In this paper, we discuss the initial attempts at boosting understanding human language based on deep-learning models with quantum computing. We successfully train a quantum-enhanced Long Short-Term Memory network to perform the parts-of-speech tagging task via numerical simulations. Moreover, a quantum-enhanced Transformer is proposed to perform the sentiment analysis based on the existing dataset.
The Dawn of Quantum Natural Language Processing
Quantum-enhanced deep learning models, including LSTM and Transformer, are explored for natural language processing tasks like parts-of-speech tagging and sentiment analysis.
- Year
- 2021
- Venue
- arXiv 2021
- Authors
- 5
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2110.06510ARXIV-DEFAULT
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