Overview
- 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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Table of contents (7 chapters)
Keywords
About this book
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
Machine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning
Reviews
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Quantum Machine Learning with Python
Book Subtitle: Using Cirq from Google Research and IBM Qiskit
Authors: Santanu Pattanayak
DOI: https://doi.org/10.1007/978-1-4842-6522-2
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Santanu Pattanayak 2021
Softcover ISBN: 978-1-4842-6521-5Published: 13 March 2021
eBook ISBN: 978-1-4842-6522-2Published: 13 March 2021
Edition Number: 1
Number of Pages: XIX, 361
Number of Illustrations: 79 b/w illustrations
Topics: Artificial Intelligence, Professional Computing, Open Source