In recent years, the field of machine learning has seen a significant shift towards quantum computing. With the increasing demand for more efficient and accurate algorithms, quantum machine learning has emerged as a promising solution. This technology has the potential to revolutionize the way we process and analyze data, leading to the development of new applications and systems.
Quantum machine learning is a subfield of quantum computing that focuses on developing algorithms and models that can be run on quantum computers. These algorithms are designed to take advantage of the unique properties of quantum mechanics, such as superposition and entanglement, to perform computations that are not possible with classical computers.