6,414 research outputs found
Strong spin-photon coupling in silicon
We report the strong coupling of a single electron spin and a single
microwave photon. The electron spin is trapped in a silicon double quantum dot
and the microwave photon is stored in an on-chip high-impedance superconducting
resonator. The electric field component of the cavity photon couples directly
to the charge dipole of the electron in the double dot, and indirectly to the
electron spin, through a strong local magnetic field gradient from a nearby
micromagnet. This result opens the way to the realization of large networks of
quantum dot based spin qubit registers, removing a major roadblock to scalable
quantum computing with spin qubits
Propagação vegetativa do cafeeiro (Coffea arabica L.) por meio de enraizamento de estacas.
Buscando-se uma metodologia que permita a regeneração de plantas de Coffea arabica L. a partir do enraizamento de estacas, foi conduzido um experimento no Departamento de Agricultura da Universidade federal de Lavras (UFLA) - Lavras, MG, em casa-de-vegetação,com sistema automático de irrigação por microaspersão. Utilizaram-se cafeeiros das cultivares Catuaí Vermelho e e Acaiá na ausência e presença do zinco em adubação foliar, imergindo ou não suas estacas e em águua corrente para posterior tratamento com antioxidante e regulador de crescimento. A cultivar Conillon foi utilizada adicionalmente sem tratamento algum. Acredita-se que o menor percentual de pegamento das estacas de C. Arabica seja por problemas de oxidação por fenóis,, ocasionados pelos ferimentos quando do preparo das estacas. O trabalho testou a eficiência da água e do antioxidante PVP (polivvinilpirrolidone), na lavagem e inativação desses fenóis tidos como uma das principais causas do escurecimento e inibição do processo. Visando a estimular o enraizamento fez-se uso da auxina AIB (ácido inindol butírico), regulador de crescimento muito utilizado para esse fim. As avaliações foram feitas 6 meses após a implantação do experimento, sendo avaliadas as seguintes características: percentual de estacas verdes com raízes; peso da matéria seca das raízes e número de raízes por estacas. Os resultados demonstraram que o zinco, a água e o antioxidante não são eficientes na promoção do enraizamento do cafeeiro na concentração e tempo de imersão testados. A cultivar Acaiá,, associada à utilização da auxina AIB apresenta-se mais adequada para o enraizamento que a cultivar Catuaí Vermelho, e o enraizamento da cultivar Conillon, sem nenhum tratamento, é superior a 90% sob nebulização intermitente
Avalanche Collapse of Interdependent Network
We reveal the nature of the avalanche collapse of the giant viable component
in multiplex networks under perturbations such as random damage. Specifically,
we identify latent critical clusters associated with the avalanches of random
damage. Divergence of their mean size signals the approach to the hybrid phase
transition from one side, while there are no critical precursors on the other
side. We find that this discontinuous transition occurs in scale-free multiplex
networks whenever the mean degree of at least one of the interdependent
networks does not diverge.Comment: 4 pages, 5 figure
Bootstrap Percolation on Complex Networks
We consider bootstrap percolation on uncorrelated complex networks. We obtain
the phase diagram for this process with respect to two parameters: , the
fraction of vertices initially activated, and , the fraction of undamaged
vertices in the graph. We observe two transitions: the giant active component
appears continuously at a first threshold. There may also be a second,
discontinuous, hybrid transition at a higher threshold. Avalanches of
activations increase in size as this second critical point is approached,
finally diverging at this threshold. We describe the existence of a special
critical point at which this second transition first appears. In networks with
degree distributions whose second moment diverges (but whose first moment does
not), we find a qualitatively different behavior. In this case the giant active
component appears for any and , and the discontinuous transition is
absent. This means that the giant active component is robust to damage, and
also is very easily activated. We also formulate a generalized bootstrap
process in which each vertex can have an arbitrary threshold.Comment: 9 pages, 3 figure
Multifractal properties of growing networks
We introduce a new family of models for growing networks. In these networks
new edges are attached preferentially to vertices with higher number of
connections, and new vertices are created by already existing ones, inheriting
part of their parent's connections. We show that combination of these two
features produces multifractal degree distributions, where degree is the number
of connections of a vertex. An exact multifractal distribution is found for a
nontrivial model of this class. The distribution tends to a power-law one, , in the infinite network limit.
