Quantum Machine Learning with Python
Author: Santanu Pattanayak
Quantum Machine Learning with Python by Santanu Pattanayak presents a mathematical and code-oriented approach to the fundamentals of quantum computing and its applications in machine learning. The book begins with an introduction to the basic concepts of quantum computing and its mathematical foundations, then explores quantum algorithms, the quantum Fourier transform, quantum machine learning, quantum deep learning, and quantum optimization methods. One of the key features of this work is its integration of theoretical and mathematical explanations with Python implementations of algorithms using software frameworks such as Cirq and Qiskit. This approach helps readers develop an understanding of the principles of quantum computing while becoming familiar with the implementation and simulation of related algorithms. The book is a practical resource for students, engineers, and researchers interested in quantum machine learning who wish to connect the theoretical foundations of the field with programming and algorithm development.
Read the introduction- Pages
- 370
- Language
- انگلیسی
- Reading level
- Beginner
About the book
Quantum Machine Learning with Python by Santanu Pattanayak presents a mathematical and code-oriented approach to the fundamentals of quantum computing and its applications in machine learning. The book begins with an introduction to the basic concepts of quantum computing and its mathematical foundations, then explores quantum algorithms, the quantum Fourier transform, quantum machine learning, quantum deep learning, and quantum optimization methods.
One of the key features of this work is its integration of theoretical and mathematical explanations with Python implementations of algorithms using software frameworks such as Cirq and Qiskit. This approach helps readers develop an understanding of the principles of quantum computing while becoming familiar with the implementation and simulation of related algorithms.
The book is a practical resource for students, engineers, and researchers interested in quantum machine learning who wish to connect the theoretical foundations of the field with programming and algorithm development.
How this book helps
Implementing and simulating quantum computing and quantum machine learning algorithms using Python
Using Cirq and Qiskit software frameworks to develop and execute quantum circuits and algorithms
Studying quantum machine learning models and quantum deep learning methods
Exploring quantum optimization algorithms and quantum adiabatic methods
What you will learn
Understanding the mathematical foundations and fundamental principles of quantum computing required for studying quantum machine learning
Gaining practical familiarity with implementing quantum algorithms in Python using Cirq and Qiskit
Understanding the principles and methods of quantum machine learning, quantum deep learning, and quantum optimization
Developing the ability to implement and simulate selected quantum algorithms and explore their potential applications in computational and machine learning problems
Contributors
- Author
- Santanu Pattanayak
Publication and reading details
- Publisher
- Apress
- Published
- 2021
- Language
- انگلیسی
- Pages
- 370
- Print run
- 1
- Format
- Text
- Reading level
- Beginner
- Category
- Quantum Artificial Intelligence
Book identifiers
- ISBN
- ۹۷۸۱۴۸۴۲۶۵۳۳۸