The UK Quantum Hackathon, organised by the National Quantum Computing Centre (NQCC), brings together early-career researchers, end-user organisations and quantum computing providers to explore practical quantum computing use cases.
In this session, we reviewed ‘Latent Lie-Poisson Neural Networks (LLPNNs): Discovering the motion of Lie-Poisson systems through observable data and latent dynamics’, a paper on learning physical dynamics when the variables we can observe are not necessarily the full dynamical state.
In this session, we reviewed ‘Hilbert Operator for Progressive Encoding (HOPE): A Mathematical Framework for Deconstructing Learned Representations in Deep Networks’, a paper that uses model compression to study what neural networks have learned.