Robust Quantum Control for Quantum Information Systems

45 mins 18 secs, 659.16 MB, MPEG-4 Video 640x360, 29.97 fps, 44100 Hz, 1.94 Mbits/sec

Share this media item:

Embed this media item:

<iframe width="_width_" height="_height_" src="https://sms.cam.ac.uk/media/1775138/embed" frameborder="0" scrolling="no" allowfullscreen></iframe>

Choose size:

About this item

Available Formats

About this item

Description:	Kosut, R (SC Solutions) Thursday 07 August 2014, 09:00-09:40


Created:	2014-08-12 17:36
Collection:	Quantum Control Engineering: Mathematical Principles and Applications
Publisher:	Isaac Newton Institute
Copyright:	Kosut, R
Language:	eng (English)


Abstract:	Co-authors: Matthew Grace (Sandia National Laboratories), Constantin Brif (Sandia National Laboratories), Hersch Rabitz (Princeton University) In a 1985 paper in Optics News entitled ``Quantum Mechanical Computers,'' Richard Feynman described how a computer could be built upon the mathematical principles of quantum mechanics. But he also heralded the difficulties in an actual physical implementation: ``This computer seems to be very delicate and these imperfections may produce considerable havoc.'' This talk will describe our on-going efforts to alleviate the potential ``havoc'' by appealing to robust control design, both model-based and data-based. The model-based approach relies on uncertainty modeling, i.e., values of parameters and noise sources in the model are unknown but contained in bounded sets. Sequential convex programming (SCP) is used to find controls which maximize fidelity despite the uncertainty. From an available set of input/observable pairs, the same type of model is used to estimate fidelity as well as refine knowledge about uncertain parameters, thereby leading to a more robust control providing increased performance.

Abstract:

Co-authors: Matthew Grace (Sandia National Laboratories), Constantin Brif (Sandia National Laboratories), Hersch Rabitz (Princeton University)

In a 1985 paper in Optics News entitled ``Quantum Mechanical Computers,'' Richard Feynman described how a computer could be built upon the mathematical principles of quantum mechanics. But he also heralded the difficulties in an actual physical implementation: ``This computer seems to be very delicate and these imperfections may produce considerable havoc.'' This talk will describe our on-going efforts to alleviate the potential ``havoc'' by appealing to robust control design, both model-based and data-based. The model-based approach relies on uncertainty modeling, i.e., values of parameters and noise sources in the model are unknown but contained in bounded sets. Sequential convex programming (SCP) is used to find controls which maximize fidelity despite the uncertainty. From an available set of input/observable pairs, the same type of model is used to estimate fidelity as well as refine knowledge about uncertain parameters, thereby leading to a more robust control providing increased performance.

Available Formats

Format	Quality	Bitrate	Size
MPEG-4 Video *	640x360	1.94 Mbits/sec	659.16 MB	View	Download
WebM	640x360	640.99 kbits/sec	212.75 MB	View	Download
iPod Video	480x270	522.26 kbits/sec	173.28 MB	View	Download
MP3	44100 Hz	249.75 kbits/sec	82.96 MB	Listen	Download
Auto	(Allows browser to choose a format it supports)