This was my first foray into writing a paper, and while there are many points of improvement, I learned a huge amount about how I can formalise my thinking and my presentation.

I looked into how one can solve constraint systems more efficiently with quantum computers, leveraging the different architectures in these systems to allow for many computations to be skipped. I specifically looked into the general idea of applying grover's algorithm to constraint satisfaction.

When I began my exploration, I was just working with my own processes and comfortabilities, but as I read more, and learned about how papers are written, I took steps to formailise my writing.

In this project, there were many hurdles, we aimed to grow our own slime moulds but did not manage to do so since we didn't get them until our 6th week of 7. However, I did manage to spend time developing a slime mould simulation. They are an interesting point of research since they can be emulated with celular automata. They have certain emergent behaviours such as path finding, and optimisation, from very simple rules. These enable a lot of organic structures to form.

They utilise two automata, the individual cells of the mould, and the scent map. The cells first move, sensing the scent map, to follow other cells, and then they distribute a certain amount of scent every frame. These two behaviours enable them to create branching structures.