An efficient computational method for the optimal control of higher dimensional quantum systems. - Srinivas Sridharan 003; Mile Gu; Matthew R. James; William M. McEneaney (CDC, 2010)

The classical-quantum divergence of complexity in modelling spin chains. - Whei Yeap Suen; Jayne Thompson; Andrew J. P. Garner; Vlatko Vedral; Mile Gu (Quantum, 2017)

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)

Boosting on the shoulders of giants in quantum device calibration. - Alex Wozniakowski; Jayne Thompson; Mile Gu; Felix C. Binder (CoRR, 2020)

Thermodynamic Machine Learning through Maximum Work Production. - Alexander B. Boyd; James P. Crutchfield; Mile Gu (CoRR, 2020)

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

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

A new formulation of gradient boosting. - Alex Wozniakowski; Jayne Thompson; Mile Gu; Felix C. Binder (Mach. Learn. Sci. Technol., 2021)

Operational applications of the diamond norm and related measures in quantifying the non-physicality of quantum maps. - Bartosz Regula; Ryuji Takagi; Mile Gu (Quantum, 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)

Engines for predictive work extraction from memoryful quantum stochastic processes. - Ruo Cheng Huang; Paul M. Riechers; Mile Gu; Varun Narasimhachar (Quantum, 2023)

Classically Spoofing System Linear Cross Entropy Score Benchmarking. - Andrew Tanggara; Mile Gu; Kishor Bharti (CoRR, 2024)

Quantum-optimal information encoding using noisy passive linear optics. - Andrew Tanggara; Ranjith Nair; Syed Muhamad Assad; Varun Narasimhachar; Spyros Tserkis; Jayne Thompson; Ping Koy Lam; Mile Gu (Quantum, 2024)

QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning. - Hari Hara Suthan Chittoor; Paul Robert Griffin; Ariel Neufeld; Jayne Thompson; Mile Gu (ICAART (1), 2025)

Near-Term Pseudorandom and Pseudoresource Quantum States. - Andrew Tanggara; Mile Gu; Kishor Bharti (CoRR, 2025)

Quantum state-agnostic work extraction (almost) without dissipation. - Josep Lumbreras; Ruo Cheng Huang; Yanglin Hu; Mile Gu; Marco Tomamichel (CoRR, 2025)