Classifying single-qubit noise using machine learning. - Travis L. Scholten; Yi-Kai Liu 001; Kevin C. Young; Robin Blume-Kohout (CoRR, 2019)

A volumetric framework for quantum computer benchmarks. - Robin Blume-Kohout; Kevin C. Young (Quantum, 2020)

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

Gate Set Tomography. - Erik Nielsen; John King Gamble; Kenneth Rudinger; Travis L. Scholten; Kevin C. Young; Robin Blume-Kohout (Quantum, 2021)

Near-Minimal Gate Set Tomography Experiment Designs. - Corey Ostrove; Kenneth Rudinger; Stefan Seritan; Kevin C. Young; Robin Blume-Kohout (QCE, 2023)

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

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

Heisenberg-limited calibration of entangling gates with robust phase estimation. - Kenneth Rudinger; J. P. Marceaux; Akel Hashim; David Santiago; Irfan Siddiqi; Kevin C. Young (CoRR, 2025)