Operator on Operator Regression in Quantum Probability

Fuente: arXiv
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Main Authors: Bhar, Suprio, Dhar, Subhra Sankar, Joardar, Soumalya
Format: Preprint
Published: 2024
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author Bhar, Suprio
Dhar, Subhra Sankar
Joardar, Soumalya
author_facet Bhar, Suprio
Dhar, Subhra Sankar
Joardar, Soumalya
contents This article introduces operator on operator regression in quantum probability. Here in the regression model, the response and the independent variables are certain operator valued observables, and they are linearly associated with unknown scalar coefficient (denoted by $β$), and the error is a random operator. In the course of this study, we propose a quantum version of a class of estimators (denoted by $M$ estimator) of $β$, and the large sample behaviour of those quantum version of the estimators are derived, given the fact that the true model is also linear and the samples are observed eigenvalue pairs of the operator valued observables.
format Preprint
id arxiv_https___arxiv_org_abs_2408_00289
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Operator on Operator Regression in Quantum Probability
Bhar, Suprio
Dhar, Subhra Sankar
Joardar, Soumalya
Methodology
Quantum Physics
46L53, 62J05, 62F35, 62F12
This article introduces operator on operator regression in quantum probability. Here in the regression model, the response and the independent variables are certain operator valued observables, and they are linearly associated with unknown scalar coefficient (denoted by $β$), and the error is a random operator. In the course of this study, we propose a quantum version of a class of estimators (denoted by $M$ estimator) of $β$, and the large sample behaviour of those quantum version of the estimators are derived, given the fact that the true model is also linear and the samples are observed eigenvalue pairs of the operator valued observables.
title Operator on Operator Regression in Quantum Probability
topic Methodology
Quantum Physics
46L53, 62J05, 62F35, 62F12
url https://arxiv.org/abs/2408.00289