• Corpus ID: 244102769

A Quantum Natural Language Processing Approach to Musical Intelligence

@article{Miranda2021AQN,
  title={A Quantum Natural Language Processing Approach to Musical Intelligence},
  author={Eduardo Reck Miranda and Richie Yeung and A. N. Pearson and Konstantinos Meichanetzidis and Bob Coecke},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.06741}
}
There has been tremendous progress in Artificial Intelligence (AI) for music, in particular for musical composition and access to large databases for commercialisation through the Internet. We are interested in further advancing this field, focusing on composition. In contrast to current ‘blackbox’ AI methods, we are championing an interpretable compositional outlook on generative music systems. In particular, we are importing methods from the Distributional Compositional Categorical (DisCoCat… 

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References

SHOWING 1-10 OF 67 REFERENCES

Grammar-Aware Question-Answering on Quantum Computers

This work performs the first implementation of an NLP task on noisy intermediate-scale quantum (NISQ) hardware and encodes word-meanings in quantum states and explicitly account for grammatical structure, which even in mainstream NLP is not commonplace, by faithfully hard-wiring it as entangling operations.

Quantum Natural Language Processing on Near-Term Quantum Computers

This work presents a method for mapping DisCoCat diagrams to quantum circuits, compatible both with NISQ devices and with established Quantum Machine Learning techniques, paving the way to near-term applications of quantum technology to natural language processing.

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

Results on the first NLP experiments conducted on Noisy Intermediate-Scale Quantum (NISQ) computers for datasets of size ≥ 100 sentences are presented.

On Computational Models of the Evolution of Music: From the Origins of Musical Taste to the Emergence of Grammars

This paper introduces three case studies of evolutionary modelling of music, starting with a model for studying the role of mating-selective pressure in the evolution of musical taste and an iterated learning model for studies of compositional grammars.

Recombinant music: using the computer to explore musical style

A research project called Experiments in Musical Intelligence (EMI), an expert system that uses pattern recognition processes to create recombinant music, i.e. music written in the styles of various composers by means of a contextual recombination of elements in the music of those composers is discussed.

Musical Composition with Stochastic Context-Free Grammars

The design of a generator of musical sequences for the purpose of aiding musicians in their compositional work was discussed, which was structured upon J.S. Bach's rules of homophonic composition.

Genetic Music System with Synthetic Biology

GeMS represents the musical equivalent of amino acids in terms of rhythms, referred to as rhythmic codons, and generates music with simulations of genetic processes, such as transcription, translation, and protein folding, with which biological systems render chains of amino acid from DNA strands.

A CCG-Based Version of the DisCoCat Framework

This paper reformulates DisCoCat as a passage from Combinatory Categorial Grammar (CCG) to a category of semantics, showing that standard categorial grammars can be expressed as a biclosed category, and model permutation-inducing rules by exploiting the symmetry of the compact closed category encoding the word meaning.

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

Lambeq is presented, the first high-level Python library for Quantum Natural Language Processing (QNLP), with a detailed hierarchy of modules and classes implementing all stages of a pipeline for converting sentences to string diagrams, tensor networks, and quantum circuits ready to be used on a quantum computer.

Diagrammatic Differentiation for Quantum Machine Learning

This work introduces diagrammatic differentiation for tensor calculus by generalising the dual number construction from rigs to monoidal categories and extending the method to the automatic differentation of hybrid classical-quantum circuits.
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