Title :
Evolution of quantum computer algorithms from reversible operators
Author :
Surkan, Alvin J. ; Khuskivadze, Amiran
Author_Institution :
Dept. of Comput. Sci., Nebraska Univ., Lincoln, NE, USA
Abstract :
An application of an evolutionary approach to hardware design is presented. A genetic algorithm was developed to discover good designs for quantum computer algorithms. The algorithms are expressed as quantum operator sequences applied in a circuit model. The circuits discovered are configurations of special purpose quantum computers. We have been exploring the evolution of algorithms as alternative configurations of hardware. By simulation it is established that the circuits will correctly compute a small collection of basic, low-level functions. Experiments produced designs for primitive quantum computers that evaluate logical or arithmetic functions with a total of twelve or fewer inputs and outputs.
Keywords :
evolutionary computation; genetic algorithms; quantum computing; arithmetic functions; evolutionary approach; genetic algorithm; hardware design; quantum computer algorithms; quantum operator sequences; reversible operators; simulation; Algorithm design and analysis; Application software; Circuit simulation; Circuit synthesis; Circuit testing; Computational modeling; Genetic algorithms; Genetic programming; Hardware; Quantum computing;
Conference_Titel :
Evolvable Hardware, 2002. Proceedings. NASA/DoD Conference on
Print_ISBN :
0-7695-1718-8
DOI :
10.1109/EH.2002.1029884