| One-dimensional quantum walks |
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Annual ACM Symposium on Theory of Computing
archive
Proceedings of the thirty-third annual ACM symposium on Theory of computing
table of contents
Hersonissos, Greece
Pages: 37 - 49
Year of Publication: 2001
ISBN:1-58113-349-9
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Authors
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Andris Ambainis
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Computer Science Division, University of California, Berkeley, CA
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Eric Bach
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Computer Sciences Department, University of Wisconsin, Madison, WI
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Ashwin Nayak
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Computer Science Department, Caltech, MC 256-80, Pasadena, CA
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Ashvin Vishwanath
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Joseph Henry Laboratories, Department of Physics, Princeton University, Princeton, NJ
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John Watrous
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Department of Computer Science, University of Calgary, Calgary, Alberta, Canada T2N 1N4
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| Bibliometrics |
Downloads (6 Weeks): 10, Downloads (12 Months): 78, Citation Count: 15
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ABSTRACT
We define and analyze quantum computational variants of random walks on one-dimensional lattices. In particular, we analyze a quantum analog of the symmetric random walk, which we call the Hadamard walk. Several striking differences between the quantum and classical cases are observed. For example, when unrestricted in either direction, the Hadamard walk has position that is nearly uniformly distributed in the range [-t/\sqrt 2, t/\sqrt 2] after t steps, which is in sharp contrast to the classical random walk, which has distance O(\sqrt t) from the origin with high probability. With an absorbing boundary immediately to the left of the starting position, the probability that the walk exits to the left is 2/&pgr, and with an additional absorbing boundary at location n, the probability that the walk exits to the left actually increases, approaching 1/\sqrt 2 in the limit. In the classical case both values are 1.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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R. Aleliunas, R. Karp, R. Lipton, L. Lovasz, and C. Racko. Random walks, universal traversal sequences, and the time complexity of maze problems. In Proceedings of the 20th Annual Symposium on Foundations of Computer Science, pages 218-223, 1979.
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4
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C. Bender and S. Orszag. Advanced Mathematical Methods for Scientists and Engineers. International Series in Pure and Applied Mathematics. McGraw-Hill, Inc., New York, 1978.
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5
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N. Bleistein and R. Handelsman. Asymptotic Expansions of Integrals. Holt, Rinehart and Winston, New York, 1975.
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6
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A. Childs, E. Farhi, S. Gutmann. An example of the difference between quantum and classical random walks. LANL preprint archive, quant-ph/0103020.
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7
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8
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E. Coffman and G. Lueker. Probabilistic Analysis of Packing and Partitioning Algorithms. Wiley, 1991.
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9
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P. Diaconis. Group Representations in Probability and Statistics, volume 11 of Lecture Notes-Monograph Series. Institute of Mathematical Statistics, Hayward, California, 1988.
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10
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11
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H. Dym and H. P. McKean. Fourier Series and Integrals, volume 14 of Probability and Mathematical Statistics. Academic Press, New York, 1972.
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12
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E. Farhi and S. Gutmann. Quantum computation and decision trees. Physical Review A, 58:915-928, 1998.
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13
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R. Feynman and A. Hibbs. Quantum Mechanics and Path Integrals. McGraw-Hill, 1965.
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14
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W. Gosper. Decision procedure for indefinite hypergeometric summation. In Proceedings of the National Academy of Sciences of U.S.A., volume 75, pages 40-42, 1978.
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15
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16
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17
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18
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19
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20
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21
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J. Kemeny and J. Snell. Finite Markov Chains. Springer-Verlag, 1983.
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22
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G. Louchard. The brownian motion: a neglected tool for the complexity analysis of sorted tables manipulation. RAIRO Inform. Th., 17(4), 1983.
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23
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24
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D. Meyer. From quantum cellular automata to quantum lattice gases. Journal of Statistical Physics, 85:551-574, 1996. Also available from the Los Alamos Preprint Archive, quant-ph/9604003.
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25
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26
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A. Nayak and A. Vishwanath. Quantum walk on the line. In preparation. Preliminary version available from the Los Alamos Preprint Archive, quant-ph/0010117.
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27
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28
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T. L. Saaty, Modern Nonlinear Equations. Dover Publications, 1981.
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29
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30
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G. Szego, Orthogonal Polynomials, AMS, 4th edition, 1975.
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31
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E. C. Titchmarsh. The Theory of Functions. Oxford University Press, 2nd edition, 1979.
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32
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33
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CITED BY 15
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Andrew M. Childs , Richard Cleve , Enrico Deotto , Edward Farhi , Sam Gutmann , Daniel A. Spielman, Exponential algorithmic speedup by a quantum walk, Proceedings of the thirty-fifth annual ACM symposium on Theory of computing, June 09-11, 2003, San Diego, CA, USA
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Frederic Magniez , Ashwin Nayak , Jeremie Roland , Miklos Santha, Search via quantum walk, Proceedings of the thirty-ninth annual ACM symposium on Theory of computing, June 11-13, 2007, San Diego, California, USA
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Frédéric Magniez , Ashwin Nayak , Peter C. Richter , Miklos Santha, On the hitting times of quantum versus random walks, Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms, p.86-95, January 04-06, 2009, New York, New York
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