Скачать или смотреть [DSC Europe 21] Quantum Natural Language Processing - Bob Coecke

This talk was part of the DSC Europe 21 track "Quantum ML", held on November 21st-25th.

We performed Quantum Natural Language Processing (QNLP) on an IBM quantum computer. The key to having been able to do so is the observation that quantum theory and natural language are governed by much of the same structure. Hence our language model is in a sense quantum-native, and we provide an analogy with the simulation of quantum systems. In this work, diagrammatic reasoning [2] is not only useful but also vital, in many different ways. Our compositional approach extends to a more meaning-aware Artificial (General) Intelligence, including further human-like features such as embodiment. [1a] B. Coecke, G. De Felice, K. Meichanetzidis & A. Toumi (2020) Foundations for Near-Term Quantum Natural Language Processing. https://arxiv.org/abs/2012.03755 [1b] K. Meichanetzidis, A. Toumi, G. De Felice & B. Coecke (2020) Grammar-Aware Question-Answering on Quantum Computers. https://arxiv.org/abs/2012.03756 [2] B. Coecke & A. Kissinger (2017) Picturing Quantum Processes. The first course was on quantum theory and diagrammatic reasoning. Cambridge University Press.

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