Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Holly Christiani"'
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
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:
C. Rich, Loren J. Swenson, Danica Marsden, Michael Babcock, N. Ladizinsky, Allan H. MacDonald, Igor Pavlov, Gabriel Poulin-Lamarre, Mana Norouzpour, Ilya Perminov, Fabio Altomare, Ryan Li, M. Hager, Kelly T. R. Boothby, Jeremy P. Hilton, C. Enderud, Mauricio Reis, E. Ladizinsky, Bram Evert, S. Huang, Nicholas Tsai, T. Oh, Thomas Prescott, Mark H. Volkmann, R. Neufeld, C. Deng, Mohammad H. Amin, Yuki Sato, George Sterling, Trevor Lanting, Paul I. Bunyk, Isil Ozfidan, Anatoly Yu. Smirnov, Emile Hoskinson, Kais Jooya, Jason Yao, Warren Wilkinson, Richard Harris, Mark W. Johnson, A. Hajda, M. Nissen, G. Marsden, C. Baron, T. Medina, Andrew J. Berkley, Reza Molavi, Jed D. Whittaker, Holly Christiani
Quantum annealing (QA) is a heuristic algorithm for finding low-energy configurations of a system, with applications in optimization, machine learning, and quantum simulation. Up to now, all implementations of QA have been limited to qubits coupled v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac4c62f9447552da46bee10f4a1ec72a