Results 71 to 80 of about 40,083 (311)
Multiparameter optimisation of a magneto-optical trap using deep learning
Nature Communications, 2018 Dynamics in cold atomic ensembles involve complex many-body interactions that are hard to treat analytically. Here, the authors use machine learning to optimise the cooling and trapping of neutral atoms, showing an improvement in the resulting resonant ...
A. D. Tranter +9 more
doaj +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
The simplest demonstrations of quantum nonlocality
New Journal of Physics, 2012 We investigate the complexity cost of demonstrating the key types of nonclassical correlations—Bell inequality violation, Einstein, Podolsky, Rosen (EPR)-steering, and entanglement—with independent agents, theoretically and in a photonic experiment.
Dylan J Saunders +5 more
doaj +1 more source
Flexible learning of quantum states with generative query neural networks
Nature Communications, 2022 The use of machine learning to characterise quantum states has been demonstrated, but usually training the algorithm using data from the same state one wants to characterise.
Yan Zhu +5 more
doaj +1 more source
A Dislocation Perspective on Strength and Toughness in Ceramics
Advanced Engineering Materials, EarlyView.Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley +1 more source
Valley interference and spin exchange at the atomic scale in silicon
Nature Communications, 2020 Coupled donor wavefunctions in silicon are spatially resolved to evidence valley interference processes. An atomic-scale understanding of the interplay between interference, envelope anisotropy and crystal symmetries unveils a placement strategy ...
B. Voisin +8 more
doaj +1 more source
Quantum logic and quantum computation [PDF]
, 2007 37 pages, 13 figures, published in Handbook of Quantum Logic and Quantum Structures: Quantum Structures (Edited by Kurt Engesser, Dov M. Gabbay and Daniel Lehmann), Elsevier, Amsterdam, 2007, pp.
Pavicic, Mladen, Megill, Norman D.
openaire +2 more sources
BLIND QUANTUM COMPUTATION [PDF]
International Journal of Quantum Information, 2006 We investigate the possibility of having someone carry out the work of executing a function for you, but without letting him learn anything about your input. Say Alice wants Bob to compute some known function f upon her input x, but wants to prevent Bob from learning anything about x.
Salvail, Louis, Arrighi, Pablo
openaire +4 more sources
Magnetic Control of Chiral Hybridized Phonon Magnetic Moments in Ferrimagnets Fe2‐xZnxMo3O8
Advanced Functional Materials, EarlyView.Helicity‐resolved magneto‐Raman spectroscopy reveals magnetic control of chiral phonon magnetic moments in polar ferrimagnet (ZnxFe2−xMo3O₈). Large spontaneous zero‐field phonon splittings, selective phonon–magnon coupling, and asymmetric Zeeman responses demonstrate that phonon chirality is governed by magnon‐phonon coupling and magnetization.
Youngsu Choi +8 more
wiley +1 more source
Quantum Computing with Octonions [PDF]
Peking Mathematical Journal, 2019 There are two schools of "measurement-only quantum computation". The first ([11]) using prepared entanglement (cluster states) and the second ([4]) using collections of anyons, which according to how they were produced, also have an entanglement pattern.
Freedman, Michael +2 more
openaire +4 more sources