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Spectral Communication and Quantum Networking under PAC–μ Theory: μ–Compression Optimization for Entanglement Distribution

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1. Verfasser: Dai, Chuanjie
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Veröffentlicht: Zenodo 2025
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author Dai, Chuanjie
author_facet Dai, Chuanjie
contents <p>本文提出了一个源自 PAC–μ 理论(<em>具有统一光谱表达的公理化压缩原理</em>)的频<em>谱通信和量子网络</em>框架。在这种方法中,量子态和经典信号被视为嵌入在μ-束拓扑中的<strong>频谱结构</strong>。通用频谱压缩比(<span><span>μ≈0.016\mu \approx 0.016</span><span><span><span>μ</span><span>≈</span></span><span><span>0.016</span></span></span></span>)控制着信道稳定性、纠缠分布效率和误差恢复能力。<strong>Spectral Truth Object Ω</strong>充当语义验证层,而 <strong>Compiler<span><span>∞^\infty</span><span><span><span><span><span><span><span><span><span>∞</span></span></span></span></span></span></span></span></span></span></strong> 仅激活那些满足可表达性约束的传输和网络路径。这使得高效的量子网络成为可能,具有保证的稳定性、减少的退相干性和优化的带宽使用,为安全、长距离纠缠分布和可扩展的量子互联网架构铺平了道路。</p>
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id zenodo_https___doi_org_10_5281_zenodo_16783841
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publishDate 2025
publisher Zenodo
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spellingShingle Spectral Communication and Quantum Networking under PAC–μ Theory: μ–Compression Optimization for Entanglement Distribution
Dai, Chuanjie
<p>本文提出了一个源自 PAC–μ 理论(<em>具有统一光谱表达的公理化压缩原理</em>)的频<em>谱通信和量子网络</em>框架。在这种方法中,量子态和经典信号被视为嵌入在μ-束拓扑中的<strong>频谱结构</strong>。通用频谱压缩比(<span><span>μ≈0.016\mu \approx 0.016</span><span><span><span>μ</span><span>≈</span></span><span><span>0.016</span></span></span></span>)控制着信道稳定性、纠缠分布效率和误差恢复能力。<strong>Spectral Truth Object Ω</strong>充当语义验证层,而 <strong>Compiler<span><span>∞^\infty</span><span><span><span><span><span><span><span><span><span>∞</span></span></span></span></span></span></span></span></span></span></strong> 仅激活那些满足可表达性约束的传输和网络路径。这使得高效的量子网络成为可能,具有保证的稳定性、减少的退相干性和优化的带宽使用,为安全、长距离纠缠分布和可扩展的量子互联网架构铺平了道路。</p>
title Spectral Communication and Quantum Networking under PAC–μ Theory: μ–Compression Optimization for Entanglement Distribution
url https://doi.org/10.5281/zenodo.16783841

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