Evgeny Andriyash
Evgeny Andriyash
Sanctuary AI
Email verificata su
Citata da
Citata da
Quantum boltzmann machine
MH Amin, E Andriyash, J Rolfe, B Kulchytskyy, R Melko
Physical Review X 8 (2), 021050, 2018
Observation of topological phenomena in a programmable lattice of 1,800 qubits
AD King, J Carrasquilla, J Raymond, I Ozfidan, E Andriyash, A Berkley, ...
Nature 560 (7719), 456-460, 2018
Quantum variational autoencoder
A Khoshaman, W Vinci, B Denis, E Andriyash, H Sadeghi, MH Amin
Quantum Science and Technology 4 (1), 014001, 2018
Dvae++: Discrete variational autoencoders with overlapping transformations
A Vahdat, W Macready, Z Bian, A Khoshaman, E Andriyash
International conference on machine learning, 5035-5044, 2018
Wall-crossing from supersymmetric galaxies
E Andriyash, F Denef, DL Jafferis, GW Moore
Journal of High Energy Physics 2012 (1), 1-16, 2012
Systems and methods for creating and using quantum Boltzmann machines
MHS Amin, E Andriyash, J Rolfe
US Patent 11,062,227, 2021
Systems and methods for problem solving, useful for example in quantum computing
F Hamze, AD King, J Raymond, AP Roy, R Israel, E Andriyash, ...
US Patent 9,881,256, 2018
Global warming: Temperature estimation in annealers
J Raymond, S Yarkoni, E Andriyash
Frontiers in ICT 3, 23, 2016
Bound state transformation walls
E Andriyash, F Denef, DL Jafferis, GW Moore
Journal of High Energy Physics 2012 (3), 1-65, 2012
A path towards quantum advantage in training deep generative models with quantum annealers
W Winci, L Buffoni, H Sadeghi, A Khoshaman, E Andriyash, MH Amin
Machine Learning: Science and Technology 1 (4), 045028, 2020
Sampling from a set of spins with clamping
F Hamze, J King, E Andriyash, C McGeoch, J Raymond, J Rolfe, ...
US Patent 9,588,940, 2017
Dvae#: Discrete variational autoencoders with relaxed boltzmann priors
A Vahdat, E Andriyash, W Macready
Advances in Neural Information Processing Systems 31, 2018
Benchmarking quantum hardware for training of fully visible Boltzmann machines
D Korenkevych, Y Xue, Z Bian, F Chudak, WG Macready, J Rolfe, ...
arXiv preprint arXiv:1611.04528, 2016
Degeneracy, degree, and heavy tails in quantum annealing
AD King, E Hoskinson, T Lanting, E Andriyash, MH Amin
Physical Review A 93 (5), 052320, 2016
Pixelvae++: Improved pixelvae with discrete prior
H Sadeghi, E Andriyash, W Vinci, L Buffoni, MH Amin
arXiv preprint arXiv:1908.09948, 2019
Can quantum Monte Carlo simulate quantum annealing?
E Andriyash, MH Amin
arXiv preprint arXiv:1703.09277, 2017
Ample D4-D2-D0 Decay
E Andriyash, GW Moore
arXiv preprint arXiv:0806.4960, 2008
Boosting integer factoring performance via quantum annealing offsets
E Andriyash, Z Bian, F Chudak, M Drew-Brook, AD King, WG Macready, ...
D-Wave Technical Report Series 14 (2016), 2016
Difference of ε and ε in fitting the parameters of CKM matrix
EA Andriyash, GG Ovanesyan, MI Vysotsky
Physics Letters B 599 (3-4), 253-259, 2004
Undirected graphical models as approximate posteriors
A Vahdat, E Andriyash, W Macready
International Conference on Machine Learning, 9680-9689, 2020
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20