Quantum Entanglement-Based Distributed Causal Inference (QEBCI)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper proposes a novel framework for causal inference, termed Quantum Entanglement-Based Distributed Causal Inference (QEBCI), leveraging the unique properties of quantum entanglement to overcome the limitations of traditional causal inference methods in distributed environments. The core concept involves constructing a distributed network of quantum nodes, each storing a portion of causal data. Utilizing entangled states, instantaneous correlations and updates across these nodes are facilitated, enabling the construction of a global causal graph. Furthermore, quantum error correction techniques are integrated to ensure the accuracy of computations. QEBCI offers the potential for high-fidelity, real-time, and distributed causal inference, particularly relevant for complex systems and large-scale datasets where data silos and information latency pose significant challenges. The proposed methodology provides a theoretical foundation and outlines a key mechanism for achieving this. ---

DOI: 10.5281/zenodo.22465307

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