Optimizing Instructional Policies. - Robert V. Lindsey; Michael Mozer; William J. Huggins; Harold Pashler (NIPS, 2013)

Towards Quantum Machine Learning with Tensor Networks. - William J. Huggins; Piyush Patel; K. Birgitta Whaley; E. Miles Stoudenmire (CoRR, 2018)

Generalized swap networks for near-term quantum computing. - Bryan O'Gorman; William J. Huggins; Eleanor Gilbert Rieffel; K. Birgitta Whaley (CoRR, 2019)

Applications of Near-Term Quantum Computers - William J. Huggins (2020)

Mutual information scaling for tensor network machine learning. - Ian Convy; William J. Huggins; Haoran Liao; K. Birgitta Whaley (Mach. Learn. Sci. Technol., 2022)

On quantum backpropagation, information reuse, and cheating measurement collapse. - Amira Abbas; Robbie King; Hsin-Yuan Huang; William J. Huggins; Ramis Movassagh; Dar Gilboa; Jarrod R. McClean (NeurIPS, 2023)

Accelerating Quantum Algorithms with Precomputation. - William J. Huggins; Jarrod R. McClean (Quantum, 2024)