“Prospects for Quantum Enhancement with Diabatic Quantum Annealing” [2008.09913], by E.J. Crosson and D.A. Lidar.

“Fast, Lifetime-Preserving Readout for High-Coherence Quantum Annealers” [2006.10817] by J. A. Grover, J. I. Basham, A. Marakov, S. M. Disseler, R. T. Hinkey, M. Khalil, Z. A. Stegen, T. Chamberlin, W. DeGottardi, D. J. Clarke, J. R. Medford, J. D. Strand, M. Stoutimore, S. Novikov, D. G. Ferguson, D. A. Lidar, K. M. Zick, A. J. Przybysz

“Boundaries of quantum supremacy via random circuit sampling”, [2005.02464],  by A. Zlokapa, S. Boixo, and D. A. Lidar

“Anneal-path correction in flux qubits”, [2002.11217],  by M. Khezri, J. Grover, J. Basham, S. Disseler, H. Chen, S. Novikov, K. Zick, D. A. Lidar

“Unconventional machine learning of genome-wide human cancer data”, [1909.06206],  by R. Li, S. Gujja, S. Bajaj, O. Gamel, N. Cilfone, J. Gulcher, D. A. Lidar and T. Chittenden

“Quantum adiabatic machine learning with zooming”, [1908.04480], by A. Zlokapa, A. Mott, J-R. Vlimant, J. Job, D. Lidar and M. Spiropulu

“Charged particle tracking with quantum annealing-inspired optimization”, [1908.04475], by A. Zlokapa, A. Anand, J-R. Vlimant, J. Duarte, J. Job, D. Lidar and M. Spiropulu

“Lecture Notes on the Theory of Open Quantum Systems”, [1902.00967], by D. A. Lidar

“When Diabatic Trumps Adiabatic in Quantum Optimization”, [1505.01249], by S. Muthukrishnan, T. Albash, and D.A. Lidar