arXiv Open Access 2024

Quantum-inspired Techniques in Tensor Networks for Industrial Contexts

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

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Abstrak

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.

Topik & Kata Kunci

quant-ph cs.ET cs.LG physics.comp-ph

Penulis (3)

Alejandro Mata Ali

Iñigo Perez Delgado

Aitor Moreno Fdez. de Leceta

Format Sitasi

APA MLA BibTeX

Ali, A.M., Delgado, I.P., Leceta, A.M.F.d. (2024). Quantum-inspired Techniques in Tensor Networks for Industrial Contexts. https://arxiv.org/abs/2404.11277

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