I study how quantum resources can be used to generate non-classical correlations, ultimately seeking a quantitative characterization and a qualitative explanation of quantum correlations. In particular I am interested in:
Causal structure in the language of Bayesian Directed Acyclic Graphs
Quantifying the quantum-over-classical advantage in network-based information-theoretic tasks
Contrasting quantum Hilbert space dimension with classical cardinality of latent variables
Quantum Contextuality, in particular, algorithms for quantifying Universal Noncontextuality
A resource theory of quantum nonclassicality, including Nonlocality and Contextuality
Recent Publications
John Matthew Donohue and Elie Wolfe, Identifying nonconvexity in the sets of limited-dimension quantum correlations, Phys. Rev. A, 92, 14 December 2015, arXiv: 1506.01119
The Inflation Technique Solves Completely the Classical Inference Problem, Miguel Navascues, Elie Wolfe, arXiv: 1707.06476
Multipartite Composition of Contextuality Scenarios, Ana Belén Sainz, Elie Wolfe, arXiv: 1701.05171
Deriving Robust Noncontextuality Inequalities from Algebraic Proofs of the Kochen-Specker theorem: the Peres-Mermin square, Anirudh Krishna, Robert W. Spekkens, Elie Wolfe, arXiv: 1704.01153
The Inflation Technique for Causal Inference with Latent Variables, Elie Wolfe, Robert W. Spekkens, Tobias Fritz, arXiv: 1609.00672
Seminars
What Quantum Networks (cannot) do: Insights from the Inflation Technique, Oxford, United Kingdom (Quantum Networks Workshop #3)
Causal Infeasibility Criteria (Polynomial Inequalities) for the Triangle Scenario (and other Causal Structures), Barcelona, Spain (Quantum Networks Workshop #1)