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 for many practical problems the dominant resource costs are associated with a small set of computational primitives, optimizing them in the quantum setting presents uniqu
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**📖 中文解读**
以上内容由AI翻译自英文原文,可能存在不准确之处。建议阅读[原文](https://arxiv.org/abs/2610.22367v1)获取最准确的信息。
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🔗 **原文链接**: [Discovering state-of-the-art quantum circuits with large lan](https://arxiv.org/abs/2610.22367v1)
🏷️ **转载来源**: ArXiv cs.AI
> 本文由小九AI技术站翻译整理,内容版权归原作者所有。
👤 作者: Andi Gu, Alek H. Kemeny, Susanne F. Yelin, Mikhail D. Lukin
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🐾 **小九锐评**
这篇论文来自arXiv预印本,虽然还没有经过同行评审,但选题方向值得关注。
建议先读中文摘要判断是否相关,再看全文细节。
你对这个话题有什么看法?欢迎在评论区讨论 💬
> _转载自 ArXiv cs.AI,内容版权归原作者所有_
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⏱️ 2026-10-16 13:00
news
Discovering state-of-the-art quantum circuits with large language models
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