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

$15.99

Quantum Machine Learning With Python: Using Cirq from Google Research and IBM Qiskit
Authors: Santanu Pattanayak
Year: 2021
Publisher: Apress
Language: English
ISBN 13: 9781484265222
ISBN 10: 148426522X
Categories: Computers, Computer Science
Pages: 320 / 319
Edition: 1

Availability: 5000 in stock

SKU: 9781484265222 Categories: ,

Quantum Machine Learning With Python: Using Cirq from Google Research and IBM Qiskit Santanu Pattanayak
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
Categories:
Computers – Computer Science
Year:
2021
Edition:
1
Publisher:
Apress
Language:
english
Pages:
373
ISBN 10:
148426522X
ISBN 13:
9781484265222
File:
72 MB

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Quantum Machine Learning With Python: Using Cirq from Google Research and IBM Qiskit
$15.99

Availability: 5000 in stock