Researchers need tools for predicting whether a given quantum device will have a quantum advantage and actually operates faster than a conventional computer.
One of the ways to implement quantum computations is quantum walks. The method can be visualized as a particle traveling in a certain network that underlies a quantum circuit. If a particle’s quantum walk from one network node to another happens faster than its classical analogue, a device based on that circuit will have a quantum advantage.
Russian researchers from the Moscow Institute of Physics and Technology, Valiev Institute of Physics and Technology and ITMO University have created a neural network that learned to predict the behavior of a quantum system by analyzing its network structure. The neural network autonomously finds solutions that are well-adapted to quantum advantage demonstrations.
The findings are reported in the New Journal of Physics.