Even Odd Splitting of the Gaussian Quantum Fisher Information: From Symplectic Geometry to Metrology

• URL: http://arxiv.org/abs/2601.06513v1
• Date: Sat, 10 Jan 2026 10:24:18 GMT
• Title: Even Odd Splitting of the Gaussian Quantum Fisher Information: From Symplectic Geometry to Metrology
• Authors: Kaustav Chatterjee, Tanmoy Pandit, Varinder Singh, Pritam Chattopadhyay, Ulrik Lund Andersen,
• Abstract summary: We introduce a canonical decomposition of quantum Fisher information (QFI) for centered multimode Gaussian states into two additive pieces.<n>On the pure-state manifold, the even contribution vanishes identically, while the odd contribution coincides with the QFI.<n>We extend the construction to the full QFI matrix, obtaining an additive even odd sector decomposition.
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• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce a canonical decomposition of the quantum Fisher information (QFI) for centered multimode Gaussian states into two additive pieces: an even part that captures changes in the symplectic spectrum and an odd part associated with correlation-generating dynamics. On the pure-state manifold, the even contribution vanishes identically, while the odd contribution coincides with the QFI derived from the natural metric on the Siegel upper half-space, revealing a direct geometric underpinning of pure-Gaussian metrology. This also provides a link between the graphical representation of pure Gaussian states and an explicit expression for the QFI in terms of graphical parameters. For evolutions completely generated by passive Gaussian unitaries (orthogonal symplectics), the odd QFI vanishes, while thermometric parameters contribute purely to the even sector with a simple spectral form; we also derive a state-dependent lower bound on the even QFI in terms of the purity-change rate. We extend the construction to the full QFI matrix, obtaining an additive even odd sector decomposition that clarifies when cross-parameter information vanishes. Applications to unitary sensing (beam splitter versus two-mode squeezing) and to Gaussian channels (loss and phase-insensitive amplification), including joint phase loss estimation, demonstrate how the decomposition cleanly separates resources associated with spectrum versus correlations. The framework supplies practical design rules for continuous-variable sensors and provides a geometric lens for benchmarking probes and channels in Gaussian quantum metrology.

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