Quantum Geometry, Fractionalization, and Provability Hierarchy: A Unified Framework for Strongly Correlated Systems
Zhanchun Li, Renwu Zhang

TL;DR
This paper introduces a unified framework for strongly correlated systems, revealing geometric, topological, and fractionalized phenomena, with predictions verified by numerical methods and implications for quantum material classification.
Contribution
It presents five novel discoveries linking quantum geometry, fractionalization, and computational complexity in strongly correlated systems.
Findings
Prediction of golden-ratio scaling of quantum metric fluctuations near Mott criticality
Fibonacci sequence of allowed fractional Chern insulator charges
Classification of critical states as 'true but unprovable' QMA-hard problems
Abstract
Mott physics - the interplay between itinerancy and localization of electrons - is undergoing a paradigm shift from the binary "bandwidth - filling" tuning framework to an intertwining of geometric, topological, and fractionalized degrees of freedom. Based on a series of breakthroughs in 2024 - 2025, this paper proposes five pioneering discoveries: (1) Prediction of the golden-ratio scaling of quantum metric fluctuations near the Mott critical point, supported by functional renormalization group arguments and DMRG numerical verification (phi = 0.618 +/- 0.005); (2) Establishment of a correspondence between the denominator q of fractional Chern insulator charge and the subgroup index of the quantum geometry group, predicting that allowed q values follow the Fibonacci sequence {2,3,5,8,13,...} with specific material realizations; (3) Proposal of the Provability Hierarchy Theorem,…
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