Analysis of Photoluminescence measurement data from interdiffused Quantum Wells using Adaptive Real coded Quantum inspired Evolutionary Algorithm

Reliable analysis of any experimental data is always difficult due to the presence of noise and other types of errors. This paper analyzes data obtained from photoluminescence measurement, after annealing of interdiffused Quantum Well hetrostructures, using an Adaptive Real coded Quantum inspired Evolutionary Algorithm (ARQiEA). The proposed algorithm directly computes interdiffusion parameters without using Arrhenius plot. Further, the results obtained have been compared with those reported with Genetic Algorithm and Least Square Analysis methods. The ARQiEA is suitable for parameter estimation problems as it is free from parameter fine-tuning and provides result with least overall error. 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research ACAT 2010 Jaipur, India February 22–27 2010