Detecting crosstalk errors in quantum information processors. - Mohan Sarovar; Timothy Proctor; Kenneth Rudinger; Kevin C. Young; Erik Nielsen; Robin Blume-Kohout (Quantum, 2020)

Quantum Circuit Transformations with a Multi-Level Intermediate Representation Compiler. - Thien Nguyen 001; Dmitry I. Lyakh; Raphael C. Pooser; Travis S. Humble; Timothy Proctor; Mohan Sarovar (CoRR, 2021)

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

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

Quantum circuit debugging and sensitivity analysis via local inversions. - Fernando A. Calderon-Vargas; Timothy Proctor; Kenneth Rudinger; Mohan Sarovar (Quantum, 2023)

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

Benchmarking quantum computers. - Timothy Proctor; Kevin C. Young; Andrew D. Baczewski; Robin Blume-Kohout (CoRR, 2024)

Featuremetric benchmarking: Quantum computer benchmarks based on circuit features. - Timothy Proctor; Anh Tran; Xingxin Liu; Aditya Dhumuntarao; Stefan Seritan; Alaina M. Green; Norbert Matthias Linke (CoRR, 2025)