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.
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.
The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.