Nevertheless, for finite networks's sizes, because of multifractality, attempts
to interpret the distribution as a scale-free would result in an ambiguous
value of the exponent .Comment: 7 pages epltex, 1 figur
Critical dynamics of the k-core pruning process
We present the theory of the k-core pruning process (progressive removal of
nodes with degree less than k) in uncorrelated random networks. We derive exact
equations describing this process and the evolution of the network structure,
and solve them numerically and, in the critical regime of the process,
analytically. We show that the pruning process exhibits three different
behaviors depending on whether the mean degree of the initial network is
above, equal to, or below the threshold _c corresponding to the emergence of
the giant k-core. We find that above the threshold the network relaxes
exponentially to the k-core. The system manifests the phenomenon known as
"critical slowing down", as the relaxation time diverges when tends to
_c. At the threshold, the dynamics become critical characterized by a
power-law relaxation (1/t^2). Below the threshold, a long-lasting transient
process (a "plateau" stage) occurs. This transient process ends with a collapse
in which the entire network disappears completely. The duration of the process
diverges when tends to _c. We show that the critical dynamics of the
pruning are determined by branching processes of spreading damage. Clusters of
nodes of degree exactly k are the evolving substrate for these branching
processes. Our theory completely describes this branching cascade of damage in
uncorrelated networks by providing the time dependent distribution function of
branching. These theoretical results are supported by our simulations of the
-core pruning in Erdos-Renyi graphs.Comment: 12 pages, 10 figure
Aparente ausência de resistência cruzada entre algumas proteínas de Bacillus thuringiensis em Spodoptera frugiperda
Resumo
Heterogeneous-k-core versus Bootstrap Percolation on Complex Networks
We introduce the heterogeneous--core, which generalizes the -core, and
contrast it with bootstrap percolation. Vertices have a threshold which
may be different at each vertex. If a vertex has less than neighbors it
is pruned from the network. The heterogeneous--core is the sub-graph
remaining after no further vertices can be pruned. If the thresholds are
with probability or with probability , the process
forms one branch of an activation-pruning process which demonstrates
hysteresis. The other branch is formed by ordinary bootstrap percolation. We
show that there are two types of transitions in this heterogeneous--core
process: the giant heterogeneous--core may appear with a continuous
transition and there may be a second, discontinuous, hybrid transition. We
compare critical phenomena, critical clusters and avalanches at the
heterogeneous--core and bootstrap percolation transitions. We also show that
network structure has a crucial effect on these processes, with the giant
heterogeneous--core appearing immediately at a finite value for any
when the degree distribution tends to a power law with
.Comment: 10 pages, 4 figure
The interplay of university and industry through the FP5 network
To improve the quality of life in a modern society it is essential to reduce
the distance between basic research and applications, whose crucial roles in
shaping today's society prompt us to seek their understanding. Existing studies
on this subject, however, have neglected the network character of the
interaction between university and industry. Here we use state-of-the-art
network theory methods to analyze this interplay in the so-called Framework
Programme--an initiative which sets out the priorities for the European Union's
research and technological development. In particular we study in the 5th
Framework Programme (FP5) the role played by companies and scientific
institutions and how they contribute to enhance the relationship between
research and industry. Our approach provides quantitative evidence that while
firms are size hierarchically organized, universities and research
organizations keep the network from falling into pieces, paving the way for an
effective knowledge transfer.Comment: 21 pages (including Appendix), 8 figures. Published online at
http://stacks.iop.org/1367-2630/9/18
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