Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiskit
by: Santanu Pattanayak
Publisher finelybook 出版社: Apress; 1st ed. edition (13 Mar. 2021)
Language 语言: English
Print Length 页数: 384 pages
ISBN-10: 1484265211
ISBN-13: 9781484265215
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.
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
