Is there any example of quantum clustering algorithm written in Julia? Ideally something that is automatically determining number of clusters?
This is my first step into quantum computing so I hope the question is not entirely from a different universe. I would like to test it, hopefully use it on a daily basis in one of my programs.
I don’t think you will benefit from it for using it as daily basis tho, whether there is a quantum clustering has an advantage (say exponentially faster) on real-world data is not known yet. Or on the other hand, if there is a quantum clustering algorithm that provides better results is not known yet. at least within my own knowledge. There are a few review papers on ICML etc. such as https://icml.cc/imls/conferences/2007/proceedings/papers/518.pdf if you want to know the details, some are based on Grover search algorithm, which you can find implementation in Yao: QuAlgorithmZoo.jl/examples/Grover at master · QuantumBFS/QuAlgorithmZoo.jl · GitHub
but we don’t have a quantum clustering algorithm implement, but if someone wants to try you are definitely welcome to contribute to the algorithm zoo repo.
Thank you for the information and really sorry for a delay in reply (holiday time). I do calculations on an advanced ensemble data however as for the clustering I am operating on small preprocessed amount of data so the speed is not a crucial factor for me. I was looking at it mostly out of curiosity and due to the reason that this kind of computing might be suitable for a hobby project I am interested in, thus was my question. I will review provided documents and also take a look at some of my books as I saw there quantum clustering examples written in Python and other languages. I hope to get deeper into a subject related to quantum clustering, however, I would like to emphasize that writing a package, even not quantum, would be a very challenging topic for me as there seem to be a lot of new things for me associated with this subject so as for now, I am not sure about it.