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I recently discovered Cambridge Quantum people have developed lambeq, a quantum natural language processing high-level library. Before diving into it, I'd like to understand more in detail what quantum computers can do better when it comes to NLP. Essentially, the intuition of why one might want to use a quantum computer for NLP instead of a classical one.

I read the lambeq paper but they mainly focus on the design of the library, introducing QNLP as just a possible application of quantum computing.

mpro
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There is no doubt that the DiscoCat model is novel. However, the generalization of the advantages of quantum computers has not yet been realized. So there's a good chance you'll get a less-than-classical effect. Please continue to refer to

  1. Bob Coecke, Giovanni De Felice et al., “Foundations for near-term quantum natural language processing,” arXiv e-prints, pp. arXiv:2012.03755, 2020.
  2. Robin Lorenz, Anna Pearson et al., “Qnlp in practice: Running compositional models of meaning on a quantum computer,” arXiv e-prints, pp. arXiv:2102.12846, 2021.

You can follow the Google Scholar feed of Cambridge University professor Bob Coecke, but there is very little material on QNLP at the moment.

Ren-Xin Zhao
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