Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Pudenz, Kristen L."'
Autor:
Reichardt, Ben W., Paetznick, Adam, Aasen, David, Basov, Ivan, Bello-Rivas, Juan M., Bonderson, Parsa, Chao, Rui, van Dam, Wim, Hastings, Matthew B., Paz, Andres, da Silva, Marcus P., Sundaram, Aarthi, Svore, Krysta M., Vaschillo, Alexander, Wang, Zhenghan, Zanner, Matt, Cairncross, William B., Chen, Cheng-An, Crow, Daniel, Kim, Hyosub, Kindem, Jonathan M., King, Jonathan, McDonald, Michael, Norcia, Matthew A., Ryou, Albert, Stone, Mark, Wadleigh, Laura, Barnes, Katrina, Battaglino, Peter, Bohdanowicz, Thomas C., Booth, Graham, Brown, Andrew, Brown, Mark O., Cassella, Kayleigh, Coxe, Robin, Epstein, Jeffrey M., Feldkamp, Max, Griger, Christopher, Halperin, Eli, Heinz, Andre, Hummel, Frederic, Jaffe, Matthew, Jones, Antonia M. W., Kapit, Eliot, Kotru, Krish, Lauigan, Joseph, Li, Ming, Marjanovic, Jan, Megidish, Eli, Meredith, Matthew, Morshead, Ryan, Muniz, Juan A., Narayanaswami, Sandeep, Nishiguchi, Ciro, Paule, Timothy, Pawlak, Kelly A., Pudenz, Kristen L., Pérez, David Rodríguez, Simon, Jon, Smull, Aaron, Stack, Daniel, Urbanek, Miroslav, van de Veerdonk, René J. M., Vendeiro, Zachary, Weverka, Robert T., Wilkason, Thomas, Wu, Tsung-Yao, Xie, Xin, Zalys-Geller, Evan, Zhang, Xiaogang, Bloom, Benjamin J.
Transitioning from quantum computation on physical qubits to quantum computation on encoded, logical qubits can improve the error rate of operations, and will be essential for realizing valuable quantum computational advantages. Using a neutral atom
Externí odkaz:
http://arxiv.org/abs/2411.11822
Autor:
Aiello, Clarice D., Awschalom, D. D., Bernien, Hannes, Brower-Thomas, Tina, Brown, Kenneth R., Brun, Todd A., Caram, Justin R., Chitambar, Eric, Di Felice, Rosa, Fox, Michael F. J., Haas, Stephan, Holleitner, Alexander W., Hudson, Eric R., Hunt, Jeffrey H., Joynt, Robert, Koziol, Scott, Lewandowski, H. J., McClure, Douglas T., Palsberg, Jens, Passante, Gina, Pudenz, Kristen L., Richardson, Christopher J. K., Rosenberg, Jessica L., Ross, R. S., Saffman, Mark, Singh, M., Steuerman, David W., Stark, Chad, Thijssen, Jos, Vamivakas, A. Nick, Whitfield, James D., Zwickl, Benjamin M.
Publikováno v:
Quantum Sci. Technol. 6 030501 (2021)
Interest in building dedicated Quantum Information Science and Engineering (QISE) education programs has greatly expanded in recent years. These programs are inherently convergent, complex, often resource intensive and likely require collaboration wi
Externí odkaz:
http://arxiv.org/abs/2010.13778
The utility of satisfiability (SAT) as an application focused hard computational problem is well established. We explore the potential of quantum annealing to enhance classical SAT solving, especially where sampling from the space of all possible sol
Externí odkaz:
http://arxiv.org/abs/1612.07258
Autor:
Pudenz, Kristen L.
Publikováno v:
20th IEEE High Performance Embedded Computing Workshop Proceedings (2016)
We develop and apply several strategies for setting physical parameters on quantum annealers for application problems that do not fit natively on the hardware graph. The strategies are tested with a culled random set of mixed satisfiability problems,
Externí odkaz:
http://arxiv.org/abs/1611.07552
Publikováno v:
Phys. Rev. A 91, 042302 (2015)
We demonstrate that the performance of a quantum annealer on hard random Ising optimization problems can be substantially improved using quantum annealing correction (QAC). Our error correction strategy is tailored to the D-Wave Two device. We find t
Externí odkaz:
http://arxiv.org/abs/1408.4382
Publikováno v:
Nature Comm. 5, 3243 (2014)
Quantum information processing offers dramatic speedups, yet is famously susceptible to decoherence, the process whereby quantum superpositions decay into mutually exclusive classical alternatives, thus robbing quantum computers of their power. This
Externí odkaz:
http://arxiv.org/abs/1307.8190
Autor:
Smelyanskiy, Vadim N., Rieffel, Eleanor G., Knysh, Sergey I., Williams, Colin P., Johnson, Mark W., Thom, Murray C., Macready, William G., Pudenz, Kristen L.
In this article, we show how to map a sampling of the hardest artificial intelligence problems in space exploration onto equivalent Ising models that then can be attacked using quantum annealing implemented in D-Wave machine. We overview the existing
Externí odkaz:
http://arxiv.org/abs/1204.2821
Autor:
Pudenz, Kristen L., Lidar, Daniel A.
We develop an approach to machine learning and anomaly detection via quantum adiabatic evolution. In the training phase we identify an optimal set of weak classifiers, to form a single strong classifier. In the testing phase we adiabatically evolve o
Externí odkaz:
http://arxiv.org/abs/1109.0325
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