Harnessing The Power Of Data In Quantum Machine Learning

Advancements in quantum computing have increased the expectation for its future influence in real-world applications. Significant efforts are being undertaken to examine the use of quantum computing in machine learning, as it might provide a quantum edge in the NISQ era. Furthermore, the application of enhancement techniques may help improve the training methods of the present classical models. Yet another technique uses quantum models to create correlations between difficult to describe variables by classical computation (for example, quantum neural networks). Quantum computers can handle correlations and input complexities well beyond those of a'classical' computer, and this has been proved recently through numerous researches.