AI 中文总结
本文将关联噪声作为资源，分别优化直接与基于纠缠的量子转导性能，使其在实验相关协同参数范围内获得正量子容量，降低了微波-光量子转导的低温要求，为混合量子网络提供理论指导。
AI 中文摘要
量子转导可在微波与光频率域间相干转换量子态，是混合量子架构的关键技术，但其性能受限于热噪声，直接量子转导易受噪声影响，常无法达到正量子容量。基于纠缠的量子转导借助微波-光纠缠实现量子隐形传态来完成态转换，本质上更抗热噪声，但在真实热环境中生成足够强的纠缠仍是重大挑战。本文将关联噪声作为量子转导的资源，对直接量子转导，噪声关联会产生可控干涉项，大幅抑制有效信道噪声；对基于纠缠的量子转导，相同关联会增强微波-光纠缠的生成，提升基于隐形传态转换的保真度。结果显示，两种转导协议在实验相关的协同参数范围内均有宽正量子容量区域，本文还探讨了构建所需噪声关联的物理机制，为实验实施提供理论指导，表明关联噪声可大幅降低微波-光量子转导的严苛低温要求，助力实用混合量子网络的实现。
英文摘要
Quantum transduction, which coherently converts quantum states between microwave and optical frequency domains, is a key technology for hybrid quantum architectures. Its performance, however, is fundamentally limited by thermal noise. Direct quantum transduction is particularly susceptible to noise and often fails to achieve positive quantum capacity. Entanglement-based quantum transduction, which realizes state conversion through quantum teleportation assisted by microwave-optical entanglement, is intrinsically more robust against thermal noise. However, generating sufficiently strong entanglement in a realistic thermal environment remains a major challenge. In this paper, we exploit correlated noise as a resource for quantum transduction. For direct quantum transduction, it is shown that the noise correlations give rise to controllable interference terms that substantially suppress the effective channel noise. For entanglement-based quantum transduction, the same correlations enhance the generation of microwave-optical entanglement, thereby improving the fidelity of teleportation-based conversion. As a result, both transduction protocols exhibit broad regions of positive quantum capacity over experimentally relevant ranges of cooperativity. We further discuss a possible physical mechanism for engineering the required noise correlations, providing theoretical guidance for experimental implementations. These results suggest that correlated noise can substantially relax the stringent cryogenic requirements for microwave-optical quantum transduction and facilitate the realization of practical hybrid quantum networks.
