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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 5, 2009
Statistical mechanics of the quantum K -satisfiability problem
Sergey Knysh, Vadim N Smelyanskiy
Scientific Reports
|
January 20, 2016
Determination and correction of persistent biases in quantum annealers
Alejandro Perdomo-Ortiz, Bryan O'Gorman, Joseph Fluegemann, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 23, 2008
Inferential framework for nonstationary dynamics. I. Theory
Dmitri G Luchinsky, Vadim N Smelyanskiy, Andrea Duggento, et al.
Nature Communications
|
November 18, 2018
Barren plateaus in quantum neural network training landscapes
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, et al.
Physical Review Letters
|
February 25, 2017
Quantum Annealing via Environment-Mediated Quantum Diffusion
Vadim N Smelyanskiy, Davide Venturelli, Alejandro Perdomo-Ortiz, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 23, 2008
Inferential framework for nonstationary dynamics. II. Application to a model of physiological signaling
Andrea Duggento, Dmitri G Luchinsky, Vadim N Smelyanskiy, et al.
Physical Review Letters
|
November 12, 2016
Understanding Quantum Tunneling through Quantum Monte Carlo Simulations
Sergei V Isakov, Guglielmo Mazzola, Vadim N Smelyanskiy, et al.
Nature Communications
|
January 8, 2016
Computational multiqubit tunnelling in programmable quantum annealers
Sergio Boixo, Vadim N Smelyanskiy, Alireza Shabani, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 5, 2009
Statistical mechanics of the quantum K -satisfiability problem
Sergey Knysh, Vadim N Smelyanskiy
Scientific Reports
|
January 20, 2016
Determination and correction of persistent biases in quantum annealers
Alejandro Perdomo-Ortiz, Bryan O'Gorman, Joseph Fluegemann, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 23, 2008
Inferential framework for nonstationary dynamics. I. Theory
Dmitri G Luchinsky, Vadim N Smelyanskiy, Andrea Duggento, et al.
Nature Communications
|
November 18, 2018
Barren plateaus in quantum neural network training landscapes
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, et al.
Physical Review Letters
|
February 25, 2017
Quantum Annealing via Environment-Mediated Quantum Diffusion
Vadim N Smelyanskiy, Davide Venturelli, Alejandro Perdomo-Ortiz, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
July 23, 2008
Inferential framework for nonstationary dynamics. II. Application to a model of physiological signaling
Andrea Duggento, Dmitri G Luchinsky, Vadim N Smelyanskiy, et al.
Physical Review Letters
|
November 12, 2016
Understanding Quantum Tunneling through Quantum Monte Carlo Simulations
Sergei V Isakov, Guglielmo Mazzola, Vadim N Smelyanskiy, et al.
Nature Communications
|
January 8, 2016
Computational multiqubit tunnelling in programmable quantum annealers
Sergio Boixo, Vadim N Smelyanskiy, Alireza Shabani, et al.
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of 1