Support-Projected Petz Monotone Geometry of Pure Two-Qubit Families: Universal Three-Channel Decomposition and Non-Reduction of Curvature Invariants
Gunhee Cho, Jeongwoo Jae
TL;DR
This work develops a support-projected Petz geometry for smooth pure two-qubit families by pulling back arbitrary Petz monotone metrics to the active spectral support and projecting onto it, unifying the SLD/Bures case with other metrics such as WY and BKM. It proves a universal three-channel decomposition of the reduced Petz QFI into population, coherence, and concurrence-derivative channels, with weights determined by the Morozova–Chentsov kernel; importantly, curvature invariants cannot be reduced to functions of concurrence or reduced entropy, showcasing a fundamental distinction between entanglement and curvature as quantum resources. An entanglement-orthogonal gauge is constructed to reveal how population and coherence derivatives influence curvature independently of entanglement, and explicit counterexamples in the SLD/Bures setting (via a four-parameter 2-HEA) demonstrate non-monotonicity and the failure of one-channel curvature formulas. The framework is leveraged to propose geometry-aware natural-gradient preconditioning for VQAs and is validated through VQE experiments, illustrating stable optimization on reduced manifolds despite rank deficiencies. The results have broad implications for quantum information geometry, Gaussian-state curvature, and the design of curvature-aware variational algorithms.
Abstract
We develop a support-projected Petz monotone geometry for pure two-qubit families, obtained by pulling back arbitrary Petz monotone quantum metrics to circuit-defined submanifolds and projecting onto the active spectral support of the associated quantum Fisher information tensor. This framework strictly generalizes the symmetric logarithmic derivative (SLD/Bures) case and includes, as special examples, the Wigner--Yanase and Bogoliubov--Kubo--Mori metrics among many others.
