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Jan, 2024
将机器学习与量子张量网络相结合
Entangling Machine Learning with Quantum Tensor Networks
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Constantijn van der Poel, Dan Zhao
TL;DR
本文研究了张量网络在语言建模中的应用，通过对模拟Motzkin自旋链的问题进行抽象，发现张量模型具有接近完美的分类能力，并在训练样本减少时保持稳定的性能水平。
Abstract
This paper examines the use of
tensor networks
, which can efficiently represent high-dimensional quantum states, in
language modeling
. It is a distillation and continuation of the work done in (van der Poel, 2023
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