Preparation and detection of magnetic quantum phases in optical superlattices

We describe a novel approach to prepare, detect and characterize magnetic quantum phases in ultra-cold spinor atoms loaded in optical superlattices. Our technique makes use of singlet-triplet spin manipulations in an array of isolated double well potentials in analogy to recently demonstrated quantum control in semiconductor quantum dots. We also discuss the many-body singlet-triplet spin dynamics arising from coherent coupling between nearest neighbor double wells and derive an effective description for such system. We use it to study the generation of complex magnetic states by adiabatic and non-equilibrium dynamics.Comment: 5 pages, 2 Figures, reference adde

Variational optimization of tensor-network states with the honeycomb-lattice corner transfer matrix

We develop a method of variational optimization of the infinite projected entangled pair states on the honeycomb lattice. The method is based on the automatic differentiation of the honeycomb lattice corner transfer matrix renormalization group. We apply the approach to the antiferromagnetic Heisenberg spin-1/2 model on the honeycomb lattice. The developed formalism gives quantitatively accurate results for the main physical observables and has a necessary potential for further extensions

Optical Superradiance from Nuclear Spin Environment of Single Photon Emitters

We show that superradiant optical emission can be observed from the polarized nuclear spin ensemble surrounding a single photon emitter such as a single quantum dot (QD) or Nitrogen-Vacancy (NV) center. The superradiant light is emitted under optical pumping conditions and would be observable with realistic experimental parameters.Comment: 4+ pages, 3 figures, considerably rewritten, conclusions unchanged, accepted versio

Equilibrium forms branching of a nanolayers system

In this work we analyze equilibrium forms branching of three parallel conductive micro/nanolayers which can be used as a sensor of internal or external mechanical and electrical parameters such as conductivity, tension force or gap between layers. Alteration of physical parameters can lead to symmetry breaking, i.e. asymmetrical deflection of outermost layers and nonzero deflection of middle, initially neutral layer. By slow current intensity variation in one of outermost layers, initial symmetry of the system can be achieved, thus determining the parameters alteration which had occurred

Storage of light in atomic vapor

We report an experiment in which a light pulse is decelerated and trapped in a vapor of Rb atoms, stored for a controlled period of time, and then released on demand. We accomplish this storage of light by dynamically reducing the group velocity of the light pulse to zero, so that the coherent excitation of the light is reversibly mapped into a collective Zeeman (spin) coherence of the Rb vapor

TIME-FREQUENCY REPRESENTATION ENHANCEMENT: APPROACH BASED ON IMAGE FILTERING METHODS

The task of filtering of the time-frequency representations, obtained by the S-method, using advanced digital image processing filters, both local and nonlocal is considered. Such enhancement is important for design of the time-varying filters for processing of nonstationary frequency modulated signals. The class of local filters is represented by spatial domain filtering using median and related filters. Orthogonal transform based denoising is represented by DCT domain filtering. The block matching 3-D filter is considered as a representative of nonlocal filter class. It is demonstrated that the noise in the time-frequency representations based on Smethod has rather complicated nature: non-Gaussian pdf, spatially correlated properties with varying parameters. It is shown that direct application of the considered filters to such a challenging noisy environment is not possible. Then, several filter modifications are proposed and analyzed with respect to integral and local parameters – MSE and MAE. The block matching 3-D filter is shown to provide the best results but at the expense of quality loss in representation of weak components

Socio-psychological characteristics elections with weak content

The socio-psychological features of elections with a weak content have been considered. The factors of interest of the electorate in such elections have been allocated. The main socio-psychological features of elections with a weak content, that determine the effectiveness of the use of political technologies have been noted. The causal typology of the features of elections with weak content, including formal, socio-psychological and political-technological features, has been presented. The process of effective information support of the election campaign has been analyzed and the conclusion has been made about the need for quality monitoring of candidates ‘ ratings in any election campaign. Conclusions have been drawn about the possibility of using the identified socio-psychological features of elections with low content in election campaigns