# Quantum Machine Learning with Python

PDF, ePUB

- eBook:Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
- Author:Santanu Pattanayak
- Edition:1 edition
- Categories:
- Data:March 28, 2021
- ISBN:1484265211
- ISBN-13:9781484265215
- Language:English
- Pages:380 pages
- Format:PDF, ePUB

**Book Description**

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

**Content**

Chapter 2: Mathematical Foundations and Postulates of Quantum Computing

Chapter 3: Introduction to Quantum Algorithms

Chapter 4: Quantum Fourier Transform and Related Algorithms

Chapter 5: Quantum Machine Learning

Chapter 6: Quantum Deep Learning

Chapter 7: Quantum Variational Optimization and Adiabatic Methods

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

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