توضیحات
The book provides an in-depth look at how quantum computing principles can enhance machine learning algorithms, offering faster processing and improved performance for large-scale data analysis. It covers key concepts such as quantum algorithms, quantum data encoding, and hybrid quantum-classical models. Readers will gain insights into practical applications in optimization, pattern recognition, and artificial intelligence. This resource is ideal for students, researchers, and professionals interested in the cutting-edge intersection of quantum computing and machine learning.









نقد و بررسیها
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