Towards arbitrary QUBO optimization: analysis of classical and quantum-activated feedforward neural networks

Quadratic unconstrained binary optimization (QUBO) is at the heart of many industries and academic fields such as logistics, supply chain, finance, pharmaceutical science, chemistry, IT, and energy sectors, among others (Bangert 2012 Optimization for Industrial Problems (Springer Science & Business...

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Autores principales:	Chia-Tso Lai, Carsten Blank, Peter Schmelcher, Rick Mukherjee
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IOP Publishing 2025-01-01
Colección:	Machine Learning: Science and Technology
Materias:	QUBO quantum annealer Rydberg physics neural networks optimization quantum-inspired algorithm
Acceso en línea:	https://doi.org/10.1088/2632-2153/addb97
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