74 citations · 492 across the 28 of their papers we have counts for
3 papers · 1 filter
Robust inference of memory structure for efficient quantum modelling of stochastic processes
Matthew Ho, Mile Gu, Thomas J. Elliott
A growing body of work has established the modelling of stochastic processes as a promising area of application for quantum techologies; it has been shown that quantum models are a…
Measures of distinguishability between stochastic processes
Chengran Yang, Felix C. Binder, Mile Gu +1
Quantifying how distinguishable two stochastic processes are lies at the heart of many fields, such as machine learning and quantitative finance. While several measures have been p…
Extreme dimensionality reduction with quantum modelling
Thomas J. Elliott, Chengran Yang, Felix C. Binder +3
Effective and efficient forecasting relies on identification of the relevant information contained in past observations -- the predictive features -- and isolating it from the rest…