445 research outputs found
Regional differentiation of human potential indicators
The purpose of the study presented in this article is an interregional analysis of human potential. The quality of the population proper is investigated at the regional level far less than the quality of the population life. The article provides an extended characteristic of human potential in seven directions: economic activity, demographic processes, physical health, the cultural potential of population, social health, educational potential, the attitude of population to the environment. On the basis of official statistics for 2008–2012, there were selected 63 indicators characterizing human potential in all these directions. In the final result, the correlation analysis has led to the substantiation of the system of indicators for the level of human potential development, consisting of 10 indicators. The system included 3 economic indicators and 7 social indicators characterizing human potential. Upon these indicators the Russian regions were divided in two types of regions by means of hierarchic agglomerative (combining) methods of cluster analysis: the regions with economic indicators and without them. The performed calculations provided the typology of regions by the human potential indicators being stable over time and covering 74.4 % of the Russian population. A substantial interpretation of breaking down regions by groups, identification of both strong and weak aspects of each cluster were made, finding out specific features of the regions falling under the clusters. The obtained results can be used when working out measures for reducing the interregional inequality in the levels of human potential development. To find out what measures can be effective, it is possible to examine the strategic directions of regions’ development in the cluster that is the most successful with respect to the human potential characteristics under investigation
Quantum Algorithmic Gate-Based Computing: Grover Quantum Search Algorithm Design in Quantum Software Engineering
The difference between classical and quantum algorithms (QA) is following:
problem solved by QA is coded in the structure of the quantum operators. Input
to QA in this case is always the same. Output of QA says which problem coded.
In some sense, give a function to QA to analyze and QA returns its property as
an answer without quantitative computing. QA studies qualitative properties of
the functions. The core of any QA is a set of unitary quantum operators or
quantum gates. In practical representation, quantum gate is a unitary matrix
with particular structure. The size of this matrix grows exponentially with an
increase in the number of inputs, which significantly limits the QA simulation
on a classical computer with von Neumann architecture. Quantum search algorithm
(QSA) - models apply for the solution of computer science problems as searching
in unstructured data base, quantum cryptography, engineering tasks, control
system design, robotics, smart controllers, etc. Grovers algorithm is explained
in details along with implementations on a local computer simulator. The
presented article describes a practical approach to modeling one of the most
famous QA on classical computers, the Grover algorithm.Comment: arXiv admin note: text overlap with arXiv:quant-ph/0112105 by other
author
Fast quantum search algorithm modelling on conventional computers: Information analysis of termination problem
The simplest technique for simulating a quantum algorithm - QA described
based on the direct matrix representation of the quantum operators. Using this
approach, it is relatively simple to simulate the operation of a QA and to
perform fidelity analysis. A more efficient fast QA simulation technique is
based on computing all or part of the operator matrices on an as needed current
computational basis. Using this technique, it is possible to avoid storing all
or part of the operator matrices. The compute on demand approach benefits from
a study of the quantum operators, and their structure so that the matrix
elements can be computed more efficiently. Effective simulation of Grover
quantum search algorithm as example on computer with classical architecture is
considered
Robust PID Controller Design on Quantum Fuzzy Inference: Imperfect KB Quantum Self-Organization Effect-Quantum Supremacy Effect
Quantum PID controller design based on quantum fuzzy inference from two K-gains ( and ) of classical PID (with constant K-gains) controllers investigated. Computational intelligence toolkit as soft computing technology in learning situations applied. Quantum approach performance in design of robust conventional controllers as intractable classical task of control system theory demonstrated. Simulation of intelligent control Benchmark demonstrated
Tunnelling series in terms of perturbation theory for quantum spin systems
Considered is quantum tunnelling in anisotropic spin systems in a magnetic
field perpendicular to the anisotropy axis. In the domain of small field the
problem of calculating tunnelling splitting of energy levels is reduced to
constructing the perturbatio n series with degeneracy, the order of degeneracy
being proportional to a spin value. Partial summation of this series taking
into account ''dangerous terms'' with small denominators is performed and the
value of tunnelling splitting is calculated with allowance for the first
correction with respect to a magnetic field.Comment: 7 pages, REVTeX 3.
On the possible nature of Bp-Ap Stars: an application to HD101065 and HR465
We have proposed the new explanation of some magnetic chemically peculiar
(MCP) stars anomalies, which is based on assumption that such stars can be the
close binary systems with a secondary component being neutron star. Within this
hypothesis one can naturally explain the main anomalous features of MCP stars:
first of all, an existence of the short-lived radioactive isotopes detected in
some stars (like Przybylski's star and HR465), and some others peculiarities
(e.g. the behavior of CU Vir in radio range, the phenomenon of the roAp stars).Comment: 5 pages, 5 figure
Some evolutionary aspects of the binary stellar systems containing neutron star
The obvious lack of the binary stellar systems that contain neutron stars
(NS) is observed at present. Partly it is caused by the fact that it is very
difficult to detect neutron star in a binary system if this relativistic
component does not manifest itself as a radio pulsar. Among 1879 pulsars that
are listed in the ATNF pulsar catalogue, only 141 pulsars are known to be the
companions in binary systems. Only 81 objects having median mass estimation of
more than 0.2 constitute the binary systems with pulsars.
Nevertheless, such systems should be much more numerous and their investigation
is of the great interest because thier structure and evolution can certainly
help in our understanding of many unique properties that are seen in some
stars.Comment: Accepted to published in the Odessa Astronomical Publications, 2012,
vol. 25/1, p.35-3
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