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Method for applying adaptive control...

Holland, Nathan David.

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Method for applying adaptive control theory to quantum systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Method for applying adaptive control theory to quantum systems./
作者:	Holland, Nathan David.
面頁冊數:	125 p.
附註:	Source: Masters Abstracts International, Volume: 54-05.
Contained By:	Masters Abstracts International54-05(E).
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1589771
ISBN:	9781321780376

Method for applying adaptive control theory to quantum systems.
Holland, Nathan David.

Method for applying adaptive control theory to quantum systems. - 125 p.

Source: Masters Abstracts International, Volume: 54-05.

Thesis (M.S.)--Texas A&M University - Kingsville, 2015.

Control in quantum systems is proving to be one of the top challenges in the computing world as scalability of qubits in quantum computers increase. This thesis has focused on understanding quantum control methods and contribute further understanding to progress this very important step in advancing computers. By applying principles from adaptive and Lyapunov-based control to the effect on particle states within a closed quantum system as defined by the Schrodinger equation, it will be possible to see the precise boundaries of creating various control laws as states change over time. The benefits for these methods will be used in trajectory tracking and state targeting as applied to Schrodinger's time dependent equation and simulated with pre-defined evolving Hamiltonian eigenstates to create reference and error control between target and system states. The analysis of this closed quantum system will be useful in applying similar methods in more tedious, externally influenced, open quantum systems.

ISBN: 9781321780376Subjects--Topical Terms:

649834
Electrical engineering.

Method for applying adaptive control theory to quantum systems.
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500 $a Adviser: Lifford McLauchlan.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2015.
520 $a Control in quantum systems is proving to be one of the top challenges in the computing world as scalability of qubits in quantum computers increase. This thesis has focused on understanding quantum control methods and contribute further understanding to progress this very important step in advancing computers. By applying principles from adaptive and Lyapunov-based control to the effect on particle states within a closed quantum system as defined by the Schrodinger equation, it will be possible to see the precise boundaries of creating various control laws as states change over time. The benefits for these methods will be used in trajectory tracking and state targeting as applied to Schrodinger's time dependent equation and simulated with pre-defined evolving Hamiltonian eigenstates to create reference and error control between target and system states. The analysis of this closed quantum system will be useful in applying similar methods in more tedious, externally influenced, open quantum systems.
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