Quantum Assemblage Tomography
Quantum Physics
2025-09-17 v2
Abstract
A central requirement in asymmetric quantum nonlocality protocols, such as quantum steering, is the precise reconstruction of state assemblages -- statistical ensembles of quantum states correlated with remote classical signals. Here we introduce a generalized loss model for assemblage tomography that uses conical optimization techniques combined with maximum likelihood estimation. Using an evidence-based framework based on Akaike's Information Criterion, we demonstrate that our approach excels in the accuracy of reconstructions while accounting for model complexity. In comparison, standard tomographic methods fall short when applied to experimentally relevant data.
Cite
@article{arxiv.2408.15576,
title = {Quantum Assemblage Tomography},
author = {Luis Villegas-Aguilar and Yuanlong Wang and Alex Pepper and Travis J. Baker and Dominick J. Joch and Sven Rogge and Geoff J. Pryde and Sergei Slussarenko and Nora Tischler and Howard M. Wiseman},
journal= {arXiv preprint arXiv:2408.15576},
year = {2025}
}
Comments
Final published version