发表机构
Indian Statistical Institute（印度统计研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文研究多体正交态对的局域判别资源消耗，发现不同态对需不等量量子资源，并揭示纠缠消耗的层级结构，表明LOCC判别代价依赖态本身。
AI 中文摘要
任意两个正交量子态都可以通过局域操作与经典通信（LOCC）完美区分，然而，所有正交多体态对是否都产生相同的操作代价仍是一个开放问题。在此，我们研究了跨多体态对的局域态判别所需的资源消耗。我们证明，不同的正交多体最大纠缠态对需要不等量的量子资源才能实现局域可区分性。将我们的框架扩展到单个态对之外，我们分析了局域可区分和不可区分的多体正交态的更大集合，揭示了它们在纠缠消耗上的非平凡层级结构。这些结果表明，LOCC判别的资源代价依赖于态本身，为多体非局域性的精细结构提供了洞见。
英文摘要
Any two orthogonal quantum states can be perfectly distinguished via local operations and classical communication (LOCC), yet whether all orthogonal multipartite pairs incur an identical operational cost remains an open question. Here, we address the resource consumption required for local state discrimination across multipartite pair of states. We demonstrate that distinct pairs of orthogonal multipartite maximally entangled states require unequal amounts of quantum resources to achieve local distinguishability. Extending our framework beyond individual pairs, we analyze larger sets of both locally distinguishable and indistinguishable multipartite orthogonal states, revealing a nontrivial hierarchy in their entanglement consumption. These results show that the resource cost of LOCC discrimination is state-dependent, providing insight into the fine-grained structure of multipartite nonlocality.
Comments7 Pages, 1 Figure
