T\'ecnicas Quantum-Inspired en Tensor Networks para Contextos Industriales

arXiv:2404.17645v1 Announce Type: cross
Abstract: In this paper we present a study of the applicability and feasibility of quantum-inspired algorithms and techniques in tensor networks for industrial environments and contexts, with a compilation of the available literature and an analysis of the use cases that may be affected by such methods. In addition, we explore the limitations of such techniques in order to determine their potential scalability.

abstract algorithms analysis arxiv cases compilation cs.ce cs.et cs.lg environments industrial literature networks paper quant-ph quantum study tensor type use cases