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Table of Contents
1. Abstract
2. Introduction
3. Document Classification with Variational Quantum Circuits
4. Quantum-Enhanced Long Short-Term Memory Neural Network
5. Toward a Quantum Transformer
6. Conclusions
Summary
The document discusses the initial attempts at boosting understanding human language based on deep-learning models with quantum computing. It covers topics such as quantum-enhanced Long Short-Term Memory network, quantum-enhanced Transformer, quantum computing, quantum machine learning, and more. The authors present their contributions in training quantum-enhanced models for parts-of-speech tagging and sentiment analysis tasks. The paper also explores the potential of quantum computing in natural language processing.