JEMTEC

  Quantum Machine Learning (QML) is an emerging interdisciplinary field that combines the computational principles of quantum computing with modern machine learning (ML). While classical ML relies on traditional digital computing models, QML utilizes quantum mechanical phenomena such as superposition , entanglement , and quantum parallelism to potentially accelerate learning and inference processes. With the rapid advancement of quantum processors by companies such as IBM, Google, and others, QML has become one of the most promising frontiers in Artificial Intelligence research. At its core, QML seeks to use quantum computers to perform ML tasks faster than classical systems or to solve problems that are computationally intractable today. Classical algorithms often suffer from the “curse of dimensionality,” especially when dealing with extremely large datasets or high-dimensional feature spaces. Quantum systems, however, operate naturally in high-dimensional Hilbert spaces, whi...