Group-Invariant Quantum Machine Learning. - Martin Larocca; Frederic Sauvage; Faris M. Sbahi; Guillaume Verdon; Patrick J. Coles; Marco Cerezo (CoRR, 2022)

Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry. - Faris M. Sbahi; Antonio J. Martinez; Sahil Patel; Dmitri Saberi; Jae Hyeon Yoo; Geoffrey Roeder; Guillaume Verdon (CoRR, 2022)

Thermodynamic AI and the Fluctuation Frontier. - Patrick J. Coles; Collin Szczepanski; Denis Melanson; Kaelan Donatella; Antonio J. Martinez; Faris M. Sbahi (ICRC, 2023)

Thermodynamic Computing System for AI Applications. - Denis Melanson; Mohammad Abu Khater; Maxwell Aifer; Kaelan Donatella; Max Hunter Gordon; Thomas Ahle; Gavin E. Crooks; Antonio J. Martinez; Faris M. Sbahi; Patrick J. Coles (CoRR, 2023)

Solving the compute crisis with physics-based ASICs. - Maxwell Aifer; Zach Belateche; Suraj Bramhavar; Kerem Yunus Çamsari; Patrick J. Coles; Gavin E. Crooks; Douglas J. Durian; Andrea J. Liu; Anastasia Marchenkova; Antonio J. Martinez; Peter L. McMahon; Faris M. Sbahi; et al. (CoRR, 2025)