Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bohdan Kulchytskyy"'
Publikováno v:
Physical Review X, Vol 8, Iss 2, p 021050 (2018)
Inspired by the success of Boltzmann machines based on classical Boltzmann distribution, we propose a new machine-learning approach based on quantum Boltzmann distribution of a quantum Hamiltonian. Because of the noncommutative nature of quantum mech
Externí odkaz:
https://doaj.org/article/88ed6cef5df54aa19b50cc9e63915c23
Publikováno v:
SciPost Physics, Vol 7, Iss 1, p 009 (2019)
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter, and devices. Computational techniques can be used to reconstruct a s
Externí odkaz:
https://doaj.org/article/aa9411ce7af34be8a4921225a7233276
Autor:
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
Near-term quantum computers provide a promising platform for finding ground states of quantum systems, which is an essential task in physics, chemistry, and materials science. Near-term approaches, however, are constrained by the effects of noise as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b54846a5dd094dc141226d9a783b1f2
Autor:
Michael S. Albergo, Anna Golubeva, Dan Sehayek, Bohdan Kulchytskyy, Giacomo Torlai, Roger G. Melko
Generative modeling with machine learning has provided a new perspective on the data-driven task of reconstructing quantum states from a set of qubit measurements. As increasingly large experimental quantum devices are built in laboratories, the ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec331e3d20267d98272ce6e8046cb06
http://arxiv.org/abs/1908.07532
http://arxiv.org/abs/1908.07532
Autor:
Anna Golubeva, Matthew J. S. Beach, Patrick Huembeli, Isaac J. S. De Vlugt, Xiuzhe Luo, Ejaaz Merali, Bohdan Kulchytskyy, Giacomo Torlai, Roger G. Melko
Publikováno v:
SciPost Physics, Vol 7, Iss 1, p 009 (2019)
SciPost Physics
SciPost Physics
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter, and devices. Computational techniques can be used to reconstruct a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdacf7b5dc5de239b93c1f19ce60134d
https://scipost.org/SciPostPhys.7.1.009
https://scipost.org/SciPostPhys.7.1.009
The entanglement entropy of a quantum critical system can provide new universal numbers that depend on the geometry of the entangling bipartition. We calculate a universal number called $\kappa$, which arises when a quantum critical system is embedde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb918cc9c2baedfa5467e4c0b2c205f7
Publikováno v:
Physical Review X, Vol 8, Iss 2, p 021050 (2018)
Inspired by the success of Boltzmann Machines based on classical Boltzmann distribution, we propose a new machine learning approach based on quantum Boltzmann distribution of a transverse-field Ising Hamiltonian. Due to the non-commutative nature of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a12c80fb639ad05143cace8cc3c79dae
In the face of mounting numerical evidence, Metlitski and Grover [arXiv:1112.5166] have given compelling analytical arguments that systems with spontaneous broken continuous symmetry contain a sub-leading contribution to the entanglement entropy that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f4edbc58fa358aba97cccd1aa92a56b
We have performed quantum Monte Carlo simulations measuring the finite size and temperature superfluid response of helium-4 to the linear and rotational motion of the walls of a nanopore. Within the two-fluid model, the portion of the normal liquid d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cc0fb2255f83547f540009107cba241