Optimization of semiconductor quantum devices by evolutionary search

Details Optimization of semiconductor quantum devices by evolutionary search Optimization of semiconductor quantum devices by evolutionary search

2000-11-23

arxiv.org/abs/cond-mat/0011404v1

Optics Lett., vol. 25, 1025 (2000)

Physics

Condensed Matter

Materials Science

4 pages, 2 figures

Scientific paper

10.1364/OL.25.001025

A novel simulation strategy is proposed to search for semiconductor quantum devices which are optimized with respect to required performances. Based on evolutionary programming, a tecnique implementing the paradigm of genetic algorithms to more complex data structures than strings of bits, the proposed algorithm is able to deal with quantum devices with preset non-trivial constraints (transition energies, geometrical requirements, etc.). Therefore, our approach allows for automatic design, thus avoiding costly by-hand optimizations. We demonstrate the advantages of the proposed algorithm by a relevant and non-trivial application, the optimization of a second-harmonic-generation device working under resonance conditions.

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