分布式对称破缺的量子优势
Quantum Advantage for Distributed Symmetry Breaking
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中文总结 AI 辅助
提出分布式量子算法,以O(1)轮解决环的3着色,并推广至所有经典O(log* n)轮LCL问题,首次展示自然图问题的渐近量子优势。
中文摘要 AI 辅助
我们提出了一种分布式量子算法,能够以高概率在 $O(1)$ 轮内对环进行 $3$-着色。由此可知,所有在经典 LOCAL 模型中具有 $O(\log^* n)$ 轮复杂度的局部可检查标记问题(LCLs)都可以在量子-LOCAL 模型中以高概率在 $O(1)$ 轮内解决;这包括有界度图中的最大独立集和最大匹配等问题。这首次为 LOCAL 模型提供了具有渐近分布式量子优势的自然图问题实例;此前所有区分 LOCAL 与量子-LOCAL 的示例均为仅为展示量子优势而构造的人为问题。
英文摘要
We present a distributed quantum algorithm that $3$-colors cycles in $O(1)$ rounds, with high probability. It follows that all locally checkable labeling problems (LCLs) that have round complexity $O(\log^* n)$ in the classical LOCAL model can be solved in $O(1)$ rounds in the quantum-LOCAL model, with high probability; this includes problems such as maximal independent set and maximal matching in bounded-degree graphs. This presents the first natural examples of graph problems with an asymptotic distributed quantum advantage for the LOCAL model; all prior examples that separate LOCAL and quantum-LOCAL are artificial problems constructed merely for the sake of demonstrating quantum advantage.
发表机构
- Aalto University(阿尔托大学)
- University of Cambridge(剑桥大学)
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