Quantum theory can accelerate machine learning and determine the intelligence of your iPhone, say Skolkovo scientists

In a new paper published in the Nature magazine, a group of scientists led by Jacob Biamonte, an associate professor at Skolkovo Institute of Technology (Skoltech), analyzed what steps can be taken to make the most of quantum enhanced machine learning. This a major contributon to help us better understand quantum enhanced machine learning, writes Russia Beyond The Headlines.

According to Skoltech scientists, quantum systems can be mapped to machine learning models, particularly deep learning models. They believe quantum machine learning can work in tandem with existing methods for quantum chemical emulation, leading to even greater capabilities for a new era of quantum technology.