Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit

Name: Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
Brand: Apress
SKU: 9781484265215
Price: 3886.0 INR
Availability: InStock

by Santanu Pattanayak

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ISBN13: 9781484265215
Binding: Paperback
Subject: N/A
Publisher: Apress
Publisher Imprint: Apress
Publication Date: March 13, 2021
Pages: 295
Original Price: USD 54.99
Language: English
Edition: N/A
Item Weight: 663 grams
BISAC Subject(s): Programming / Open Source

About The Book

From the Back Cover
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.
You will:

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

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.

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