activity
20182026
most citedSemidefinite programming relaxations for quantum correlations

58 citations · 143 across the 11 of their papers we have counts for

collaborators

16 papers

quant-ph2026

Uncountably many inequivalent maximally entangled measurements for two qutrits

Elna Svegborn, Jef Pauwels, Nicolas Gisin +1

Every two-qubit measurement basis composed of maximally entangled eigenstates can be transformed into the Bell basis via local unitary operations. For higher dimensions, in contras…

quant-ph2025★ 1 cited

Symmetric Localizable Multipartite Quantum Measurements from Pauli Orbits

Jef Pauwels, Cyril Branciard, Alejandro Pozas-Kerstjens +1

While the structure of entangled quantum states is relatively well understood, the characterization of entangled measurements, especially in multipartite and high-dimensional setti…

quant-ph2025★ 2 cited

Local models and Bell inequalities for the minimal triangle network

José Mário da Silva, Alejandro Pozas-Kerstjens, Fernando Parisio

Nonlocal correlations created in networks with multiple independent sources enable surprising phenomena in quantum information and quantum foundations. The presence of independent…

quant-ph2025★ 1 cited

Symmetric observations without symmetric causal explanations

Christian William, Patrick Remy, Jean-Daniel Bancal +3

Inferring causal models from observed correlations is a challenging task, crucial to many areas of science. In order to alleviate the computational effort when sifting through poss…

quant-ph2024★ 7 cited

Classification of joint quantum measurements based on entanglement cost of localization

Jef Pauwels, Alejandro Pozas-Kerstjens, Flavio Del Santo +1

Despite their importance in quantum theory, joint quantum measurements remain poorly understood. An intriguing conceptual and practical question is whether joint quantum measuremen…

quant-ph2023★ 58 cited

Semidefinite programming relaxations for quantum correlations

Armin Tavakoli, Alejandro Pozas-Kerstjens, Peter Brown +1

Semidefinite programs are convex optimisation problems involving a linear objective function and a domain of positive semidefinite matrices. Over the last two decades, they have be…