Approximating the order 2 quantum Wasserstein distance using the moment-SOS hierarchy

Fuente: arXiv
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Autori principali: Chhatoi, Saroj Prasad, Magron, Victor
Natura: Preprint
Pubblicazione: 2025
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author Chhatoi, Saroj Prasad
Magron, Victor
author_facet Chhatoi, Saroj Prasad
Magron, Victor
contents Optimal transport theory has recently been extended to quantum settings, where the density matrices generalize the probability measures. In this paper, we study the computational aspects of the order 2 quantum Wasserstein distance, formulating it as an infinite dimensional linear program in the space of positive Borel measures supported on products of two unit spheres. This formulation is recognized as an instance of the Generalized Moment Problem, which enables us to use the moment-sums of squares hierarchy to provide a sequence of lower bounds converging to the distance. We illustrate our approach with numerical experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2506_20006
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Approximating the order 2 quantum Wasserstein distance using the moment-SOS hierarchy
Chhatoi, Saroj Prasad
Magron, Victor
Optimization and Control
Optimal transport theory has recently been extended to quantum settings, where the density matrices generalize the probability measures. In this paper, we study the computational aspects of the order 2 quantum Wasserstein distance, formulating it as an infinite dimensional linear program in the space of positive Borel measures supported on products of two unit spheres. This formulation is recognized as an instance of the Generalized Moment Problem, which enables us to use the moment-sums of squares hierarchy to provide a sequence of lower bounds converging to the distance. We illustrate our approach with numerical experiments.
title Approximating the order 2 quantum Wasserstein distance using the moment-SOS hierarchy
topic Optimization and Control
url https://arxiv.org/abs/2506.20006