Coherent control using adaptive learning algorithms

TLDR

An adaptive learning algorithm directs an acousto‑optic modulator pulse shaper to iteratively reshape intense ultrafast laser pulses, using system measurements as feedback to steer quantum systems toward a desired state. The apparatus successfully automates control of quantum systems.

Abstract

We have constructed an automated learning apparatus to control quantum systems. By directing intense shaped ultrafast laser pulses into a variety of samples and using a measurement of the system as a feedback signal, we are able to reshape the laser pulses to direct the system into a desired state. The feedback signal is the input to an adaptive learning algorithm. This algorithm programs a computer-controlled, acousto-optic modulator pulse shaper. The learning algorithm generates new shaped laser pulses based on the success of previous pulses in achieving a predetermined goal.