Название: Quantum Artificial Intelligence with Qiskit Автор: Andreas Wichert Издательство: CRC Press Год: 2024 Страниц: 326 Язык: английский Формат: pdf (true) Размер: 14.2 MB
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 at github.com/andrzejwichert/qai.
Quantum Artificial Intelligence (QAI) is a new interdisciplinary research field that combines Quantum Computing with Artificial Intelligence (AI). It aims to use the unique properties of quantum computers, which leverage quantum mechanical effects (such as superposition and entanglement) to enhance the capabilities of AI systems. In QAI, progress is being made quickly. What was a scientific dream some years ago is becoming more real, and you are now (by reading this book) at the forefront of the revolution in QAI.
Quantum algorithms for AI have been proposed, including a quantum tree search algorithm and a quantum production system that will be demonstrated by Qiskit simulation step by step. Qiskit is an open-source software development kit (SDK) for working with quantum computers at the level of circuits and algorithms, IBM Quantum, quantum-computing.ibm.com. It provides tools for creating and manipulating quantum programs and running them on prototype quantum devices on IBM Quantum Experience or on simulators on a local computer. It follows the quantum circuit model for universal quantum computation and can be used for any quantum hardware that follows this model. Qiskit is based on Python and you can find all information about it at qiskit.org.
This book provides tools for creating and manipulating quantum programs and running them on prototype quantum devices or simulators on a local computer, such as a simple personal laptop. It follows the quantum circuit model for universal quantum computation and can be used with any quantum hardware that follows this model. You can download all the examples (Jupyter notebooks) from the book GitHub.
In the book, we will introduce quantum computation and its application to AI. AI can be divided into different areas: Symbolical Artificial Intelligence and Machine Learning (ML), the same is true for the 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.
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Quantum Machine Learning with Python Название: Quantum Machine Learning with Python: Using Cirq from Google Research and IBM Qiski Автор: Santanu Pattanayak Издательство: Apress Год:...
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Quantum Artificial Intelligence with Qiskit 
