Application of genetic algorithm for evolution of quantum fourier transform circuits

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Abstract

Quantum Fourier Transform finds a variety of applications in quantum computing. It is the most important building block in a number of quantum algorithms like Shor’s algorithm, phase estimation algorithm, etc. This paper illustrates the ability of Genetic algorithm for evolving these quantum fourier transform circuits on a classical computer. Circuits for two, three, four, and five qubits have been discussed in the paper, however. the algorithm has been generalized for evolving circuits for any number of qubits.

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Satsangi, S., & Patvardhan, C. (2016). Application of genetic algorithm for evolution of quantum fourier transform circuits. In Advances in Intelligent Systems and Computing (Vol. 379, pp. 773–782). Springer Verlag. https://doi.org/10.1007/978-81-322-2517-1_74

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