Quantum Self-Attention Neural Networks for Text Classification. (arXiv:2205.05625v1 [quant-ph])

Web: http://arxiv.org/abs/2205.05625

An emerging direction of quantum computing is to establish meaningful quantum
applications in various fields of artificial intelligence, including natural
language processing (NLP). Although some efforts based on syntactic analysis
have opened the door to research in Quantum NLP (QNLP), limitations such as
heavy syntactic preprocessing and syntax-dependent network architecture make
them impracticable on larger and real-world data sets. In this paper, we
propose a new simple network architecture, called the quantum self-attention
neural network (QSANN), which can make up …

arxiv attention classification networks neural neural networks quantum self-attention text text classification