Optimization of semiconductor quantum devices by evolutionary search
材料科学
2009-10-31 v1 介观与纳米尺度物理
摘要
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.
引用
@article{arxiv.cond-mat/0011404,
title = {Optimization of semiconductor quantum devices by evolutionary search},
author = {Guido Goldoni and Fausto Rossi},
journal= {arXiv preprint arXiv:cond-mat/0011404},
year = {2009}
}
备注
4 pages, 2 figures