Quantum Non-classicality from Causal Data Fusion
Pedro Lauand, Bereket Ngussie Bekele, Elie Wolfe

TL;DR
This paper investigates how combining observational and interventional data under causal inference frameworks reveals quantum non-classicality, even in cases where traditional Bell non-classicality cannot be observed, highlighting new quantum phenomena from data fusion.
Contribution
It introduces the concept of non-classicality emerging from causal data fusion, demonstrating quantum effects in broader scenarios than standard Bell tests and exploring quantum resources in multiple interventions.
Findings
Quantum non-classicality can arise from data fusion even without Bell non-classicality.
Non-classicality can be achieved across multiple interventions using quantum resources.
The work extends previous results with detailed proofs and broader causal structures.
Abstract
Bell's theorem, a cornerstone of quantum theory, shows that quantum correlations are incompatible with a classical theory of cause and effect. Through the lens of causal inference, it can be understood as a particular case of causal compatibility, which delves into the alignment of observational data with a given causal structure. Here, we explore the problem of causal data fusion that aims to piece together data tables collected under heterogeneous conditions. We investigate the quantum non-classicality that emerges when integrating both passive observations and interventions within an experimental setup. Referred to as "non-classicality from data fusion," this phenomenon is identified and scrutinized across all latent exogenous causal structures involving three observed variables. Notably, we demonstrate the existence of quantum non-classicality resulting from data fusion, even in…
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Taxonomy
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Cold Fusion and Nuclear Reactions
