Quantum NLP algorithms can be implemented either on quantum computers (quantum algorithms) or classical computers (quantum-inspired or quantum-like models)

Quantum NLP algorithms

Both quantum-inspired algorithms and quantum algorithms can model different features in the language; these are broken down into word representation and composition

Modeling Targets of Quantum NLP

Quantum NLP shows comparable or better performance compared with strong baselines for various tasks. These include:
- information retrieval
- question answering
- text classification
- speech recognition

Applications of Quantum NLP

The basic idea of integrating quantum computing in NLP is to make use the power of quantum mechanics for solving computational problems

Carleton College

Natural Language Processing Meets Quantum Physics: A Survey and Categorization(https://aclanthology.org/2021.emnlp-main.254) (Wu et al., EMNLP 2021)

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