Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Ivan Rungger"'
Publikováno v:
Quantum, Vol 6, p 804 (2022)
Very little is known about the cost landscape for parametrized Quantum Circuits (PQCs). Nevertheless, PQCs are employed in Quantum Neural Networks and Variational Quantum Algorithms, which may allow for near-term quantum advantage. Such applications
Externí odkaz:
https://doaj.org/article/10eb4466540947d582df9729d9b129e7
Autor:
Jules Tilly, P. V. Sriluckshmy, Akashkumar Patel, Enrico Fontana, Ivan Rungger, Edward Grant, Robert Anderson, Jonathan Tennyson, George H. Booth
Publikováno v:
Physical Review Research, Vol 3, Iss 3, p 033230 (2021)
We investigate fully self-consistent multiscale quantum-classical algorithms on current generation superconducting quantum computers, in a unified approach to tackle the correlated electronic structure of large systems in both quantum chemistry and c
Externí odkaz:
https://doaj.org/article/a9054aaa64f540d2b8db83b37cbb1d33
Publikováno v:
Physical Review Research, Vol 3, Iss 1, p 013063 (2021)
Near-term quantum computers are noisy, and therefore must run algorithms with a low circuit depth and qubit count. Here we investigate how noise affects a quantum neural network (QNN) for state discrimination, which is applicable on near-term quantum
Externí odkaz:
https://doaj.org/article/601f89fc300a4efeac4d5ddc80d4acbf
Autor:
Andrea Droghetti, Philip Thielen, Ivan Rungger, Norman Haag, Nicolas Großmann, Johannes Stöckl, Benjamin Stadtmüller, Martin Aeschlimann, Stefano Sanvito, Mirko Cinchetti
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-9 (2016)
At the hybrid interface between an organic molecular layer and a metallic magnetic surface, spin-filtering effects may be exploited for the generation of spin polarization. Here, the authors demonstrate a dynamic spin-filtering effect across the Co/A
Externí odkaz:
https://doaj.org/article/26d595a12e0a4afc929de80541981e50
Publikováno v:
New Journal of Physics, Vol 17, Iss 3, p 033021 (2015)
We demonstrate single atom anisotropic magnetoresistance on the surface of a topological insulator, arising from the interplay between the helical spin–momentum-locked surface electronic structure and the hybridization of the magnetic adatom states
Externí odkaz:
https://doaj.org/article/fe3852addc3448ca88291087d8b06849
Publikováno v:
Nature Computational Science. 1:410-420
Quantum computing opens new avenues for modeling correlated materials, which are notoriously challenging to solve due to the presence of large electronic correlations. Quantum embedding approaches, such as dynamical mean-field theory, provide correct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db8140af863f32a471e87de5b1a1296d
https://doi.org/10.1038/s43588-021-00090-3
https://doi.org/10.1038/s43588-021-00090-3
Publikováno v:
Physical Review B. 105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a1523c8d1589908be41f281eadc733b
https://doi.org/10.1103/physrevb.105.115129
https://doi.org/10.1103/physrevb.105.115129
Autor:
Ian S. Gilmore, Luke Hanley, Ivan Rungger, Raveendra C. Wickramasinghe, Cornelius L. Pieterse
Publikováno v:
The Journal of Physical Chemistry Letters. 11:8616-8622
Femtosecond laser desorption postionization mass spectrometry using 7.9 eV single photon ionization (7.9 eV fs-LDPI-MS) detected three of four drug compounds previously found to have very low ionization efficiencies by secondary ion mass spectrometry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2de21efc80cdc1bd43f26510f3d515f
https://doi.org/10.1021/acs.jpclett.0c02365
https://doi.org/10.1021/acs.jpclett.0c02365
Autor:
Ivan Rungger, Andrea Droghetti
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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The Seebeck effect is very attractive for technological applications as it leads to the direct conversion of heat into electricity. One of the key quantities determining the efficiency of such conversion is the thermopower S. In this paper we explore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b5ffb63e048b14efb215ef699aa6f99
https://doi.org/10.1039/c9cp05474j
https://doi.org/10.1039/c9cp05474j
We present the combination of Density Functional Theory (DFT) and Dynamical Mean Field Theory (DMFT) for computing the electron transmission through two-terminals nanoscale devices. The method is then applied to metallic junctions presenting alternat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad704e7c02b5c3b5444a321709b97a0f
