Information causality characterization problem
Let denote the nonsignalling conditional distributions with , and let denote the quantum-correlation set, consisting of those distributions for which there exist a bipartite quantum state and binary measurements , such that . Determine whether the correlations satisfying generalized information causality with correlated inputs are exactly the quantum correlations; equivalently, determine whether , where is the set allowed by generalized information causality.
References
Primary source
Additional references
Progress summary
A September 2026 preprint claims that generalized information causality exactly identifies quantum correlations in the simplest Bell experiment, but this claim remains unverified.
The problem asks whether generalized information causality with correlated inputs gives exactly the quantum set in the binary two-input Bell scenario, namely . On September 9, 2026, Mariami Gachechiladze and Nikolai Miklin claimed this equality by deriving the Tsirelson–Landau–Masanes criterion.
Known results
- Correlated-input information causality produced inequalities stronger than Uffink’s inequality in the scenario (2023), but not equality.
- Information causality was compared with macroscopic locality, yielding approximation results rather than a full characterization (2021).
- Numerical studies recovered portions of the quantum boundary while leaving gaps (2022–2023).
September 9, 2026 claimed characterization
The preprint states that a new correlated-input protocol derives the relevant TLM inequalities and that generalized information causality therefore exactly characterizes . It also claims generalized information causality is stronger than macroscopic locality. These are unverified claims rather than an independently established resolution.
Current status (as of October 2026): The equality is claimed in a September 2026 preprint, but the claim remains unverified.
Sources
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