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The Bures metric is a natural choice in measuring the distance of density operators representing states in quantum mechanics. In the past few years a random matrix ensemble and the corresponding joint probability density function of its…

Mathematical Physics · Physics 2017-01-31 Peter J. Forrester , Mario Kieburg

The density matrix formalism is a fundamental tool in studying various problems in quantum information processing. In the space of density matrices, the most well-known measures are the Hilbert-Schmidt and Bures-Hall ensembles. In this…

Quantum Physics · Physics 2023-05-26 Lu Wei , Nicholas Witte

The probabilities for gaps in the eigenvalue spectrum of finite $ N\times N $ random unitary ensembles on the unit circle with a singular weight, and the related hermitian ensembles on the line with Cauchy weight, are found exactly. The…

Mathematical Physics · Physics 2016-09-07 N. S. Witte , P. J. Forrester

We derive exact results for gap probabilities, as well as densities of extreme eigenvalues for six complex random matrix ensembles of fundamental importance. These are Gauss-Wigner, Laguerre-Wishart, Cauchy-Lorentz (two variants),…

Mathematical Physics · Physics 2015-08-03 Santosh Kumar

The Chiral Random Matrix Model or the Gaussian Penner Model (generalized Laguerre ensemble) is re-examined in the light of the results which have been found in double well matrix models [D97,BD99] and subtleties discovered in the single…

Statistical Mechanics · Physics 2007-05-23 N. Deo

Hubner's formula for the Bures (statistical distance) metric is applied to both a one-parameter and a two-parameter series (n=2,...,7) of sets of 2^n x 2^n density matrices. In the doubly-parameterized series, the sets are comprised of the…

Quantum Physics · Physics 2009-10-30 Paul B. Slater

We apply the general theory of Cauchy biorthogonal polynomials developed previously by the authors, to the case associated with Laguerre measures. In particular, we obtain explicit formulae in terms of Meijer-G functions for all key objects…

Probability · Mathematics 2015-06-12 M. Bertola , M. Gekhtman , J. Szmigielski

Due to considerable recent interest in the use of density matrices for a wide variety of purposes, including quantum computation, we present a general method for their parameterizations in terms of Euler angles. We assert that this is of…

Quantum Physics · Physics 2009-11-06 Mark S. Byrd , Paul B. Slater

The statistical distribution of eigenvalues of pairs of coupled random matrices can be expressed in terms of integral kernels having a generalized Christoffel--Darboux form constructed from sequences of biorthogonal polynomials. For…

Exactly Solvable and Integrable Systems · Physics 2009-11-07 M. Bertola , B. Eynard , J. Harnad

We study the local statistics of orthogonal polynomial ensembles near a hard edge, subject to a multiplicative deformation of the measure. Probabilistically, this deformation corresponds to a position-dependent conditional thinning of the…

Mathematical Physics · Physics 2026-02-23 Leslie Molag , Guilherme L. F. Silva , Lun Zhang

The transverse field profile of light is being recognized as a resource for classical and quantum communications for which reliable methods of sorting or demultiplexing spatial optical modes are required. Here, we demonstrate,…

Image and Video Processing · Electrical Eng. & Systems 2019-09-04 Amit Bekerman , Sahar Froim , Barak Hadad , Alon Bahabad

In this paper we study a certain recurrence relation, that can be used to generate ladder operators for the Laguerre Unitary ensemble, from the point of view of Sakai's geometric theory of Painlev\'e equations. On one hand, this gives us…

Exactly Solvable and Integrable Systems · Physics 2020-08-20 Yang Chen , Anton Dzhamay , Jie Hu

A comprehensive convergence and stability analysis of some probabilistic numerical methods designed to solve Cauchy-type inverse problems is performed in this study. Such inverse problems aim at solving an elliptic partial differential…

Numerical Analysis · Mathematics 2025-08-12 Iulian Cîmpean , Andreea Grecu , Liviu Marin

We consider the problem of approximating numerically the moments and the supports of measures which are invariant with respect to the dynamics of continuous- and discrete-time polynomial systems, under semialgebraic set constraints. First,…

Dynamical Systems · Mathematics 2018-07-03 Victor Magron , Marcelo Forets , Didier Henrion

We consider an ensemble of random density matrices distributed according to the Bures measure. The corresponding joint probability density of eigenvalues is described by the fixed trace Bures-Hall ensemble of random matrices which, in turn,…

Mathematical Physics · Physics 2019-07-12 Ayana Sarkar , Santosh Kumar

We compute, using a formula of Dittmann, the Bures metric tensor (g) for the eight-dimensional convex set of three-level quantum systems, employing a newly-developed Euler angle-based parameterization of the 3 x 3 density matrices. Most of…

Quantum Physics · Physics 2009-11-06 Paul B. Slater

The two matrix model is considered, with measure given by the exponential of a sum of polynomials in two different variables. It is shown how to derive a sequence of pairs of ``dual'' finite size systems of ODEs for the corresponding…

Exactly Solvable and Integrable Systems · Physics 2007-05-23 M. Bertola , B. Eynard , J. Harnad

Matrix Szego biorthogonal polynomials for quasi-definite matrices of measures are studied. For matrices of Holder weights a Riemann-Hilbert problem is uniquely solved in terms of the matrix Szego polynomials and its Cauchy transforms. The…

Classical Analysis and ODEs · Mathematics 2016-07-28 Giovanni A. Cassatella-Contra , Manuel Mañas

We study the influence of laser profile on the linewidth of the optical spectrum of multi-photon resonance phenomena. First, we investigate the dependence of the absorption spectrum on the laser profile in a two-level system. Thanks to the…

Atomic Physics · Physics 2016-08-24 Seyedeh Hamideh Kazemi , Mohammad Mahmoudi

Many matching, tracking, sorting, and ranking problems require probabilistic reasoning about possible permutations, a set that grows factorially with dimension. Combinatorial optimization algorithms may enable efficient point estimation,…

Machine Learning · Statistics 2017-10-27 Scott W. Linderman , Gonzalo E. Mena , Hal Cooper , Liam Paninski , John P. Cunningham
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