Quantum Geometric Tensor in the Wild: Resolving Stokes Phenomena via Floquet-Monodromy Spectroscopy
Prasoon Saurabh

TL;DR
This paper introduces Floquet-Monodromy Spectroscopy, a novel method to extract hidden geometric data in quantum systems with singularities, enabling accurate topological classification beyond traditional invariants.
Contribution
The authors develop FMS to experimentally access Stokes phenomena, resolving failures of standard topological invariants in non-Hermitian and driven quantum systems.
Findings
FMS successfully extracts Stokes multipliers from superconducting qudits.
The Stokes Invariant acts as a new quantum number for phase classification.
Standard invariants fail in the presence of essential singularities.
Abstract
Standard topological invariants, such as the Chern number and Berry phase, form the bedrock of modern quantum matter classification. However, we demonstrate that this framework undergoes a \textbf{catastrophic failure} in the presence of essential singularities -- ubiquitous in open, driven, and non-Hermitian systems ("Wild" regime). In these settings, the local geometric tensor diverges, rendering standard invariants ill-defined and causing perturbative predictions to deviate from reality by order unity (). We resolve this crisis by introducing the \textbf{Floquet-Monodromy Spectroscopy (FMS)} protocol, a pulse-level control sequence, which experimentally extracts the hidden \textit{Stokes Phenomenon} -- the "missing" geometric data that completes the topological description. By mapping the singularity's Stokes multipliers to time-domain observables, FMS provides a rigorous…
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 Mechanics and Non-Hermitian Physics · Topological Materials and Phenomena · Quantum many-body systems
