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English(EN) Discovering state-of-the-art quantum circuits with large language models

LLM发现最先进的量子电路,减少了量子比特数量

研究人员开发了一个新颖的框架,利用大型语言模型(LLM)来设计量子电路,旨在优化其在量子计算中的效率。LLM提出电路设计,然后由独立系统进行评估和评分。这种方法在减少各种任务(包括数值计算、化学和优化)的Toffoli门和量子比特数量方面显示出显著的改进,优于现有的最先进方法。该框架还促成了一种用于模块化反转的新可逆架构的发现,使得以前不切实际的经典算法能够用于量子应用。 AI

影响 加速发现高效的量子算法,可能加快实际量子计算机的开发速度。

排序理由 学术论文,详细介绍了使用LLM发现量子电路的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

LLM发现最先进的量子电路,减少了量子比特数量

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学术论文,详细介绍了使用LLM发现量子电路的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Andi Gu, Alek H. Kemeny, Susanne F. Yelin, Mikhail D. Lukin ·

    利用大型语言模型发现最先进的量子电路

    arXiv:2610.22367v1 Announce Type: cross Abstract: Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While …