Machine Learning is Playing a Part in Quantum Computing

Quantum science is still a relatively unknown area, yet with the help of machine learning, scientists are hoping to be on the threshold of a giant leap forward in the field. Scientists from the University of Bristol are working with researchers from Microsoft's Quantum Architectures and Computation Group, and others from the Eindhoven University of Technology, on quantum-enhanced machine learning technology to be used inside a quantum processor. They're hoping that it will allow them to find out more about quantum systems and get to the bottom of the mysterious realm on the very edge of science. One of the main reasons behind the use of machine learning is that traditional computer systems are simply not equipped to handle the heavy workload. According to the University of Bristol's website, the scientists have used something they refer to as a, "reprogrammable two-qubit silicon quantum photonic processor" – which sounds like something taken directly out of a science-fiction film – and "is characterised and certified with the use of a type of machine learning approach, called Bayesian inference".