Mapping Constrained Optimization Problems to Quantum Annealing with Application to Fault Diagnosis. - Zhengbing Bian; Fabián A. Chudak; Robert B. Israel; Brad Lackey; William G. Macready; Aidan Roy (Frontiers ICT, 2016)

Substochastic Monte Carlo Algorithms. - Michael Jarret; Brad Lackey (CoRR, 2017)

Quantum adiabatic optimization without heuristics. - Michael Jarret; Brad Lackey; Aike Liu; Kianna Wan (CoRR, 2018)

A belief propagation algorithm based on domain decomposition. - Brad Lackey (CoRR, 2018)

Gottesman Types for Quantum Programs. - Robert Rand 001; Aarthi Sundaram; Kartik Singhal 002; Brad Lackey (QPL, 2020)

Static Analysis of Quantum Programs via Gottesman Types. - Robert Rand 001; Aarthi Sundaram; Kartik Singhal 002; Brad Lackey (CoRR, 2021)

Fully Device-Independent Quantum Key Distribution Using Synchronous Correlations. - Nishant Rodrigues; Brad Lackey (TQC, 2023)

PearSAN: A Machine Learning Method for Inverse Design using Pearson Correlated Surrogate Annealing. - Michael Bezick; Blake Wilson; Vaishnavi Iyer; Yuheng Chen; Vladimir M. Shalaev; Sabre Kais; Alexander V. Kildishev; Alexandra Boltasseva; Brad Lackey (CoRR, 2024)

Improved Pairwise Measurement-Based Surface Code. - Linnea Grans-Samuelsson; Ryan V. Mishmash; David Aasen; Christina Knapp; Bela Bauer; Brad Lackey; Marcus P. da Silva; Parsa Bonderson (Quantum, 2024)

Quantum Weight Enumerators and Tensor Networks. - ChunJun Cao; Brad Lackey (IEEE Trans. Inf. Theory, 2024)

Quantum Circuit Tensors and Enumerators With Applications to Quantum Fault Tolerance. - Alon Kukliansky; Brad Lackey (IEEE Trans. Inf. Theory, 2025)