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Quantum Computer Music

Overview of attention for book
Quantum Computer Music
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Quantum Computing for Musicians
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    Chapter 2 Music Fundamentals for Computer Programmers: Representation, Parametrization and Automation
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    Chapter 3 Quantum Computer Music: Foundations and Initial Experiments
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    Chapter 4 Making Music Using Two Quantum Algorithms
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    Chapter 5 Exploring the Application of Gate-Type Quantum Computational Algorithm for Music Creation and Performance
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    Chapter 6 Cellular Automata Music Composition: From Classical to Quantum
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    Chapter 7 QuiKo: A Quantum Beat Generation Application
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    Chapter 8 QAC: Quantum-Computing Aided Composition
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    Chapter 9 Quantum Music Playground Tutorial
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    Chapter 10 Quantum Representations of Sound: From Mechanical Waves to Quantum Circuits
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    Chapter 11 Experiments in Quantum Frequency Detection Using Quantum Fourier Transform
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    Chapter 12 Sing and Measure: Sound as Voice as Quanta
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    Chapter 13 A Quantum Natural Language Processing Approach to Musical Intelligence
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    Chapter 14 Adiabatic Quantum Computing and Applications to Music
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    Chapter 15 Applications of Quantum Annealing to Music Theory
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    Chapter 16 Making Sound with Light: Sound Synthesis with a Photonic Quantum Computer
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    Chapter 17 New Directions in Quantum Music: Concepts for a Quantum Keyboard and the Sound of the Ising Model
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    Chapter 18 Superconducting Qubits as Musical Synthesizers for Live Performance
Attention for Chapter 13: A Quantum Natural Language Processing Approach to Musical Intelligence
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Chapter title
A Quantum Natural Language Processing Approach to Musical Intelligence
Chapter number 13
Book title
Quantum Computer Music
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-13909-3_13
Book ISBNs
978-3-03-113908-6, 978-3-03-113909-3
Authors

Miranda, Eduardo Reck, Yeung, Richie, Pearson, Anna, Meichanetzidis, Konstantinos, Coecke, Bob

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 10%
Researcher 3 10%
Student > Bachelor 3 10%
Other 2 6%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 13 42%
Readers by discipline Count As %
Computer Science 9 29%
Physics and Astronomy 6 19%
Business, Management and Accounting 1 3%
Engineering 1 3%
Unknown 14 45%