Quantum Artificial Intelligence with Qiskit

[Farid]

Quantum Artificial Intelligence with Qiskit | 326 | Andreas Wichert | 2021 | Apress | 9781484265215

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
✅ Who This Book Is For
Machine Learning enthusiasts and engineers who want to quickly scale up to Quantum Machine Learning

Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines quantum computing with Artificial Intelligence (AI), aiming to use the unique properties of quantum computers to enhance the capabilities of AI systems. This book provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer.

Introducing symbolical quantum algorithms, sub symbolical quantum algorithms and quantum Machine Learning (ML) algorithms, this book explains each process step-by-step with associated QISKIT listings. All examples are additionally available for download athttps://github.com/andrzejwichert/qai.

Allowing readers to learn the basic concepts of quantum computing on their home computer, this book is accessible both the general readership as well as students and instructors of courses relating to computer science and artificial intelligence.



✅ Contents of Download:
⭐️ Quantum Artificial Intelligence with Qiskit.pdf (14.21 MB)

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✅ Quantum Artificial Intelligence with Qiskit (14.21 MB)

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