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arXiv:2511.16558 · v3

Simulating Gaussian boson sampling on graphs in polynomial time

首次提交 2025-11-21 01:11
版本更新 2026-11-07 01:21
雷达观测 2026-11-09 13:22
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摘要

We show that a distribution related to Gaussian Boson Sampling (GBS) on graphs can be sampled classically in polynomial time. Graphical applications of GBS typically sample from this distribution, and thus quantum algorithms do not provide exponential speedup for these applications. We also show that another distribution related to Boson sampling can be sampled classically in polynomial time.

作者备注:12 pages, 2 figures, accepted to Quantum

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基于摘要 · 非全文审阅

作者报告,与图上高斯玻色采样(GBS)相关的一个分布以及另一个与玻色采样相关的分布,都可以在经典计算下以多项式时间采样。

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v3 · 2026-11-07 01:21 · 最新观测版本

Simulating Gaussian boson sampling on graphs in polynomial time

We show that a distribution related to Gaussian Boson Sampling (GBS) on graphs can be sampled classically in polynomial time. Graphical applications of GBS typically sample from this distribution, and thus quantum algorithms do not provide exponential speedup for these applications. We also show that another distribution related to Boson sampling can be sampled classically in polynomial time.

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