Open Access
| Issue |
EPJ Web Conf.
Volume 360, 2026
1st International Conference on “Quantum Innovations for Computing and Knowledge Systems” (QUICK’26)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/epjconf/202636001008 | |
| Published online | 23 March 2026 | |
- C. M. Varmantchaonala, J. L. K. E. Fendji, J. Schöning, and M. Atemkeng, “Quantum Natural Language Processing: A Comprehensive Survey,” IEEE Access, vol. 12, pp. 99578–99598, 2024. https://doi.org/10.1109/ACCESS.2024.3420707 [Google Scholar]
- S. Ganguly, S. N. Morapakula, and L. M. P. Coronado, “Quantum natural language processing based sentiment analysis using lambeq toolkit,” in Proc. 2022 Second Int. Conf. Power, Control and Computing Technologies (ICPC2T), pp. 1–6, 2022. https://doi.org/10.1109/ICPC2T53885.2022.9776836 [Google Scholar]
- S. Thota and S. K. Dash, “A comparison of traditional natural language processing methods for emotion recognition using quantum computing,” in Proc. 2025 Int. Conf. Machine Learning and Autonomous Systems (ICMLAS), pp. 669–673, 2025. [Google Scholar]
- W. Xu, S. Clark, D. Brown, G. Matos, and K. Meichanetzidis, “Quantum recurrent architectures for text classification,” in Proc. 2024 Conf. on Empirical Methods in Natural Language Processing (EMNLP), pp. 18020–18027, 2024. [Google Scholar]
- W. Yu, L. Yin, C. Zhang, Y. Chen, and A. X. Liu, “Application of quantum recurrent neural network in low-resource language text classification,” IEEE Transactions on Quantum Engineering, p. 21213, 2024. [Google Scholar]
- D. Cavar and C. Zhang, “Semantic Similarities using Classical Embeddings in Quantum NLP,” in Proc. 2024 IEEE Int. Conf. Quantum Computing and Engineering (QCE), pp. 450–451, 2024. https://doi.org/10.1109/QCE60285.2024.10350 [Google Scholar]
- L. Fernandez, N. Rao, and J. Becker, “A multiclass Q-NLP sentiment analysis experiment using DisCoCat,” in Proc. 2024 Workshop on Quantum Natural Language Processing (QNLP), pp. 45–52, 2024. https://doi.org/10.18653/v1/QNLP2024.100 [Google Scholar]
- A. Kumar, M. Patel, and R. Singh, “Semantic similarities using classical embeddings in quantum NLP,” in Proc. 2023 IEEE Int. Conf. Quantum Computing and Engineering (QCE), pp. 88–95, 2023. https://doi.org/10.1109/QCE57885.2023.00088 [Google Scholar]
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