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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Edward Farhi.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Zhao, Fen, 1982-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Physics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Physics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2006-05-15T20:27:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2006-05-15T20:27:20Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2004</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2004</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">56747648</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2004.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 47-48).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, we present a quantum walk algorithm for spatial search of a periodic lattice. Our algorithm is a variation of the Childs and Goldstone algorithm for spatial search, but begins in a randomly selected local initial state rather than a uniformly delocalized one. We analytically calculate the running time of our algorithm on the complete graph and find it to be O([square root]N). We reduce the analysis of our algorithm to that of the Childs and Goldstone algorithm by comparing the eigenvalue conditions of the Hamiltonians used in the two algorithms. We numerically show that the two Hamiltonians have similar eigenvalue conditions when the starting state is a certain extremal vertex of the lattice. We also study the behavior of the algorithm when we move the start state away from this extremal vertex. Finally, we numerically analyze the behavior of our algorithm on 5 and 4 dimensional lattices. In the 5 dimensional case, we appear to be able to achieve a O([square root]N) running time. In the 4 dimensional case, previous analysis indicates there may be additional factors of logc N in the running time of our algorithm. Numerically, we are not able to determine whether this logarithmic factor exists. However, the numerical evidence does indicate that the running time of our algorithm is O([square root]N), up to some factor of logc N.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Fen Zhao.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.B.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">48 p.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Physics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Spatial search by quantum walk with a randomized local start state</dim:field>
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   	&lt;Title>Spatial search by quantum walk with a randomized local start state&lt;/Title>
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   	&lt;PublicationDate>2004&lt;/PublicationDate>
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        	&lt;DisplayName>Zhao, Fen, 1982-&lt;/DisplayName>
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    &lt;Keyword>Physics.&lt;/Keyword>
   	&lt;Abstract>In this thesis, we present a quantum walk algorithm for spatial search of a periodic lattice. Our algorithm is a variation of the Childs and Goldstone algorithm for spatial search, but begins in a randomly selected local initial state rather than a uniformly delocalized one. We analytically calculate the running time of our algorithm on the complete graph and find it to be O([square root]N). We reduce the analysis of our algorithm to that of the Childs and Goldstone algorithm by comparing the eigenvalue conditions of the Hamiltonians used in the two algorithms. We numerically show that the two Hamiltonians have similar eigenvalue conditions when the starting state is a certain extremal vertex of the lattice. We also study the behavior of the algorithm when we move the start state away from this extremal vertex. Finally, we numerically analyze the behavior of our algorithm on 5 and 4 dimensional lattices. In the 5 dimensional case, we appear to be able to achieve a O([square root]N) running time. In the 4 dimensional case, previous analysis indicates there may be additional factors of logc N in the running time of our algorithm. Numerically, we are not able to determine whether this logarithmic factor exists. However, the numerical evidence does indicate that the running time of our algorithm is O([square root]N), up to some factor of logc N.&lt;/Abstract>
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