A Quantum Natural Language Processing Approach to Musical Intelligence
- URL: http://arxiv.org/abs/2111.06741v1
- Date: Wed, 10 Nov 2021 12:35:07 GMT
- Title: A Quantum Natural Language Processing Approach to Musical Intelligence
- Authors: Eduardo Reck Miranda, Richie Yeung, Anna Pearson, Konstantinos
Meichanetzidis, Bob Coecke
- Abstract summary: Quantum computing is a nascent technology, which is likely to impact the music industry in time to come.
This work follows from previous experimental implementations of DisCoCat linguistic models on quantum hardware.
We present Quanthoven, the first proof-of-concept ever built, which demonstrates that it is possible to program a quantum computer to learn to classify music.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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 black-box 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) modelling framework for
Natural Language Processing (NLP), motivated by musical grammars. Quantum
computing is a nascent technology, which is very likely to impact the music
industry in time to come. Thus, we are pioneering a Quantum Natural Language
Processing (QNLP) approach to develop a new generation of intelligent musical
systems. This work follows from previous experimental implementations of
DisCoCat linguistic models on quantum hardware. In this chapter, we present
Quanthoven, the first proof-of-concept ever built, which (a) demonstrates that
it is possible to program a quantum computer to learn to classify music that
conveys different meanings and (b) illustrates how such a capability might be
leveraged to develop a system to compose meaningful pieces of music. After a
discussion about our current understanding of music as a communication medium
and its relationship to natural language, the chapter focuses on the techniques
developed to (a) encode musical compositions as quantum circuits, and (b)
design a quantum classifier. The chapter ends with demonstrations of
compositions created with the system.
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