Quantum Hyperbolic Deep Learning for Foreign-Exchange Trading: A Hybrid Reinforcement-Learning Pipeline over Attractor-Aware Magnet-Price Manifolds

Foreign-exchange decisions rest on hierarchically organized evidence whose latent structure is inadequately captured by Euclidean representations. Reinforcement-learning agents trained on flat embeddings inherit stability guarantees that do not transfer to the manifold supporting the latent state. W...

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Kaituhi matua:	Francesco Rundo
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2026-06-01
Rangatū:	Big Data and Cognitive Computing
Ngā marau:	quantum machine learning hyperbolic deep learning reinforcement learning foreign-exchange trading chaotic attractors
Urunga tuihono:	https://www.mdpi.com/2504-2289/10/6/191
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!