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This paper provides a rigorous geometric comparison between Krylov state complexity and information-geometric measures for qubit dynamics, demonstrating that they capture fundamentally distinct aspects of quantum evolution: directional spread versus effective volume explored. By formalizing these concepts in terms of curvature and trajectory efficiency, the work clarifies the complementary roles of state-based and information-geometric approaches in analyzing quantum systems. The analysis offers a theoretical framework for distinguishing between geodesic and non-geodesic paths in stationary and nonstationary Hamiltonian evolutions.
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Krylov's State Complexity and Information Geometry in Qubit Dynamics

arXiv2 min read

arXiv:2601.18941v2 Announce Type: replace Abstract: We compare Krylov's state complexity with an information-geometric (IG) measure of complexity for the quantum evolution of two-level systems. Focusing on qubit dynamics on the Bloch sphere, we analyze evolutions generated by stationary and nonstationary Hamiltonians, corresponding to geodesic and nongeodesic trajectories. We formulate Krylov complexity in geometric terms, both instantaneously and in a time-averaged sense, and contrast it with an IG complexity of quantum evolutions characterized in terms of efficiency and curvature. We show that the two measures reflect fundamentally different aspects of quantum dynamics: Krylov's state complexity quantifies the directional spread of the evolving state relative to the initial state, whereas the IG complexity captures the effective volume explored along the trajectory on the Bloch sphere. This geometric distinction explains their inequivalent behavior and highlights the complementary nature of state-based and information-geometric notions of complexity in quantum systems.

Abstract:We compare Krylov's state complexity with an information-geometric (IG) measure of complexity for the quantum evolution of two-level systems. Focusing on qubit dynamics on the Bloch sphere, we analyze evolutions generated by stationary and nonstationary Hamiltonians, corresponding to geodesic and nongeodesic trajectories. We formulate Krylov complexity in geometric terms, both instantaneously and in a time-averaged sense, and contrast it with an IG complexity of quantum evolutions characterized in terms of efficiency and curvature. We show that the two measures reflect fundamentally different aspects of quantum dynamics: Krylov's state complexity quantifies the directional spread of the evolving state relative to the initial state, whereas the IG complexity captures the effective volume explored along the trajectory on the Bloch sphere. This geometric distinction explains their inequivalent behavior and highlights the complementary nature of state-based and information-geometric notions of complexity in quantum systems.

arXiv:2601.18941 [quant-ph]

(or arXiv:2601.18941v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2601.18941 Focus to learn more arXiv-issued DOI via DataCite

Eur. Phys. J. Plus 141, 639 (2026)

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