24,614 research outputs found
Predicting the expected behavior of agents that learn about agents: the CLRI framework
We describe a framework and equations used to model and predict the behavior
of multi-agent systems (MASs) with learning agents. A difference equation is
used for calculating the progression of an agent's error in its decision
function, thereby telling us how the agent is expected to fare in the MAS. The
equation relies on parameters which capture the agent's learning abilities,
such as its change rate, learning rate and retention rate, as well as relevant
aspects of the MAS such as the impact that agents have on each other. We
validate the framework with experimental results using reinforcement learning
agents in a market system, as well as with other experimental results gathered
from the AI literature. Finally, we use PAC-theory to show how to calculate
bounds on the values of the learning parameters
Constructing N-qubit entanglement monotones from anti-linear operators
We present a method to construct entanglement measures for pure states of
multipartite qubit systems. The key element of our approach is an antilinear
operator that we call {\em comb} in reference to the {\em hairy-ball theorem}.
For qubits (or spin 1/2) the combs are automatically invariant under
SL(2,\CC). This implies that the {\em filters} obtained from the combs are
entanglement monotones by construction. We give alternative formulae for the
concurrence and the 3-tangle as expectation values of certain antilinear
operators. As an application we discuss inequivalent types of genuine
four-qubit entanglement.Comment: 5 pages, revtex4; more detailed illustration of the metho
Optimal distillation of a GHZ state
We present the optimal local protocol to distill a
Greenberger-Horne-Zeilinger (GHZ) state from a single copy of any pure state of
three qubits.Comment: RevTex, 4 pages, 2 figures. Published version, some references adde
Observation of anisotropic diamagnetism above the superconducting transition in iron-pnictide Ba_(1-x)K_xFe2As2 single crystals due to thermodynamic fluctuations
High resolution magnetization measurements performed in a high quality
Ba_(1-x)K_xFe2As2 single crystal allowed to determine the diamagnetism induced
above the superconducting transition by thermally activated Cooper pairs. These
data, obtained with magnetic fields applied along and transverse to the crystal
ab layers, demonstrate experimentally that the superconducting transition of
iron pnictides may be explained at a phenomenological level in terms of the
Gaussian Ginzburg-Landau approach for three-dimensional anisotropic
superconductors.Comment: Final version with minor corrections. 6 pages, 4 figure
UVMULTIFIT: A versatile tool for fitting astronomical radio interferometric data
The analysis of astronomical interferometric data is often performed on the
images obtained after deconvolution of the interferometer's point spread
function (PSF). This strategy can be understood (especially for cases of sparse
arrays) as fitting models to models, since the deconvolved images are already
non-unique model representations of the actual data (i.e., the visibilities).
Indeed, the interferometric images may be affected by visibility gridding,
weighting schemes (e.g., natural vs. uniform), and the particulars of the
(non-linear) deconvolution algorithms. Fitting models to the direct
interferometric observables (i.e., the visibilities) is preferable in the cases
of simple (analytical) sky intensity distributions. In this paper, we present
UVMULTIFIT, a versatile library for fitting visibility data, implemented in a
Python-based framework. Our software is currently based on the CASA package,
but can be easily adapted to other analysis packages, provided they have a
Python API. We have tested the software with synthetic data, as well as with
real observations. In some cases (e.g., sources with sizes smaller than the
diffraction limit of the interferometer), the results from the fit to the
visibilities (e.g., spectra of close by sources) are far superior to the output
obtained from the mere analysis of the deconvolved images. UVMULTIFIT is a
powerful improvement of existing tasks to extract the maximum amount of
information from visibility data, especially in cases close to the
sensitivity/resolution limits of interferometric observations.Comment: 10 pages, 4 figures. Accepted in A&A. Code available at
http://nordic-alma.se/support/software-tool
Classical simulation versus universality in measurement based quantum computation
We investigate for which resource states an efficient classical simulation of
measurement based quantum computation is possible. We show that the
Schmidt--rank width, a measure recently introduced to assess universality of
resource states, plays a crucial role in also this context. We relate
Schmidt--rank width to the optimal description of states in terms of tree
tensor networks and show that an efficient classical simulation of measurement
based quantum computation is possible for all states with logarithmically
bounded Schmidt--rank width (with respect to the system size). For graph states
where the Schmidt--rank width scales in this way, we efficiently construct the
optimal tree tensor network descriptions, and provide several examples. We
highlight parallels in the efficient description of complex systems in quantum
information theory and graph theory.Comment: 16 pages, 4 figure
Entanglement cost of mixed states
We compute the entanglement cost of several families of bipartite mixed
states, including arbitrary mixtures of two Bell states. This is achieved by
developing a technique that allows us to ascertain the additivity of the
entanglement of formation for any state supported on specific subspaces. As a
side result, the proof of the irreversibility in asymptotic local manipulations
of entanglement is extended to two-qubit systems.Comment: 4 pages, no figures, (v4) new results, including a new method to
determine E_c for more general mixed states, presentation changed
significantl
Ideas, Institutions, Intervention, and Ethnic Conflict: A Constructivist Analysis of Russian Peacekeeping in the Former Soviet Union
Following the collapse of the Soviet Union in 1991, the fifteen union republics of the former superpower separated into newly independent sovereign states. The largest of these, the Russian Federation, has since emerged as the most capable and politically assertive and has inherited the majority of its predecessor’s geopolitical and strategic interests. Though Moscow’s interests in its “near-abroad” reflect the implications of its longstanding imperial legacy in the region, Russia entered the post-Soviet period pursuing a confused strategy of disengagement with regards to the new and unstable countries of the Former Soviet Union (FSU). Beginning in mid-1992 and continuing into late-1994, however, Russia began implementing a more assertive and interventionist response strategy to address the region’s growing instability. This project applies a combination of constructivism and historical institutionalist theory to demonstrate how, despite the Russian government’s early commitment to internationalist norms, fluid institutional preconditions allowed for a series of key structural shifts in the early post-Soviet period to drive administrative inertia away from the weakly institutionalized liberal-pacifist ideals of the Gorbachev era and towards a more muscular, nationalist, and zero-sum foreign policy strategy. In this context, the period from mid-1992 through late-1994 saw a rise in Russian intervention in the near abroad as intervening events challenged the orthodoxy of the isolationists in power and legitimized the efforts of revanchist policy entrepreneurs framing the use of force as a justifiable and necessary foreign policy strategy
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