WITHDRAWN: Advanced patterns of predictions and cavernous data analytics using quantum machine learning

Abstract

Machine Learning is one of the prominent areas of research in knowledge discovery and in identification of hidden patterns from the datasets. Machine Learning focuses on the training of intelligent models so that the prediction can be accurate and fast. Machine Learning learns from the data and then gets trained for prediction. For example, the preferences of the customers are fetched from the existing records based on interests of similar customers. Quantum Machine Learning is a scientific area in which quantum computation and machine learning interplay concepts are explored. For instance, we may want to figure out if quantum computers can speed up the time it takes for a machine learning model to train or test. In the other hand, to help us discover quantum error correction codes, approximate the properties of quantum systems, or develop new quantum algorithms, we will use techniques from machine learning. This manuscript is focusing on the advanced segments of knowledge discovery using Quantum Computing and associated Quantum Machine Learning with real-world scenarios.