Used quantum generative adversarial networks for portfolio optimisation
We built an exploratory project applying qGANs and VQE to solve the mean-variance portfolio
problem. This placed our team in the 95th percentile of participants in the QHack quantum machine learning hackathon winning over $4000 in
An alternative search engine that we’ve developed & trialed, allowing rural South Africans with
a mobile phone to be able to send internet search queries & receive back summarized results all
Placed top 3 in consulting challenge out of 150+ teams — project built as part of a TKS consulting challenge w/ United Nations.