Quantum Machine Learning With Python Using Cirq From Google Research And IBM Qiskit(1st Edition)
Authors:
Santanu Pattanayak
In Stock: 2 Left
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Solution Manual Includes
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$9.99
Book details
ISBN: 1484265211, 9781484265215
Book publisher: Apress
Book Price $0 : Santanu Pattanayak's 'Quantum Machine Learning With Python Using Cirq From Google Research And IBM Qiskit' offers an insightful primer into the converging fields of quantum computing and machine learning, with a detailed exploration of practical implementations using Python. This book stands out as a crucial resource for developers and researchers seeking to harness the quantum capabilities offered by frameworks such as Google Cirq and IBM Qiskit. Pattanayak meticulously guides readers through the complexities of quantum algorithms and their transformation into executable machine learning models. The text functions both as a theoretical foundation and a comprehensive 'solution manual', covering core concepts of quantum theory, qubits, quantum gates, and entanglement, while offering an 'Answer Key' to the challenging questions of how quantum principles can revolutionize learning algorithms. The 'table of content' is logically constructed, leading readers from the basics through advanced applications, emphasizing hands-on Python programming examples and exercises. This book is pivotal for those diving deep into the potential of quantum-enhanced AI, providing step-by-step solutions and insights into future trends. The reception among practitioners in the field highlights its practicality and depth as a reference point for future advancements. This resource introduces cheap and accessible techniques aiding learners with limited academic support.
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