1,721,149 research outputs found
A short course on quantum mechanics and methods of quantization
No full textThese notes collect the lectures given by the author to the “XXIII International Work- shop on Geometry and Physics” held in Granada (Spain) in September 2014. The first part of this paper aims at introducing a mathematical oriented reader to the realm of Quantum Mechanics (QM) and then to present the geometric structures that under- line the mathematical formalism of QM which, contrary to what is usually done in Classical Mechanics (CM), are usually not taught in introductory courses. The mathe- matics related to Hilbert spaces and Differential Geometry are assumed to be known by the reader. In the second part, we concentrate on some quantization procedures, that are founded on the geometric structures of QM — as we have described them in the first part — and represent the ones that are more operatively used in modern theoret- ical physics. We will discuss first the so-called Coherent State Approach which, mainly complemented by “Feynman Path Integral Technique”, is the method which is most widely used in quantum field theory. Finally, we will describe the “Weyl Quantization Approach” which is at the origin of modern tomographic techniques, originally used in optics and now in quantum information theory
Unsupervised and supervised learning of interacting topological phases from single-particle correlation functions
Full text linkThe recent advances in machine learning algorithms have boosted the
application of these techniques to the field of condensed matter physics, in
order e.g. to classify the phases of matter at equilibrium or to predict the
real-time dynamics of a large class of physical models. Typically in these
works, a machine learning algorithm is trained and tested on data coming from
the same physical model. Here we demonstrate that unsupervised and supervised
machine learning techniques are able to predict phases of a non-exactly
solvable model when trained on data of a solvable model. In particular, we
employ a training set made by single-particle correlation functions of a
non-interacting quantum wire and by using principal component analysis, k-means
clustering, and convolutional neural networks we reconstruct the phase diagram
of an interacting superconductor. We show that both the principal component
analysis and the convolutional neural networks trained on the data of the
non-interacting model can identify the topological phases of the interacting
model with a high degree of accuracy. Our findings indicate that non-trivial
phases of matter emerging from the presence of interactions can be identified
by means of unsupervised and supervised techniques applied to data of
non-interacting systems.Comment: 9 pages, 7 figures. Final versio
On the geometry of mixed states and the Fisher information tensor
Full text linkIn this paper, we will review the co-adjoint orbit formulation of finite dimensional quantum mechanics, and in this framework, we will interpret the notion of quantum Fisher information index (and metric). Following previous work of part of the authors, who introduced the definition of Fisher information tensor, we will show how its antisymmetric part is the pullback of the natural Kostant–Kirillov–Souriau symplectic form along some natural diffeomorphism. In order to do this, we will need to understand the symmetric logarithmic derivative as a proper 1-form, settling the issues about its very definition and explicit computation. Moreover, the fibration of co-adjoint orbits, seen as spaces of mixed states, is also discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Topological phases in two-legged Heisenberg ladders with alternating interactions
Full text linkWe analyze the possible existence of topological phases in two-legged spin ladders, considering a staggered interaction in both chains. When the staggered interaction in one chain is shifted by one site with respect to the other chain, the model can be mapped, in the continuum limit, into a nonlinear sigma model NLσM plus a topological term which is nonvanishing when the number of legs is two. This implies the existence of a critical point which distinguishes two phases. We perform a numerical analysis of energy levels, parity, and string nonlocal order parameters, correlation functions between x,y,z components of spins at the edges of an open ladder, the degeneracy of the entanglement spectrum, and the entanglement entropy to characterize these two different phases. We identify one phase with a Mott insulator and the other one with a Haldane insulator
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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