Extreme dimensional compression with quantum modelling. - Thomas J. Elliott; Chengran Yang; Felix C. Binder; Andrew J. P. Garner; Jayne Thompson; Mile Gu (CoRR, 2019)

Robust inference of memory structure for efficient quantum modelling of stochastic processes. - Matthew Ho; Mile Gu; Thomas J. Elliott (CoRR, 2019)

Quantum-inspired identification of complex cellular automata. - Matthew Ho; Andri Pradana; Thomas J. Elliott; Lock Yue Chew; Mile Gu (CoRR, 2021)

Memory compression and thermal efficiency of quantum implementations of non-deterministic hidden Markov models. - Thomas J. Elliott (CoRR, 2021)

Quantum coarse-graining for extreme dimension reduction in modelling stochastic temporal dynamics. - Thomas J. Elliott (CoRR, 2021)

Quantum adaptive agents with efficient long-term memories. - Thomas J. Elliott; Mile Gu; Andrew J. P. Garner; Jayne Thompson (CoRR, 2021)

Implementing quantum dimensionality reduction for non-Markovian stochastic simulation. - Kang-Da Wu; Chengran Yang; Ren-Dong He; Mile Gu; Guo-Yong Xiang; Chuan-Feng Li; Guang-Can Guo; Thomas J. Elliott (CoRR, 2022)

Hidden Quantum Memory: Is Memory There When Somebody Looks? - Philip Taranto; Thomas J. Elliott; Simon Milz (Quantum, 2023)

Neural networks leverage nominally quantum and post-quantum representations. - Paul M. Riechers; Thomas J. Elliott; Adam S. Shai (CoRR, 2025)