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arXiv · 2404.11277

Quantum-inspired Techniques in Tensor Networks for Industrial Contexts

Alejandro Mata Ali·Iñigo Perez Delgado·Aitor Moreno Fdez. de Leceta
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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.

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Alejandro Mata Ali, Iñigo Perez Delgado, Aitor Moreno Fdez. de Leceta. 2024-04-17. Quantum-inspired Techniques in Tensor Networks for Industrial Contexts. https://arxiv.org/abs/2404.11277

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