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Quantum-inspired tensor network techniques explored for industrial applications

This paper explores the practical application of quantum-inspired algorithms within tensor networks for industrial settings. It compiles existing literature and analyzes potential use cases, while also examining the limitations to assess scalability. The research aims to determine the feasibility of these advanced computational techniques in real-world industrial contexts. AI

RANK_REASON This is a research paper published on arXiv discussing computational techniques. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

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Quantum-inspired tensor network techniques explored for industrial applications

COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Alejandro Mata Ali, I\~nigo Perez Delgado, Aitor Moreno Fdez. de Leceta ·

    Quantum-inspired Techniques in Tensor Networks for Industrial Contexts

    arXiv:2404.11277v2 Announce Type: replace-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 literatur…