Eigenvalue Statistics of Random Quantum Geometry

Abstract

The quantum geometric tensor is a fundamental property of quantum states, with broad applications in condensed matter physics, topological phases, and quantum phase transitions. The eigenvalues characterize the scale, anisotropy, and effective rank of random quantum geometry, going beyond scalar quantities such as the trace. Here we study the eigenvalue statistics of the quantum geometric tensor in finite-dimensional parameter-dependent random Hamiltonians. We obtain exact analytical results for the first two nontrivial cases, $N=2$ and $N=3$, with $N=3$ already showing genuine shape fluctuations. We further propose a finite-$N$, arbitrary-$D$ description of QGT eigenvalue statistics and verify it by numerical simulations. Our results provide exact benchmarks and a practical framework for random quantum geometry in finite-dimensional disordered and chaotic systems.