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Exponential algorithmic speedup by a quantum walk
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Source Annual ACM Symposium on Theory of Computing archive
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
Authors
Andrew M. Childs  Massachusetts Institute of Technology, Cambridge, MA
Richard Cleve  University of Calgary, Calgary, Alberta, Canada
Enrico Deotto  Massachusetts Institute of Technology, Cambridge, MA
Edward Farhi  Massachusetts Institute of Technology, Cambridge, MA
Sam Gutmann  Northeastern University, Boston, MA
Daniel A. Spielman  Massachusetts Institute of Technology, Cambridge, MA
Sponsors
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 11,   Downloads (12 Months): 97,   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

Collaborative Colleagues:
Andrew M. Childs: colleagues
Richard Cleve: colleagues
Enrico Deotto: colleagues
Edward Farhi: colleagues
Sam Gutmann: colleagues
Daniel A. Spielman: colleagues