Choi matrices revisited. II
- URL: http://arxiv.org/abs/2307.09247v3
- Date: Thu, 12 Oct 2023 04:01:18 GMT
- Title: Choi matrices revisited. II
- Authors: Kyung Hoon Han, Seung-Hyeok Kye
- Abstract summary: We consider all possible variants of Choi matrices of linear maps.
We show that they are determined by non-degenerate bilinear forms on the domain space.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In this paper, we consider all possible variants of Choi matrices of linear
maps, and show that they are determined by non-degenerate bilinear forms on the
domain space. We will do this in the setting of finite dimensional vector
spaces. In case of matrix algebras, we characterize all variants of Choi
matrices which retain the usual correspondences between $k$-superpositivity and
Schmidt number $\le k$ as well as $k$-positivity and $k$-block-positivity. We
also compare de Pillis' definition [Pacific J. Math. 23 (1967), 129--137] and
Choi's definition [Linear Alg. Appl. 10 (1975), 285--290], which arise from
different bilinear forms.
Related papers
- Choi matrices revisited. III [0.0]
We look for all linear isomorphisms from the mapping spaces onto the tensor products of matrices.
They send $k$-superpositive maps onto unnormalized bi-partite states of Schmidt numbers less than or equal to $k$.
They also send $k$-positive maps onto $k$-block-positive matrices.
arXiv Detail & Related papers (2024-10-17T01:18:35Z) - A note on MDS Property of Circulant Matrices [3.069335774032178]
In $2014$, Gupta and Ray proved that the circulant involutory matrices over the finite field $mathbbF_2m$ can not be maximum distance separable (MDS)
This article delves into circulant matrices possessing these characteristics over the finite field $mathbbF_2m$.
arXiv Detail & Related papers (2024-06-22T16:00:00Z) - Vectorization of the density matrix and quantum simulation of the von
Neumann equation of time-dependent Hamiltonians [65.268245109828]
We develop a general framework to linearize the von-Neumann equation rendering it in a suitable form for quantum simulations.
We show that one of these linearizations of the von-Neumann equation corresponds to the standard case in which the state vector becomes the column stacked elements of the density matrix.
A quantum algorithm to simulate the dynamics of the density matrix is proposed.
arXiv Detail & Related papers (2023-06-14T23:08:51Z) - Exposedness of elementary positive maps between matrix algebras [0.0]
The positive linear maps $ad_s$ which send matrices $x$ to $s*xs$ play important roles in quantum information theory as well as matrix theory.
It was proved by Marciniak that the map $ad_s$ generates an exposed ray of the convex cone of all positive linear maps.
arXiv Detail & Related papers (2023-01-13T23:34:34Z) - Leverage Score Sampling for Tensor Product Matrices in Input Sparsity
Time [54.65688986250061]
We give an input sparsity time sampling algorithm for approximating the Gram matrix corresponding to the $q$-fold column-wise tensor product of $q$ matrices.
Our sampling technique relies on a collection of $q$ partially correlated random projections which can be simultaneously applied to a dataset $X$ in total time.
arXiv Detail & Related papers (2022-02-09T15:26:03Z) - Spectral properties of sample covariance matrices arising from random
matrices with independent non identically distributed columns [50.053491972003656]
It was previously shown that the functionals $texttr(AR(z))$, for $R(z) = (frac1nXXT- zI_p)-1$ and $Ain mathcal M_p$ deterministic, have a standard deviation of order $O(|A|_* / sqrt n)$.
Here, we show that $|mathbb E[R(z)] - tilde R(z)|_F
arXiv Detail & Related papers (2021-09-06T14:21:43Z) - Non-PSD Matrix Sketching with Applications to Regression and
Optimization [56.730993511802865]
We present dimensionality reduction methods for non-PSD and square-roots" matrices.
We show how these techniques can be used for multiple downstream tasks.
arXiv Detail & Related papers (2021-06-16T04:07:48Z) - Algebraic and geometric structures inside the Birkhoff polytope [0.0]
Birkhoff polytope $mathcalB_d$ consists of all bistochastic matrices of order $d$.
We prove that $mathcalL_d$ and $mathcalF_d$ are star-shaped with respect to the flat matrix.
arXiv Detail & Related papers (2021-01-27T09:51:24Z) - Diagonal unitary and orthogonal symmetries in quantum theory [1.5229257192293197]
We show that this class of matrices (and maps) encompasses a wide variety of scenarios, thereby unifying their study.
For linear maps, we provide explicit characterizations of the stated covariance in terms of their Kraus, Stinespring, and Choi representations.
We also describe the invariant subspaces of these maps and use their structure to provide necessary and sufficient conditions for separability of the associated invariant bipartite states.
arXiv Detail & Related papers (2020-10-15T17:25:38Z) - Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment [46.145969174332485]
We propose a fast general metric learning framework that is entirely projection-free.
We replace the PD cone constraint in the metric learning problem with possible linear constraints per distances.
Experiments show that our graph metric optimization is significantly faster than cone-projection schemes.
arXiv Detail & Related papers (2020-06-15T23:15:12Z) - Optimal Iterative Sketching with the Subsampled Randomized Hadamard
Transform [64.90148466525754]
We study the performance of iterative sketching for least-squares problems.
We show that the convergence rate for Haar and randomized Hadamard matrices are identical, andally improve upon random projections.
These techniques may be applied to other algorithms that employ randomized dimension reduction.
arXiv Detail & Related papers (2020-02-03T16:17:50Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.