PIRSA:18100102

Video URL

https://pirsa.org/18100102

An Unconventional Classification of Multipartiteness + Inflation Techniques for Causal Inference for Quantum Networks

Wolfe, E. (2018). An Unconventional Classification of Multipartiteness + Inflation Techniques for Causal Inference for Quantum Networks. Perimeter Institute for Theoretical Physics. https://pirsa.org/18100102

Wolfe, Elie. An Unconventional Classification of Multipartiteness + Inflation Techniques for Causal Inference for Quantum Networks. Perimeter Institute for Theoretical Physics, Oct. 30, 2018, https://pirsa.org/18100102 

          @misc{ scivideos_PIRSA:18100102,
            doi = {10.48660/18100102},
            url = {https://pirsa.org/18100102},
            author = {Wolfe, Elie},
            keywords = {Quantum Foundations},
            language = {en},
            title = {An Unconventional Classification of Multipartiteness + Inflation Techniques for Causal Inference for Quantum Networks},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2018},
            month = {oct},
            note = {PIRSA:18100102 see, \url{https://scivideos.org/pirsa/18100102}}
          }

Elie Wolfe Perimeter Institute for Theoretical Physics

Talk numberPIRSA:18100102
DOI10.48660/18100102
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

Abstract

What does it mean for quantum state to be genuinely fully multipartite? Some would say, whenever the state cannot be decomposed as a mixture of states each of which has no entanglement across some partition. I'll argue that this partition-centric thinking is ill-suited for the task of assessing the connectivity of the network required to realize the state. I'll introduce a network-centric perspective for classifying multipartite entanglement, and it's natural device-independent counterpart, namely a network-centric perspective for classifying multipartite nonclassicality of correlations. Time permitting, we can then explore semidefinite programming (SDP) algorithms for convex optimization over k-partite-entangled states and k-partite-nonlocal correlations relative to the network-centric classification. Joint work with Denis Rosset and others. We will compare the new quantum-inflation techniques to the classical inflation of arXiv:1609.00672. I'll share a few results made possible by these SDPs, while being openly critical about some disappointing apparent limitations.