Quantum-inspired Techniques in Tensor Networks for Industrial Contexts
<|reference_start|>Quantum-inspired Techniques in Tensor Networks for Industrial Contexts: 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.<|reference_end|>
@article{ali2024quantum-inspired,
    title={Quantum-inspired Techniques in Tensor Networks for Industrial Contexts},
    author={Alejandro Mata Ali, I~nigo Perez Delgado and Aitor Moreno Fdez. de
  Leceta},
    journal={arXiv preprint arXiv:2404.11277},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.11277},
    primaryClass={quant-ph cs.ET cs.LG physics.comp-ph}
}