Quantum receiver enhanced by adaptive learning.
Quantum receiver enhanced by adaptive learning.
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DOI：
10.1038/s41377-022-01039-5
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发表时间：
2022-12-08
影响因子：
19.4
通讯作者：
Zhang, Zheshen
中科院分区：
文献类型：
--
作者：
Cui, Chaohan;Horrocks, William;Hao, Shuhong;Guha, Saikat;Peyghambarian, Nasser;Zhuang, Quntao;Zhang, Zheshen
量子接收器旨在有效地导航广阔的量子态空间，以赋予经典接收器无法比拟的量子信息处理能力。到目前为止，只有少数量子接收器被构造出来解决识别相干态的问题。然而，通过分析方法设计的量子接收器无法有效地适应不同的环境条件，导致其性能随着操作复杂性的增加而迅速下降。在这里，我们提出了一种通用架构，称为量子接收器增强自适应学习，以适应量子接收器结构，以适应不同的操作条件。在硬件平台上实验实现了自适应学习量子接收机，具有创纪录的高效率。结合结构和实验的进展，错误率降低到40%以上的标准量子限制在两个相干态编码方案。所提出的自适应学习框架使量子接收器的自动设计能够在区分大字母表非正交量子态时对抗噪声。实验表明，比标准方法提高了40%。
Quantum receivers aim to effectively navigate the vast quantum-state space to endow quantum information processing capabilities unmatched by classical receivers. To date, only a handful of quantum receivers have been constructed to tackle the problem of discriminating coherent states. Quantum receivers designed by analytical approaches, however, are incapable of effectively adapting to diverse environmental conditions, resulting in their quickly diminishing performance as the operational complexities increase. Here, we present a general architecture, dubbed the quantum receiver enhanced by adaptive learning, to adapt quantum receiver structures to diverse operational conditions. The adaptively learned quantum receiver is experimentally implemented in a hardware platform with record-high efficiency. Combining the architecture and the experimental advances, the error rate is reduced up to 40% over the standard quantum limit in two coherent-state encoding schemes. The proposed adaptive-learning framework empowers automatic design of quantum receivers capable of combating noise in distinguishing large-alphabet nonorthogonal quantum states. Experiments show up to 40% improvement over standard approaches.
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