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Evaluating probabilistic programming languages for simulating quantum correlations

机译:评估概率编程语言以模拟量子相关性

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摘要

This article explores how probabilistic programming can be used to simulate quantum correlations in an EPR experimental setting. Probabilistic programs are based on standard probability which cannot produce quantum correlations. In order to address this limitation, a hypergraph formalism was programmed which both expresses the measurement contexts of the EPR experimental design as well as associated constraints. Four contemporary open source probabilistic programming frameworks were used to simulate an EPR experiment in order to shed light on their relative effectiveness from both qualitative and quantitative dimensions. We found that all four probabilistic languages successfully simulated quantum correlations. Detailed analysis revealed that no language was clearly superior across all dimensions, however, the comparison does highlight aspects that can be considered when using probabilistic programs to simulate experiments in quantum physics.
机译:本文探讨了如何在EPR实验环境中使用概率编程来模拟量子相关性。概率程序基于无法产生量子相关性的标准概率。为了解决这一限制,编写了一种超图形式主义,既表达了EPR实验设计的测量环境,又表达了相关的约束。为了从定性和定量两个维度揭示它们的相对有效性,使用了四个当代的开源概率编程框架来模拟EPR实验。我们发现,所有四种概率语言都成功地模拟了量子相关性。详细的分析表明,没有语言在所有维度上都具有明显优势,但是,该比较确实突出了在使用概率性程序模拟量子物理学中的实验时可以考虑的方面。

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