Optimizing Quantum State Transformation Under Locality Constraint

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Sarbishegi, Sasan, Mirkamali, Maryam Sadat
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866909975504224256
author Sarbishegi, Sasan
Mirkamali, Maryam Sadat
author_facet Sarbishegi, Sasan
Mirkamali, Maryam Sadat
contents In this paper, we present a general numerical framework for both deterministic and probabilistic quantum state transformations, under locality constraints. For a given arbitrary bipartite initial state and a desired bipartite target state, we construct an optimized local quantum channel that transforms the initial state into the target state with high fidelity. To achieve this goal, local quantum channels are parametrized on a complex Stiefel manifold and optimized using gradient-based methods. We demonstrate that this approach significantly enhances entanglement distillation for weakly entangled states via two complementary strategies: optimized local state transformation and probabilistic local transformation. These results establish our method as a powerful and versatile tool for a broad class of quantum information processing tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21310
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimizing Quantum State Transformation Under Locality Constraint
Sarbishegi, Sasan
Mirkamali, Maryam Sadat
Quantum Physics
In this paper, we present a general numerical framework for both deterministic and probabilistic quantum state transformations, under locality constraints. For a given arbitrary bipartite initial state and a desired bipartite target state, we construct an optimized local quantum channel that transforms the initial state into the target state with high fidelity. To achieve this goal, local quantum channels are parametrized on a complex Stiefel manifold and optimized using gradient-based methods. We demonstrate that this approach significantly enhances entanglement distillation for weakly entangled states via two complementary strategies: optimized local state transformation and probabilistic local transformation. These results establish our method as a powerful and versatile tool for a broad class of quantum information processing tasks.
title Optimizing Quantum State Transformation Under Locality Constraint
topic Quantum Physics
url https://arxiv.org/abs/2512.21310