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arXiv · 2511.16558

Simulating Gaussian boson sampling on graphs in polynomial time

Konrad Anand·Zongchen Chen·Mary Cryan·Graham Freifeld·Leslie Ann Goldberg·Heng Guo·Xinyuan Zhang
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Abstract

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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Konrad Anand, Zongchen Chen, Mary Cryan, Graham Freifeld, Leslie Ann Goldberg, Heng Guo, Xinyuan Zhang. 2025-11-20. Simulating Gaussian boson sampling on graphs in polynomial time. https://arxiv.org/abs/2511.16558

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