Semidefinite block-matrix relaxations for computing quantum correlations

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: D'Alessandro, Nicola, Carceller, Carles Roch i, Tavakoli, Armin
Format: Preprint
Veröffentlicht: 2026
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866918398909218816
author D'Alessandro, Nicola
Carceller, Carles Roch i
Tavakoli, Armin
author_facet D'Alessandro, Nicola
Carceller, Carles Roch i
Tavakoli, Armin
contents Bounding the correlations predicted by quantum theory is an important challenge in quantum information science. Today's leading approach is semidefinite programming relaxations, but existing methods still cannot account for many relevant types of constraints. Here, we propose a semidefinite relaxation methodology that can incorporate a breadth of constraints needed in various quantum correlation problems, thereby generalising the seminal Navascués-Pironio-Acín hierarchy. It yields useful results at reasonable computational cost. We showcase the methodology and its features by using it to address five different quantum information problems. These are (i) entanglement witnessing from imperfect measurement devices, (ii) certifying measurements from fidelity-constrained sources, (iii) computing dimensionality in genuine multi-particle entangled states, (iv) benchmarking dimensionality for state preparation devices, and (v) finding uncertainty relations for nearly anti-commuting observables. These applications reflect both the usefulness and versatility of the methodology, as well as its potential for broader relevance in the field.
format Preprint
id arxiv_https___arxiv_org_abs_2603_19388
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Semidefinite block-matrix relaxations for computing quantum correlations
D'Alessandro, Nicola
Carceller, Carles Roch i
Tavakoli, Armin
Quantum Physics
Bounding the correlations predicted by quantum theory is an important challenge in quantum information science. Today's leading approach is semidefinite programming relaxations, but existing methods still cannot account for many relevant types of constraints. Here, we propose a semidefinite relaxation methodology that can incorporate a breadth of constraints needed in various quantum correlation problems, thereby generalising the seminal Navascués-Pironio-Acín hierarchy. It yields useful results at reasonable computational cost. We showcase the methodology and its features by using it to address five different quantum information problems. These are (i) entanglement witnessing from imperfect measurement devices, (ii) certifying measurements from fidelity-constrained sources, (iii) computing dimensionality in genuine multi-particle entangled states, (iv) benchmarking dimensionality for state preparation devices, and (v) finding uncertainty relations for nearly anti-commuting observables. These applications reflect both the usefulness and versatility of the methodology, as well as its potential for broader relevance in the field.
title Semidefinite block-matrix relaxations for computing quantum correlations
topic Quantum Physics
url https://arxiv.org/abs/2603.19388