Combarro, Elías F.
A Practical Guide to Quantum Machine Learning and Quantum Optimization: Hands-on Approach to Modern Quantum Algorithms
- ISBN 13:
- 9781804613832
- author:
- Combarro, Elías F.
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2023
- Pages:
- 680
- Dimensions:
- 23.5 x 19.1 x 3.5 centimetres (1
- Genre:
- Computers, General, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
A Practical Guide to Quantum Machine Learning and Quantum Optimisation is a comprehensive guide to modern quantum algorithms that can be used to solve real-world problems. With this book, you'll learn the principles behind quantum algorithms and optimization with minimal mathematical prerequisites.
Through hands-on examples and ready-to-use code, you'll discover many algorithms, tools, and methods to model optimization problems using QUBO and Ising formalisms, as well as solve optimization problems with quantum annealing, QAOA, Grover Adaptive Search (GAS), and VQE. You'll also learn how to train quantum machine learning models.
By the end of this book, you'll build a solid foundation in quantum computing and gain programming skills to apply quantum methods to solve practical problems right away, using frameworks such as IBM's Qiskit, Xanadu's PennyLane, and D-Wave's Leap.
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