Zobrazeno 1 - 10
of 13
pro vyhledávání: '"P Aaron Lott"'
Autor:
Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035018 (2023)
Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal and anomalous instances based on their reconstruction quality. In this
Externí odkaz:
https://doaj.org/article/55bd30e2583e4674b52eab9e6be76b29
Autor:
Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, P. Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-6 (2021)
Experimental demonstration of quantum speedup that scales with the system size is the goal of near-term quantum computing. Here, the authors demonstrate such scaling advantage for a D-Wave quantum annealer over analogous classical algorithms in simul
Externí odkaz:
https://doaj.org/article/9ff82192359b488dba416ef0c801c63b
Publikováno v:
IEEE Network. 35:8-15
6G technologies such as massive MIMO, dense cells, innovative air interface multiplexing techniques, and ultra-high frequencies stand to significantly benefit from significantly increased amounts of computation at the base station. This position arti
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Autor:
Kais Jooya, Hartmut Neven, Ryan Li, Ali Khodabandelou, R. Neufeld, Richard Harris, William Bernoudy, C. Rich, Jason Yao, Igor Pavlov, Andrew J. Berkley, Allison MacDonald, C. Enderud, Jed D. Whittaker, George Sterling, Jack Raymond, Fabio Altomare, Reza Molavi, Ilya Perminov, C. Baron, Gabriel Poulin-Lamarre, Bram Evert, Mark W. Johnson, Benjamin Sheldan, Jeremy P. Hilton, Sergei V. Isakov, Masoud Mohseni, T. Medina, E. Ladizinsky, P. Aaron Lott, Isil Ozfidan, Michael Babcock, Thomas Prescott, Holly Christiani, Danica Marsden, N. Ladizinsky, Mark H. Volkmann, Paul I. Bunyk, Emile Hoskinson, Gaelen Marsden, T. Oh, Anatoly Yu. Smirnov, Shuiyuan Huang, Trevor Lanting, Yuki Sato, Sara Ejtemaee, Kelly T. R. Boothby, Loren J. Swenson, Warren Wilkinson, Mauricio Reis, Andrew D. King, Mana Norouzpour, Mohammad H. Amin, Nicholas Tsai
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-6 (2021)
Nature Communications
Nature Communications
The promise of quantum computing lies in harnessing programmable quantum devices for practical applications such as efficient simulation of quantum materials and condensed matter systems. One important task is the simulation of geometrically frustrat
Autor:
M. Sohaib Alam, Filip A. Wudarski, Matthew J. Reagor, James Sud, Shon Grabbe, Zhihui Wang, Mark Hodson, P. Aaron Lott, Eleanor G. Rieffel, Davide Venturelli
In order to assess whether quantum resources can provide an advantage over classical computation, it is necessary to characterize and benchmark the non-classical properties of quantum algorithms in a practical manner. In this paper, we show that usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8363318bd986ec6f21deb6201650c91
Publikováno v:
Computational Geosciences. 19:49-61
Performing accurate and efficient numerical simulation of global atmospheric climate models is challenging due to the disparate length and time scales over which physical processes interact. Implicit solvers enable the physical system to be integrate
Autor:
Carol S. Woodward, Efthimios Kaxiras, Reed M. Maxwell, Alice Koniges, John B. Bell, Glenn E. Hammond, John H. Magerlein, Amanda Randles, Alain Clo, Ammar Hakim, Brendan Sheehan, Timothy D. Scheibe, P. Aaron Lott, Xiangmin Jiao, Barry Smith, Michael Pernice, Andrew R. Siegel, Donald Estep, Michael McCourt, Jed Brown, Glen A. Hansen, Eric Myra, Kihwan Lee, Dinesh K. Kaushik, Roger P. Pawlowski, Barbara Wohlmuth, Tobin Isaac, Jeffrey M. Connors, Mark S. Shephard, Emil M. Constantinescu, Miriam Mehl, Béatrice Rivière, David E. Keyes, Daniel R. Reynolds, Katherine J. Evans, Cian R. Wilson, Xian-Zhu Tang, William Gropp, Charbel Farhat, Kirk E. Jordan, Ulrich Rüde, Qiming Lu, Judith Hill, John N. Shadid, Lois Curfman McInnes
Publikováno v:
The International Journal of High Performance Computing Applications. 27:4-83
We consider multiphysics applications from algorithmic and architectural perspectives, where “algorithmic” includes both mathematical analysis and computational complexity, and “architectural” includes both software and hardware environments.
Autor:
P. Aaron Lott, Temple H. Fay
Publikováno v:
International Journal of Mathematical Education in Science and Technology. 33:701-714
This paper discusses a result of Li and Shen which proves the existence of a unique periodic solution for the differential equation x + k [xdot] + g(x,t) = e(t) where k is a constant; g is continuous, continuously differentiable with respect to x, an