aiqbench analysis
This research leverages AI techniques to automate the discovery of linear-optical schemes for generating large path-entangled states in photonic quantum technologies. The resulting scalable family offers significant exponential improvements over existing constructions, addressing a central challenge in deterministic multiphoton entanglement assembly. By bridging automated design with experimental proposals, this work advances both theoretical understanding and practical routes toward accessible high-probability heralded schemes.
Automated discovery of high-probability heralded schemes for path-entangled states
arXiv:2607.25501v1 Announce Type: new Abstract: 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.
Abstract: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.
arXiv:2607.25501 [quant-ph]
(or arXiv:2607.25501v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.25501 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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