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Supervised Learning with Quantum Computers

  • Maria Schuld
  • Francesco Petruccione

Part of the Quantum Science and Technology book series (QST)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Maria Schuld, Francesco Petruccione
    Pages 1-19
  3. Maria Schuld, Francesco Petruccione
    Pages 21-73
  4. Maria Schuld, Francesco Petruccione
    Pages 75-125
  5. Maria Schuld, Francesco Petruccione
    Pages 127-137
  6. Maria Schuld, Francesco Petruccione
    Pages 139-171
  7. Maria Schuld, Francesco Petruccione
    Pages 173-210
  8. Maria Schuld, Francesco Petruccione
    Pages 211-245
  9. Maria Schuld, Francesco Petruccione
    Pages 247-272
  10. Maria Schuld, Francesco Petruccione
    Pages 273-279
  11. Back Matter
    Pages 281-287

About this book

Introduction

Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.


Keywords

quantum phase estimation quantum walks quantum annealing hidden Markov models belief nets Boltzmann machines adiabatic quantum computing Grover search Hopfield models Quantum inference Artificial neural network near term application Quantum machine learning data driven prediction Qsample encoding quantum gates Deutsch-Josza algorithm Kernel methods quantum blas

Authors and affiliations

  • Maria Schuld
    • 1
  • Francesco Petruccione
    • 2
  1. 1.School of Chemistry and Physics, Quantum Research GroupUniversity of KwaZulu-NatalDurbanSouth Africa
  2. 2.School of Chemistry and PhysicsUniversity of KwaZulu-NatalDurbanSouth Africa

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96424-9
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-96423-2
  • Online ISBN 978-3-319-96424-9
  • Series Print ISSN 2364-9054
  • Series Online ISSN 2364-9062
  • Buy this book on publisher's site
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