Book description
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.- 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
Table of contents
- Cover
- Front Matter
- 1. Introduction to Quantum Computing
- 2. Mathematical Foundations and Postulates of Quantum Computing
- 3. Introduction to Quantum Algorithms
- 4. Quantum Fourier Transform and Related Algorithms
- 5. Quantum Machine Learning
- 6. Quantum Deep Learning
- 7. Quantum Variational Optimization and Adiabatic Methods
- Back Matter
Product information
- Title: Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
- Author(s):
- Release date: March 2021
- Publisher(s): Apress
- ISBN: 9781484265222
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