Study and Implementation of Quantum AI Algorithms and Comparison with Classical AI Algorithms

TensorFlow and TensorFlow Quantum are two frameworks developed by Google that provide powerful tools for machine learning and quantum machine learning, respectively. While both are based on the same foundational concepts of tensors and automatic differentiation, they differ in their approach to modeling data and computation.While TensorFlow and TensorFlow Quantum share some similarities in terms of their underlying principles, they are designed to address distinct problem domains. Understanding the differences between these two frameworks using the same dataset to compare the efficiency of both systems can help choose the right tool for specific needs, whether they are working on classical machine learning problems or exploring the potential of quantum computing.