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English(EN) Normalizing Flows for Classical Simulation of Quantum Circuits in Phase Space

新框架使用归一化流进行量子电路模拟

研究人员开发了一个新的量子电路模拟框架,该框架利用多体系统的相空间表述。这种方法将 N 量子比特态表示为流形上的概率分布,允许将酉门参数化为这些分布之间的归一化流。该方法有望通过生成模型实现量子电路模拟,在较大系统规模下优于当前最先进的神经网络方法。 AI

影响 这项研究可能通过生成模型改进模拟能力,从而推动量子计算的发展。

排序理由 该集群包含一篇详细介绍量子电路新模拟方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新框架使用归一化流进行量子电路模拟

本文如何被排名

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35 / 100
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Tool
该集群包含一篇详细介绍量子电路新模拟方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Edward Jiang, Timothy Heightman, Marcin P{\l}odzie\'n ·

    基于相空间的量子电路经典模拟的归一化流

    arXiv:2611.14006v1 Announce Type: cross Abstract: We present a novel framework to learn a representation of quantum circuits based on the phase space formulation of many-body systems. Given that $N$-qubit states can be represented as probability distributions on a smooth $2N$-dim…