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Can I read A Practical Guide to Quantum Machine Learning and Quantum Optimisation: Hands-on Approach to Modern Quantum Algorithms on EtoBox?

A Practical Guide to Quantum Machine Learning and Quantum Optimisation: Hands-on Approach to Modern Quantum Algorithms by Elías F. Combarro, Samuel González-Castillo is a nonfiction available to read on EtoBox.

What is A Practical Guide to Quantum Machine Learning and Quantum Optimisation: Hands-on Approach to Modern Quantum Algorithms about?

Work with fully explained algorithms and ready-to-use examples that can be run on quantum simulators and actual quantum computers with this comprehensive guide Key Features• Get a solid grasp of the principles behind quantum algorithms and optimization with minimal mathematical prerequisites• Learn the process of implementing the algorithms on simulators and actual quantum computers• Solve real-world problems using practical examples of methods This book provides deep coverage of modern quantum algorithms that can be used to solve real-world problems. You'll be introduced to quantum computing using a hands-on approach with minimal prerequisites. You'll discover many algorithms, tools, and methods to model optimization problems with the QUBO and Ising formalisms, and you will find out how to solve optimization problems with quantum annealing, QAOA, Grover Adaptive Search (GAS), and VQE. This book also shows you how to train quantum machine learning models, such as quantum support vector machines, quantum neural networks, and quantum generative adversarial networks. The book takes a straightforward path to help you learn about quantum algorithms, illustrating them with code that's re

Who reads A Practical Guide to Quantum Machine Learning and Quantum Optimisation: Hands-on Approach to Modern Quantum Algorithms?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Elías F. Combarro, Samuel González-Castillo
Publisher
Packt Publishing, Limited
Published
2023
Language
EN
ISBN
9781804613832
Category
nonfiction
Subjects
Engineering, Mathematics, Language Learning

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