Quantum Machine Learning with Quantum Cheshire Cat Generative AI Model: Quantum Mirage Data

Download or read book Quantum Machine Learning with Quantum Cheshire Cat Generative AI Model: Quantum Mirage Data written by Sri Amit Ray and published by Compassionate AI Lab. This book was released on 2024-01-05 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduced the concepts of Quantum Mirage Data and explained the details of a new model for Quantum Machine Learning using the concepts of Quantum Cheshire Cat phenomenon and Quantum Generative Adversarial Networks. In our Compassionate AI Lab, we conducted numerous experiments utilizing various datasets, and we observed significant enhancements in performance across multiple domains when compared to alternative models. Quantum Machine Learning with Quantum Cheshire Cat (QML-QCC) represents a significant advancement in the field of quantum machine learning, combining the fascinating Quantum Cheshire Cat phenomenon with Generative Adversarial Networks (GANs) in a seamless manner. This book presents a new era of machine learning by introducing the ground-breaking concept of Quantum Mirage Data. This innovative framework is designed to address key challenges in quantum computing, such as qubit decoherence, error correction, and scalability, while also incorporating machine learning capabilities to enhance the generation of quantum data and generative learning.