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TU Dresden » Faculty of Mechanical Science and Engineering » Institute for Materials Science » Chair of Materials Science and Nanotechnology

Friday, 24 June 2016
(at 13:00 in room 115, Hallwachsstr. 3)
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Pulse optimisation using Gaussian processes

Mehrdad Baghery

Max Planck Institute for the Physics of Complex Systems, Dresden, Germany

Finding the minimum of functions is crucial to many problems in ranging from astrophysics to quantum optimal design. Unfortunately, not always are these functions cheap-to-evaluate, which means the minimum has to be found by making as few observations as possible.
To tackle this problem, we use an auxiliary function (expressed as a Gaussian process) to mimic the original function as observations are made. This function is relatively cheap-to-evaluate, and more importantly, has analytic derivatives. Therefore, it is possible to find the minimum of this auxiliary function using textbook gradient-based minimisation algorithms. If an enough number of observations have been made, the minimum of this auxiliary function is the minimum of the original function.
As an application of this algorithm in physics, we find a laser pulse envelope which, when shone on a hydrogen atom, maximises the ionisation.

Announcement (pdf)

Brief Bio:

Invited by G. Cuniberti

Within the nanoSeminar

last modified: 2021.10.02 Sat
author: webadmin