1,304 research outputs found
Multipartite fully entangled fraction
Fully entangled fraction is a definition for bipartite states, which is
tightly related to bipartite maximally entangled states, and has clear
experimental and theoretical significance. In this work, we generalize it to
multipartite case, we call the generalized version multipartite fully entangled
fraction (MFEF). MFEF measures the closeness of a state to GHZ states. The
analytical expressions of MFEF are very difficult to obtain except for very
special states, however, we show that, the MFEF of any state is determined by a
system of finite-order polynomial equations. Therefore, the MFEF can be
efficiently numerically computed.Comment: 5 pages, no figure. Any comments are welcome
Lazy states, discordant states and entangled states for 2-qubit systems
We investigate the lazy states, entangled states and discordant states for
2-qubit systems. We show that many lazy states are discordant, many lazy states
are entangled, and many mixed entangled states are not lazy. With these
investigations, we provide a laziness-discord-entanglement hierarchy diagram
about 2-qubit quantum correlations.Comment: 4 pages, 1 figur
Oblique discord
Discord and entanglement characterize two kinds of quantum correlations, and
discord captures more correlation than entanglement in the sense that even
separable states may have nonzero discord. In this paper, we propose a new kind
of quantum correlation we call it oblique discord. A zero-discord state
corresponds to an orthonormal basis, while a zero-oblique-discord state
corresponds to a basis which is not necessarily orthogonal. Under this
definition, the set of zero-discord states is properly contained inside the set
of zero-oblique-discord states, and the set of zero-oblique-discord states is
properly contained inside the set of separable states. We give a
characterization of zero-oblique-discord states via quantum operation, provide
a geometric measure for oblique discord, and raise a conjecture with it holds
we can define an information-theoretic measure for oblique discord. Also, we
point out that, the definition of oblique discord can be properly extended to
some different versions just as the case of quantum discord.Comment: 4 pages,1 figure. Comments are welcome
Global Quantum discord of multi-qubit states
Global quantum discord (GQD), proposed by Rulli and Sarandy [Phys. Rev. A
\textbf{84}, 042109 (2011)], is a generalization of quantum discord to
multipartite states. In this paper, we provide an equivalent expression for
GQD, and obtain the analytical expressions of GQD for two classes of
multi-qubit states. The phenomena of sudden transition and freeze of GQD are
also discussed.Comment: 6 pages, 1 figure. Comments are welcom
Quantifying coherence of Gaussian states
Coherence arises from the superposition principle and plays a key role in
quantum mechanics. Recently, Baumgratz et al. [T. Baumgratz, M. Cramer, and M.
B. Plenio, Phys. Rev. Lett. 113, 140401 (2014)] established a rigorous
framework for quantifying the coherence of finite dimensional quantum states.
In this work we provide a framework for quantifying the coherence of Gaussian
states and explicitly give a coherence measure based on the relative entropy.Comment: 6 pages,no figur
Robustness of quantum discord to sudden death in NMR
We investigate the dynamics of entanglement and quantum discord of two qubits
in liquid state homonuclear NMR. Applying a phenomenological description for
NMR under relaxation process, and taking a group of typical parameters of NMR,
we show that when a zero initial state experiences a relaxation
process, its entanglement disappears completely after a sequence of so-called
sudden deaths and revivals, while the quantum discord retains remarkable values
after a sequence of oscillations. That is to say, the quantum discord is more
robust than entanglement.Comment: 8 pages, 10 figures, single-colum
Database-assisted Distributed Spectrum Sharing
According to FCC's ruling for white-space spectrum access, white-space
devices are required to query a database to determine the spectrum
availability. In this paper, we study the database-assisted distributed
white-space access point (AP) network design. We first model the cooperative
and non-cooperative channel selection problems among the APs as the system-wide
throughput optimization and non-cooperative AP channel selection games,
respectively, and design distributed AP channel selection algorithms that
achieve system optimal point and Nash equilibrium, respectively. We then
propose a state-based game formulation for the distributed AP association
problem of the secondary users by taking the cost of mobility into account. We
show that the state-based distributed AP association game has the finite
improvement property, and design a distributed AP association algorithm that
can converge to a state-based Nash equilibrium. Numerical results show that the
algorithm is robust to the perturbation by secondary users' dynamical leaving
and entering the system
Spatial Spectrum Access Game
A key feature of wireless communications is the spatial reuse. However, the
spatial aspect is not yet well understood for the purpose of designing
efficient spectrum sharing mechanisms. In this paper, we propose a framework of
spatial spectrum access games on directed interference graphs, which can model
quite general interference relationship with spatial reuse in wireless
networks. We show that a pure Nash equilibrium exists for the two classes of
games: (1) any spatial spectrum access games on directed acyclic graphs, and
(2) any games satisfying the congestion property on directed trees and directed
forests. Under mild technical conditions, the spatial spectrum access games
with random backoff and Aloha channel contention mechanisms on undirected
graphs also have a pure Nash equilibrium. We also quantify the price of anarchy
of the spatial spectrum access game. We then propose a distributed learning
algorithm, which only utilizes users' local observations to adaptively adjust
the spectrum access strategies. We show that the distributed learning algorithm
can converge to an approximate mixed-strategy Nash equilibrium for any spatial
spectrum access games. Numerical results demonstrate that the distributed
learning algorithm achieves up to superior performance improvement over a
random access algorithm.Comment: The paper has been accepted by IEEE Transactions on Mobile Computin
Evolutionarily Stable Spectrum Access
In this paper, we design distributed spectrum access mechanisms with both
complete and incomplete network information. We propose an evolutionary
spectrum access mechanism with complete network information, and show that the
mechanism achieves an equilibrium that is globally evolutionarily stable. With
incomplete network information, we propose a distributed learning mechanism,
where each user utilizes local observations to estimate the expected throughput
and learns to adjust its spectrum access strategy adaptively over time. We show
that the learning mechanism converges to the same evolutionary equilibrium on
the time average. Numerical results show that the proposed mechanisms are
robust to the perturbations of users' channel selections.Comment: arXiv admin note: substantial text overlap with arXiv:1103.102
Imitation-based Social Spectrum Sharing
Dynamic spectrum sharing is a promising technology for improving the spectrum
utilization. In this paper, we study how secondary users can share the spectrum
in a distributed fashion based on social imitations. The imitation-based
mechanism leverages the social intelligence of the secondary user crowd and
only requires a low computational power for each individual user. We introduce
the information sharing graph to model the social information sharing
relationship among the secondary users. We propose an imitative spectrum access
mechanism on a general information sharing graph such that each secondary user
first estimates its expected throughput based on local observations, and then
imitates the channel selection of another neighboring user who achieves a
higher throughput. We show that the imitative spectrum access mechanism
converges to an imitation equilibrium, where no beneficial imitation can be
further carried out on the time average. Numerical results show that the
imitative spectrum access mechanism can achieve efficient spectrum utilization
and meanwhile provide good fairness across secondary users
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