| Exponential algorithmic speedup by a quantum walk |
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Annual ACM Symposium on Theory of Computing
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Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
table of contents
San Diego, CA, USA
SESSION: Session 2A
table of contents
Pages: 59 - 68
Year of Publication: 2003
ISBN:1-58113-674-9
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Authors
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Andrew M. Childs
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Massachusetts Institute of Technology, Cambridge, MA
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Richard Cleve
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University of Calgary, Calgary, Alberta, Canada
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Enrico Deotto
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Massachusetts Institute of Technology, Cambridge, MA
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Edward Farhi
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Massachusetts Institute of Technology, Cambridge, MA
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Sam Gutmann
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Northeastern University, Boston, MA
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Daniel A. Spielman
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Massachusetts Institute of Technology, Cambridge, MA
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| Bibliometrics |
Downloads (6 Weeks): 11, Downloads (12 Months): 88, Citation Count: 11
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ABSTRACT
We construct a black box graph traversal problem that can be solved exponentially faster on a quantum computer than on a classical computer. The quantum algorithm is based on a continuous time quantum walk, and thus employs a different technique from previous quantum algorithms based on quantum Fourier transforms. We show how to implement the quantum walk efficiently in our black box setting. We then show how this quantum walk solves our problem by rapidly traversing a graph. Finally, we prove that no classical algorithm can solve the problem in subexponential time.
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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CITED BY 11
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Richard Cleve , Daniel Gottesman , Michele Mosca , Rolando D. Somma , David Yonge-Mallo, Efficient discrete-time simulations of continuous-time quantum query algorithms, Proceedings of the 41st annual ACM symposium on Theory of computing, May 31-June 02, 2009, Bethesda, MD, USA
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