Meta-genetic programming for static quantum circuits

Quantum programs are difficult for humans to develop due to their complex semantics that are rooted in quantum physics. It is there- fore preferable to write specifications and then use techniques such as genetic programming (GP) to generate quantum programs in- stead. We present a new genetic programming system for quantum circuits which can evolve solutions to the full-adder and quantum Fourier transform problems in fewer generations than previous work, despite using a general set of gates. This means that it is no longer required to have any previous knowledge of the solution and choose a specialised gate set based on it