QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA. - Ruslan Shaydulin; Kunal Marwaha; Jonathan Wurtz; Phillip C. Lotshaw (CoRR, 2021)

Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm. - Danylo Lykov; Jonathan Wurtz; Cody Poole; Mark Saffman; Tom Noel; Yuri Alexeev (CoRR, 2022)

Quantum optimization with arbitrary connectivity using Rydberg atom arrays. - Minh-Thi Nguyen; Jin-Guo Liu; Jonathan Wurtz; Mikhail D. Lukin; Sheng-Tao Wang; Hannes Pichler (CoRR, 2022)

Counterdiabaticity and the quantum approximate optimization algorithm. - Jonathan Wurtz; Peter J. Love (Quantum, 2022)

Non-native Quantum Generative Optimization with Adversarial Autoencoders. - Blake Wilson; Jonathan Wurtz; Vahagn Mkhitaryan; Michael B. Wallace; Sheng-Tao Wang; Sabre Kais; Vladimir M. Shalaev; Alexandra Boltasseva (CoRR, 2024)