Research Oriented Reviewing of Quantum Machine Learning

Quantum machine learning is an interdisciplinary research domain that seeks to merge the concepts of quantum computing and learning. Owing computational complexity time constraints certain scientific chal- lenges, classical computation often inadequate, offers a promising alternative. Notable algorithms in learn- ing include versions algorithms, such as support vector machines, deep techniques, neural networks. The primary aim improve performance by leveraging com- puting. While there have been advances, still requires significant advancements hardware fully realize its potential.