Predictive Models from Quantum Computer Benchmarks. - Daniel Hothem; Jordan Hines; Karthik Nataraj; Robin Blume-Kohout; Timothy Proctor (QCE, 2023)

Improved Approximations for Extremal Eigenvalues of Sparse Hamiltonians. - Daniel Hothem; Ojas Parekh; Kevin Thompson 007 (TQC, 2023)

Learning a quantum computer's capability using convolutional neural networks. - Daniel Hothem; Kevin C. Young; Tommie A. Catanach; Timothy Proctor (CoRR, 2023)

What is my quantum computer good for? Quantum capability learning with physics-aware neural networks. - Daniel Hothem; Ashe Miller; Timothy Proctor (NeurIPS, 2024)