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Evgeny Andriyash

Observed names: Andriyash, Evgeny, E. A. Andriyash, E.A. Andriyash
OpenAlex ID: A5045431565
Observation of topological phenomena in a programmable lattice of 1,800 qubits
2018 · Andrew D. King, Juan Carrasquilla, et al. · Nature · 329
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Wall-crossing from supersymmetric galaxies
2012 · Evgeny Andriyash, Frederik Denef, et al. · Journal of High Energy Physics · 69
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A path towards quantum advantage in training deep generative models with quantum annealers
2020 · Walter Winci, Lorenzo Buffoni, et al. · Machine Learning Science and Technology · 59
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Bound state transformation walls
2012 · Evgeny Andriyash, Frederik Denef, et al. · Journal of High Energy Physics · 50
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DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
2018 · Vahdat, Arash, Macready, William G., et al. · arXiv (Cornell University) · 49
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Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines
2016 · Korenkevych, Dmytro, Xue, Yanbo, et al. · arXiv (Cornell University) · 39
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Can quantum Monte Carlo simulate quantum annealing?
2017 · Andriyash, Evgeny, Amin, Mohammad H. · arXiv (Cornell University) · 34
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DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
2018 · Vahdat, Arash, Andriyash, Evgeny, et al. · arXiv (Cornell University) · 31
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PixelVAE++: Improved PixelVAE with Discrete Prior
2019 · Sadeghi, Hossein, Andriyash, Evgeny, et al. · arXiv (Cornell University) · 29
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Degeneracy, degree, and heavy tails in quantum annealing
2016 · Andrew D. King, Emile Hoskinson, et al. · Physical Review A · 28
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Quantum Boltzmann Machine
2016 · Bohdan Kulchytskyy, Evgeny Andriyash, et al. · Bulletin of the American Physical Society · 28
Ample D4-D2-D0 Decay
2008 · Andriyash, Evgeny, Moore, Gregory W. · arXiv (Cornell University) · 20
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Difference of ε˜ and ε in fitting the parameters of CKM matrix
2004 · E.A. Andriyash, G.G. Ovanesyan, et al. · Physics Letters B · 18
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The value of B K from the experimental data on CP violation in K mesons and up-to-date values of CKM matrix parameters
2006 · E. A. Andriyash, G. G. Ovanesyan, et al. · Physics of Atomic Nuclei · 17
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Undirected Graphical Models as Approximate Posteriors
2019 · Vahdat, Arash, Andriyash, Evgeny, et al. · arXiv (Cornell University) · 15
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Improved Gradient-Based Optimization Over Discrete Distributions
2018 · Andriyash, Evgeny, Vahdat, Arash, et al. · arXiv (Cornell University) · 11
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Learning Undirected Posteriors by Backpropagation through MCMC Updates.
2019 · Arash Vahdat, Evgeny Andriyash, et al. · arXiv (Cornell University) · 2
A Path Towards Obtaining Quantum Advantage in Training Classical Deep Generative Models with Quantum Priors
2020 · Walter Vinci, Lorenzo Buffoni, et al. · Bulletin of the American Physical Society
Improved Gradient Estimators for Stochastic Discrete Variables
2018 · Evgeny Andriyash, Arash Vahdat, et al.
BPS states in string theory
2010 · Andriyash, Evgeny · Rutgers University Community Repository (Rutgers University)
Works count: 21
Citation count: 828
H-index: 15
I10-index: 16
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