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a practical guide to quantum machine learning and quantum optimization pdf
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A Practical Guide to Quantum Machine Learning and Quantum Optimization is an ebook that provides a hands-on approach to modern quantum algorithms, focusing on their application in solving real-world problems. This guide is advantageous as it offers detailed explanations of various quantum algorithms, practical examples, and the ability to run these algorithms on simulators and actual quantum computers, making it accessible for both beginners and experienced practitioners in the field. However, some disadvantages may include the potential complexity of the subject matter, which could be challenging for those without a strong background in quantum mechanics or machine learning, and the rapidly evolving nature of the field, which may lead to the content becoming outdated quickly. The ebook consists of approximately 300 pages, providing a comprehensive overview of the topics covered. The ISBN for this ebook is 9781804613832, which can be used for reference or purchasing purposes.
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