Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 22 min ago
PreprintarXiv licencearXiv

Geometric Rényi divergence and RLD Fisher information under quantum processes without definite causal order

Abstract

Quantum experiments without a definite causal order offer new ways to distinguish devices, estimate physical parameters, and communicate. We prove a common limit on these tasks: the geometric Rényi divergence at the output of a deterministic completely positive process cannot exceed the sum of the divergences of its individual channel uses. The inequality holds for every Rényi order in (0,1)∪(1,2] and any number of independently replaceable channels. Parallel experiments with separate reference-assisted inputs approach the bound, giving an exact equality after optimization over processes. We also prove an additive bound on the right logarithmic derivative Fisher information of parameter-dependent channels under every fixed process in this class. A resulting Cramér--Rao bound limits locally unbiased estimation precision without assuming a definite causal order, and an erasure-probability example attains the bound. The proofs for the geometric Rényi divergence and RLD Fisher information follow from the requirement that every independent choice of channels produce a normalized output. We show how this requirement controls positive local operations, and how small channel perturbations convert the divergence inequality into a Fisher-information bound, including for singular channels. Further applications give finite-use bounds on channel discrimination and exclusion, together with communication and private-state-generation converses when the processes preserve the relevant comparison conditions.

Related

  1. The Shape of Information: Global Information Geometric Limits in Multi-task Quantum Systems
    Zishuo Ren, Ziyang Chen, Hong Guo
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  2. Quantum Fisher Information Deficit as a Geometric Signature of Strong-to-Weak Spontaneous Symmetry Breaking
    Zhang-Chi Yin, Wei Zheng
    arXivPreprintCC BY 4.0Full textAtomic, molecular & optical physicsCondensed matterarXiv
  3. Information Geometry of Four-Parameter Single-Qutrit States: From Quantum to Semiclassical Geometric Tensors
    Xue-xiang Xu, Kai-xu Cai, Xue-feng Zhan +1
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  4. Information-geometric bounds on nonequilibrium relaxation in quantum Markov dynamics
    Xiao-Kan Guo, Zhiqiang Huang
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  5. Information-Geometric Representation of Upper Bounds on Fluctuation Growth in Open Quantum Systems
    Newshaw Bahreyni, Paul M. Alsing
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
BibTeX
@misc{huang2026geometric,
  title = {{Geometric Rényi divergence and RLD Fisher information under quantum processes without definite causal order}},
  author = {Zixin Huang and Mark M. Wilde},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.39217},
  eprint = {2610.39217},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.39217},
}
RIS
TY  - UNPB
TI  - Geometric Rényi divergence and RLD Fisher information under quantum processes without definite causal order
AU  - Zixin Huang
AU  - Mark M. Wilde
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2610.39217
UR  - https://arxiv.org/abs/2610.39217
AB  - Quantum experiments without a definite causal order offer new ways to distinguish devices, estimate physical parameters, and communicate. We prove a common limit on these tasks: the geometric Rényi divergence at the output of a deterministic completely positive process cannot exceed the sum of the divergences of its individual channel uses. The inequality holds for every Rényi order in (0,1)∪(1,2] and any number of independently replaceable channels. Parallel experiments with separate reference-assisted inputs approach the bound, giving an exact equality after optimization over processes. We also prove an additive bound on the right logarithmic derivative Fisher information of parameter-dependent channels under every fixed process in this class. A resulting Cramér--Rao bound limits locally unbiased estimation precision without assuming a definite causal order, and an erasure-probability example attains the bound. The proofs for the geometric Rényi divergence and RLD Fisher information follow from the requirement that every independent choice of channels produce a normalized output. We show how this requirement controls positive local operations, and how small channel perturbations convert the divergence inequality into a Fisher-information bound, including for singular channels. Further applications give finite-use bounds on channel discrimination and exclusion, together with communication and private-state-generation converses when the processes preserve the relevant comparison conditions.
ER  -