Geometric Characterization of Anisotropic Correlations via Mutual Information Tomography
Beau Leighton-Trudel

TL;DR
This paper introduces a geometric framework based on mutual information to characterize anisotropic correlations in quantum systems, enabling the reconstruction of local geometric features from finite measurements.
Contribution
It develops a coordinate-invariant geometric map using mutual information, proving conditions for a Riemannian structure, and introduces MI Tomography for practical reconstruction of anisotropic features.
Findings
The geometric map yields a smooth Riemannian structure under specific mutual information decay laws.
Isotropic mutual information suppresses shear degrees of freedom, leading to conformal flatness.
The MI Tomography protocol successfully reconstructs anisotropic features in a quantum harmonic lattice.
Abstract
Characterizing anisotropic correlations in quantum and statistical systems requires a coordinate-invariant framework. We introduce a geometric map based on the local informational line element, calibrated by the Euclidean benchmark scale : . We prove that this map yields a smooth Riemannian structure if and only if the short-distance mutual information (MI) follows the anisotropic inverse-quadratic law (local exponent ). A key insight is that anisotropy is necessary to activate tensor geometry; isotropic MI forces conformal flatness , suppressing shear degrees of freedom. We employ a parameterization-invariant unimodular split , which rigorously separates local density fluctuations (volume ) from directional anisotropy (shape/shear…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum many-body systems · Statistical Mechanics and Entropy · Noncommutative and Quantum Gravity Theories
