AI 中文总结
该研究分析五种预示式光子贝尔态产生方案，构建层级误差模型，对比其性能，为集成离散变量量子光子学尤其是频分架构提供设计指导。
AI 中文摘要
光子的高质量纠缠态是量子信息科学（QIS）在通信、传感和计算等领域应用的基础。在许多离散变量光子量子信息科学架构中，大型可应用态（如簇态、中继器图态）通过对小型纠缠种子态的融合测量构建，而贝尔态是这类种子态的基本实例。因此，种子态产生的质量为应用性能设定了基准，理解这一过程在现实误差机制（尤其是集成光子学实验中的误差机制）下的情况至关重要。本研究分析了五种用于产生事件就绪光子贝尔态的预示式方案，对比了它们的预示概率、保真度和误差鲁棒性。我们构建了误差模型的层级结构，从分析上易于处理的集总损耗模型，到具有多光子发射误差的现实预示式单光子源，最终到具有架构相关损耗的集成频分实现。在所有这些模型中，我们发现基于高阶多光子干涉的方案在低损耗实现中具有更优的保真度鲁棒性，而当概率源或有损分束器主导资源成本时，低光子数方案可能更可取。我们的结果为集成离散变量量子光子学提供了设计指导，尤其与频分架构相关，在这类架构中，有源分束器损耗可决定最优资源态产生策略。
英文摘要
High-quality entangled states of photons underlie quantum information science (QIS) applications across communication, sensing, and computing. In many discrete-variable photonic QIS architectures, large application-ready states (e.g., cluster states, repeater graph states) are constructed via fusion measurements on small entangled seed states, of which Bell states are the fundamental example. The quality of seed-state generation therefore sets a baseline for application performance, making it crucial to understand this process under realistic error mechanisms, particularly in integrated photonics experiments. In this work, we analyze five heralded schemes for generating event-ready photonic Bell states, contrasting their heralding probabilities, fidelities, and error robustness. We develop a hierarchy of error models, progressing from an analytically tractable lumped-loss model to realistic heralded single-photon sources with multiphoton emission errors and finally to integrated frequency-bin implementations with architecture-dependent loss. Across these models, we find that schemes based on higher-order multiphoton interference provide superior fidelity robustness in low-loss implementations, while lower-photon-number schemes can be preferable when probabilistic sources or lossy beamsplitters dominate the resource cost. Our results provide design guidance for integrated discrete-variable quantum photonics, with particular relevance for frequency-bin architectures where active beamsplitter loss can determine the optimal resource-state-generation strategy.
Comments16 + 22 pages, 8 + 13 figures, comments welcome
