用于路径纠缠态的高概率预示方案的自动发现
Automated discovery of high-probability heralded schemes for path-entangled states
AI总结：
研究光子纠缠态实际产生受限问题，利用AI技术发现用于路径纠缠态的预示线性光学方案，形成可扩展族，包含已知结构且有改进，为多光子纠缠研究提供理论进展和实验途径。
AI中文摘要：
光的纠缠态是光子量子技术的核心，涵盖从分布式量子通信到量子增强测量与信息处理等领域。然而，光子间的弱相互作用限制了其实际产生，使得确定性组装大型多光子纠缠态成为量子光学的核心挑战。在本工作中，我们运用人工智能技术发现用于路径纠缠态的预示线性光学方案，并表明所得解决方案可从单个电路提升为新的可扩展族。该族包含已知结构作为特殊情况，且通常在其上有指数和超指数级改进。将其扩展到更广泛的目标态类别展示了自动发现如何揭示可转移的物理理解。通过为大型路径纠缠态提供紧凑的实验方案，我们的结果在光子预示方面取得理论进展，并为实验上可及的多光子纠缠实现重大飞跃提供了途径。
英文摘要：
Entangled states of light lie at the heart of photonic quantum technologies, from distributed quantum communication to quantum-enhanced measurement and information processing. Their practical generation, however, remains constrained by the weak interactions between photons, which make the deterministic assembly of large multiphoton entangled states a central challenge in quantum optics. In this work, we use AI techniques to discover heralded linear-optical schemes for path-entangled states and show that the resulting solutions can be elevated from individual circuits to a new scalable family. This family contains previously known constructions as special cases while generally providing exponential and super-exponential improvements over those, and its extension to broader classes of target states shows how automated discovery can reveal transferable physical understanding. By presenting compact experimental proposals for large path-entangled states, our results provide both a theoretical advance in photonic heralding and a route towards a substantial leap in experimentally accessible multiphoton entanglement.
