、命名空间复用与熵来源的保障导向场景中显现。因此，本研究定位为基于模拟的验证框架，而非设备级QRNG演示；文中指出，下一步实验步骤是使用已记录或实时QRNG流的硬件在环验证。
英文摘要
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.
Comments5 pages, 3 figures, 3 tables. Prepared for the Congresso Brasileiro de Ciências e Tecnologias Quânticas (CBCTQ 2026). Reproducibility script included with the source files
