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Quantum Computer Music: Foundations, Methods and Advanced Concepts 2022 ed. [Hardback]

  • Formāts: Hardback, 464 pages, height x width: 235x155 mm, weight: 968 g, 199 Illustrations, color; 172 Illustrations, black and white; XVI, 464 p. 371 illus., 199 illus. in color., 1 Hardback
  • Izdošanas datums: 01-Nov-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031139089
  • ISBN-13: 9783031139086
  • Hardback
  • Cena: 180,78 €*
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  • Formāts: Hardback, 464 pages, height x width: 235x155 mm, weight: 968 g, 199 Illustrations, color; 172 Illustrations, black and white; XVI, 464 p. 371 illus., 199 illus. in color., 1 Hardback
  • Izdošanas datums: 01-Nov-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031139089
  • ISBN-13: 9783031139086
This book explores music with respect to quantum computing, a nascent technology that is advancing rapidly. There is a long history of research into using computers for music since the 1950s.





Nowadays, computers are essential for the music economy. Therefore, it is very likely that quantum computers will impact the music industry in the time to come.  Consequently, a new area of research and development is emerging: Quantum Computer Music.





This unprecedented book presents the new field of Quantum Computer Music. It introduces the fundamentals of quantum computing for musicians and the latest developments by pioneering practitioners.
1 Introduction to Quantum Computing for Musicians
1(20)
Eduardo Reck Miranda
James L. Weaver
2 Music Fundamentals for Computer Programmers: Representation, Parametrization and Automation
21(22)
Eduardo Reck Miranda
3 Quantum Computer Music: Foundations and Initial Experiments
43(26)
Eduardo Reck Miranda
Suchitra Basak
4 Making Music Using Two Quantum Algorithms
69(14)
Euan J. Allen
Jacob F. F. Bulmer
Simon D. Small
5 Exploring the Application of Gate-Type Quantum Computational Algorithm for Music Creation and Performance
83(22)
Satofumi Souma
6 Cellular Automata Music Composition: From Classical to Quantum
105(26)
Eduardo Reck Miranda
Hector Miller-Bakewell
7 QuiKo: A Quantum Beat Generation Application
131(28)
Scott Oshiro
8 QAC: Quantum-Computing Aided Composition
159(38)
Omar Costa Hamido
9 Quantum Music Playground Tutorial
197(26)
James L. Weaver
10 Quantum Representations of Sound: From Mechanical Waves to Quantum Circuits
223(52)
Paulo Vitor Itaborai
Eduardo Reck Miranda
11 Experiments in Quantum Frequency Detection Using Quantum Fourier Transform
275(22)
Rajiv Mistry
Jonathan Ortega
12 Sing and Measure: Sound as Voice as Quanta
297(16)
Maria Mannone
Davide Rocchesso
13 A Quantum Natural Language Processing Approach to Musical Intelligence
313(44)
Eduardo Reck Miranda
Richie Yeung
Anna Pearson
Konstantinos Meichanetzidis
Bob Coecke
14 Adiabatic Quantum Computing and Applications to Music
357(16)
Jake M. Chuharski
15 Applications of Quantum Annealing to Music Theory
373(34)
Ashish Arya
Ludmila Botelho
Fabiola Canete
Dhruvi Kapadia
Ozlem Salehi
16 Making Sound with Light: Sound Synthesis with a Photonic Quantum Computer
407(26)
Eduardo Reck Miranda
Paul Finlay
Tom Lubowe
17 New Directions in Quantum Music: Concepts for a Quantum Keyboard and the Sound of the Ising Model
433(14)
Giuseppe Clemente
Arianna Crippa
Karl Jansen
Cenk Tiiysuz
18 Superconducting Qubits as Musical Synthesizers for Live Performance
447
Spencer Topel
Kyle Serniak
Luke Burkhart
Florian Carle
Professor Eduardo Reck Miranda (M.Sc., Ph.D.) is a composer and artificial intelligence (AI) scientist. He is a professor in Computer Music at the University of Plymouth, UK, where he is a director of the Interdisciplinary Centre for Computer Music Research. He is championing research into braincomputer interfaces, AI and unconventional computing applied to Music Technology.





Before moving to the University of Plymouth, Eduardo worked at Edinburgh Parallel Computing Centre, where he developed pioneering work on using supercomputers in musical composition. He subsequently worked for Sony Computer Science Laboratory Paris for several years, developing AI applied to music and linguistics. In 2006, he was appointed Edgar Varese Guest Professor at the Technical University of Berlin.





His previous publications include the Springer titles 'Handbook of Artificial Intelligence for Music', 'Guide to Unconventional Computing for Music', 'Guide to Brain-Computer Music Interfacing'and 'Guide to Computing for Expressive Music Performance'.