Coherent control using adaptive learning algorithms

Brett J. Pearson, J. L. White, T. C. Weinacht, P. H. Bucksbaum

Physical Review A · 2001 · 182 citations · 26 references

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Concepts

TL;DR

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.

References

26