DocumentCode
2695898
Title
Applying evolutionary techniques to quantum computing problems
Author
Hutsell, Steven R. ; Greenwood, Garrison W.
Author_Institution
Portland State Univ., Portland
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
4081
Lastpage
4085
Abstract
A new approach based on Evolution Strategies (ES) is proposed to evolve quantum unitary operators which represent the computational algorithm a quantum computer would perform to solve an arbitrary problem. This approach has superior attributes over previous endeavors by using real valued vectors and not limited to a predefined set of quantum gates. We show this method can be used to solve a variety of key problems from evolving simple quantum gates, quantum oracles, to generalized problem instances. This method is highly extensible and useful for propagating future research of quantum unitary operator development.
Keywords
quantum computing; evolution strategies; quantum computing problems; quantum gates; quantum oracles; quantum unitary operators; real valued vectors; Coupling circuits; Cryptography; Design methodology; Fourier transforms; Genetic algorithms; Genetic programming; Parallel processing; Quantum computing; Quantum mechanics; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4425003
Filename
4425003
Link To Document