Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ermal Rrapaj"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. The algorithm finds a set of basis vectors and their binary coefficients that precisely reconstruct the
Externí odkaz:
https://doaj.org/article/435f633d19e34876a8a2945f0ffe36e4
Publikováno v:
PRX Quantum, Vol 3, Iss 2, p 020356 (2022)
We reformulate the continuous-space Schrödinger equation in terms of spin Hamiltonians. For the kinetic energy operator, the critical concept facilitating the reduction in model complexity is the idea of position encoding. A binary encoding of posit
Externí odkaz:
https://doaj.org/article/d99f7271667c439ea7fa1be9f9e221e1
Publikováno v:
Handbook of Nuclear Physics ISBN: 9789811588181
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cb3c8f31060c4e4dc34eabb5aea48f3
https://doi.org/10.1007/978-981-15-8818-1_126-1
https://doi.org/10.1007/978-981-15-8818-1_126-1
Autor:
Ermal Rrapaj, Sanjay Reddy
Publikováno v:
Handbook of Nuclear Physics ISBN: 9789811588181
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c505527be017a5020d52104f3c97519
https://doi.org/10.1007/978-981-15-8818-1_124-1
https://doi.org/10.1007/978-981-15-8818-1_124-1
Publikováno v:
Physical review / D 106(4), 043022 (2022). doi:10.1103/PhysRevD.106.043022
Collective neutrino oscillations play a crucial role in transporting lepton flavor in astrophysical settings like supernovae and neutron star binary merger remnants, which are characterized by large neutrino densities. In these settings, simulations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413e2339a7efd73e661189ace474342d
Prediction and compression of lattice QCD data using machine learning algorithms on quantum annealer
We present regression and compression algorithms for lattice QCD data utilizing the efficient binary optimization ability of quantum annealers. In the regression algorithm, we encode the correlation between the input and output variables into a spars
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a857d727af59a1bedba9dda7d424af12
http://arxiv.org/abs/2112.02120
http://arxiv.org/abs/2112.02120
We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. The algorithm finds a set of basis vectors and their binary coefficients that precisely reconstruct the original
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebe7a46377154e1bb87a4d47030bdfd4
http://arxiv.org/abs/2110.02142
http://arxiv.org/abs/2110.02142
Publikováno v:
PRX Quantum, vol 3, iss 2
We reformulate the continuous space Schr\"odinger equation in terms of spin Hamiltonians. For the kinetic energy operator, the critical concept facilitating the reduction in model complexity is the idea of position encoding. Binary encoding of positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759251b1e6e8d88084b97766089006f3
http://arxiv.org/abs/2103.08056
http://arxiv.org/abs/2103.08056
Autor:
Ermal Rrapaj, Alessandro Roggero
Restricted Boltzmann machines (RBMs) are simple statistical models defined on a bipartite graph which have been successfully used in studying more complicated many-body systems, both classical and quantum. In this work, we exploit the representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b11034fe348cf8ae4df5aaa60c9d7400
http://hdl.handle.net/11572/312967
http://hdl.handle.net/11572/312967
The chiral magnetic effect is a novel quantum phenomenon proposed for high-energy nuclear collisions but which has yet to be observed. We quantify the axial charge relaxation time, due to sphalerons, which enters in simulations of this effect. An ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09f6bebebd0ee6bf142eaae684926f91
http://arxiv.org/abs/2012.13784
http://arxiv.org/abs/2012.13784