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Quantum Machine Learning with Python

Using Cirq from Google Research and IBM Qiskit

Authors: Pattanayak, Santanu

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  • Covers theoretical and mathematical foundations of Quantum computing and Quantum machine learning.
  • Covers different problems in varied domains that can be potentially solved through Quantum machine learning and Quantum computing
  • Python implementation of different Quantum machine learning and Quantum computing algorithms using Qiskit toolkit from IBM and Cirq from Google Research
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eBook 26,99 €
price for Germany (gross)
  • ISBN 978-1-4842-6522-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 37,44 €
price for Germany (gross)
  • ISBN 978-1-4842-6521-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use cases that can be solved through Quantum based algorithms.This book explains Quantum Computing, which leverages the Quantum mechanical properties sub-atomic particles. It also examines Quantum machine learning, which can help solve some of the most challenging problems in forecasting, financial modeling, genomics, cybersecurity, supply chain logistics, cryptography among others.
You'll start by reviewing the fundamental concepts of Quantum Computing, such as Dirac Notations, Qubits, and Bell state, followed by postulates and mathematical foundations of Quantum Computing. Once the foundation base is set, you'll delve deep into Quantum based algorithms including Quantum Fourier transform, phase estimation, and HHL (Harrow-Hassidim-Lloyd) among others. 
You'll then be introduced to Quantum machine learning and Quantum deep learning-based algorithms, along with advanced topics of Quantum adiabatic processes and Quantum based optimization. Throughout the book, there are Python implementations of different Quantum machine learning and Quantum computing algorithms using the Qiskit toolkit from IBM and Cirq from Google Research.
What You'll Learn

  • Understand Quantum computing and Quantum machine learning
  • Explore varied domains and the scenarios where Quantum machine learning solutions can be applied
  • Develop expertise in algorithm development in varied Quantum computing frameworks
  • Review the major challenges of building large scale Quantum computers and applying its various techniques
Who This Book Is For
Machine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning


About the authors

Santanu Pattanayak works as a staff machine learning specialist at Qualcomm Corp R&D and is an author of the book “Pro Deep Learning with TensorFlow” published by Apress. He has around 12 years of work experience and has worked at GE, Capgemini, and IBM before joining Qualcomm. He graduated with a degree in electrical engineering from Jadavpur University, Kolkata and is an avid math enthusiast. Santanu has a master’s degree in data science from Indian Institute of Technology (IIT), Hyderabad. He also participates in Kaggle competitions in his spare time where he ranks in top 500. Currently, he resides in Bangalore with his wife.

Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook 26,99 €
price for Germany (gross)
  • ISBN 978-1-4842-6522-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 37,44 €
price for Germany (gross)
  • ISBN 978-1-4842-6521-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock

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Bibliographic Information

Bibliographic Information
Book Title
Quantum Machine Learning with Python
Book Subtitle
Using Cirq from Google Research and IBM Qiskit
Authors
Copyright
2021
Publisher
Apress
Copyright Holder
Santanu Pattanayak
eBook ISBN
978-1-4842-6522-2
DOI
10.1007/978-1-4842-6522-2
Softcover ISBN
978-1-4842-6521-5
Edition Number
1
Number of Pages
XIX, 361
Number of Illustrations
79 b/w illustrations
Topics