A Quantum Natural Language Processing Approach to Musical Intelligence

1 code implementation • 10 Nov 2021 • Eduardo Reck Miranda, Richie Yeung, Anna Pearson, Konstantinos Meichanetzidis, Bob Coecke

In particular, we are importing methods from the Distributional Compositional Categorical (DisCoCat) modelling framework for Natural Language Processing (NLP), motivated by musical grammars.

lambeq: An Efficient High-Level Python Library for Quantum NLP

1 code implementation • 8 Oct 2021 • Dimitri Kartsaklis, Ian Fan, Richie Yeung, Anna Pearson, Robin Lorenz, Alexis Toumi, Giovanni De Felice, Konstantinos Meichanetzidis, Stephen Clark, Bob Coecke

We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP).

Tensor Networks

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

no code implementations • 25 Feb 2021 • Robin Lorenz, Anna Pearson, Konstantinos Meichanetzidis, Dimitri Kartsaklis, Bob Coecke

Quantum Natural Language Processing (QNLP) deals with the design and implementation of NLP models intended to be run on quantum hardware.

Sentence Classification