Machine-Learning-Assisted Manipulation and Readout of Molecular Spin Qubits

Machine Learning finds application in the quantum control and readout of qubits. In this work we apply Artificial Neural Networks to assist manipulation a prototypical molecular spin qubit - an Oxovanadium(IV) moiety two experiments designed test amplitude phase recognition, respectively. We first successfully use artificial network analyze output Storage/Retrieval protocol with four input pulses recognize echo positions and, further post selection on results, infer initial pulse sequence. then Network ascertain experimentally measured Hahn echo, showing that it is possible correctly detect its additional single-pulse shifts added during manipulation.