Publications
2020
“Quantum adiabatic machine learning with zooming”, Phys. Rev. A 102, 062405, by A. Zlokapa, A. Mott, J-R. Vlimant, J. Job, D. A. Lidar and M. Spiropulu [link]
“Fast, Lifetime-Preserving Readout for High-Coherence Quantum Annealers”, PRX Quantum 1, 020314, 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 [link]
“Limitations of error corrected quantum annealing in improving the performance of Boltzmann machines”, Quantum Science and Technology 5, 045010 (2020), by R. Li, T. Albash and D. A. Lidar [link]
“Why and when is pausing beneficial in quantum annealing?”, Phys. Rev. Applied 14, 014100 (2020), by H. Chen and D. A. Lidar [link]
“Reverse quantum annealing of the p-spin model with relaxation”, Phys. Rev. A. 101, 022331 (2020), by G. Passarelli, K. Yip, D. A. Lidar, H. Nishimori and P. Lucignano [link]
“Probing the Universality of Topological Defect Formation in a Quantum Annealer: Kibble-Zurek Mechanism and Beyond”, Phys. Rev. Research 2, 033369 (September 2020), 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 [link]
“Completely positive master equation for arbitrary driving and small level spacing”, Quantum 4, 227 (2020), by E. Mozgunov and D. A. Lidar [link]
