GENETIC ALGORITHMS AND OPTIMIZATION PROBLEMS IN QUANTUM COMPUTING
Yorick Hardy, W.‐H. Steeb · International Journal of Modern Physics C · 2010
We solve a number of problems in quantum computing by applying genetic algorithms. We use the bitset class of C ++ to represent any data type for genetic algorithms. Thus we have a flexible way to solve any optimization problem. The Bell-CHSH inequality and entanglement measures are studied using genetic algorithms. Entangled states form the backbone for teleportation. The C ++ code is also provided.