We reconstruct a quantum state from measurements with shallow neural networks. We apply both a supervised approach with feedforward networks and an unsupervised approach with autoencoders (shown below).
An Encoder
Single and two qubit systems are considered.
One datapoint
(
In the supervised approach a feedforward network reconstructs a given state representation
An encoder maps the measurement data
Bachelor's degree in physics at the University of Innsbruck
Supervised by Prof. Dr. Hans J. Briegel and Hendrik Poulsen Nautrup, PhD