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arXiv 2301.04782quant-ph
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虚部的资源理论:新的分布式场景

Resource Theory of Imaginarity: New Distributed Scenarios

Kang-Da Wu, Tulja Varun Kondra, Carlo Maria Scandolo, Swapan Rana, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Alexander Streltsov

AI总结:

本文研究了分布式场景下虚部的提纯与转换,给出一般量子比特态和任意维度纯态的精确解,提出无需辅助系统的量子信道判别场景,并通过实验验证了虚部在信道判别与LOCC判别任务中的操作优势。

摘要:

虚部的资源理论研究量子态、操作和测量中虚部的操作价值。在此,我们引入并研究分布式场景下虚部的提纯与转换。这自然地出现在双方系统(bipartite systems)中,双方共同努力在一个子系统上生成最大可能的虚部。我们针对一般量子比特态和任意维度的纯态给出了该问题的精确解。我们提出了一个展示虚部操作优势的场景:在没有辅助系统帮助的情况下进行量子信道判别。然后我们将此场景与双方态的LOCC判别联系起来。我们在实验上演示了相关的辅助提纯协议,并展示了虚部在上述两项任务中的实用性。

英文摘要:

The resource theory of imaginarity studies the operational value of imaginary parts in quantum states, operations, and measurements. Here we introduce and study the distillation and conversion of imaginarity in distributed scenario. This arises naturally in bipartite systems where both parties work together to generate the maximum possible imaginarity on one of the subsystems. We give exact solutions to this problem for general qubit states and pure states of arbitrary dimension. We present a scenario that demonstrates the operational advantage of imaginarity: the discrimination of quantum channels without the aid of an ancillary system. We then link this scenario to LOCC discrimination of bipartite states. We experimentally demonstrate the relevant assisted distillation protocol, and show the usefulness of imaginarity in the aforementioned two tasks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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