Preprints

“Why and when is pausing beneficial in quantum annealing?”, [2005.01888] by H. Chen and D. A. Lidar

“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

“Probing the Universality of Topological Defect Formation in a Quantum Annealer: Kibble-Zurek Mechanism and Beyond”, [2001.11637],  by Y. Bando, Y. Susa, H. Oshiyama, N. Shibata, M. Ohzeki, F. J. G´omez-Ruiz, D. A. Lidar, A. del Campo, S. Suzuki, and H. Nishimori

“Improved Boltzmann machines with error corrected quantum annealing”, [1910.01283], by R. Li, T. Albash and 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