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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yu-Hsueh Chen

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Preprint Oct 2026

Markov length can diverge in systems whose universal physics is spatially Markovian

Conditional mutual information (CMI) probes spatial non-Markovianity and plays a central role in a recently developed framework for defining mixed-state phases based on local reversibility. This framework sharply distinguishes exponentially decaying from algebraically decaying CMI, since the latter obstructs equivalenc...

Yu-Hsueh Chen, Tarun Grover · 1 citation
Preprint Sep 2026

Renormalization group and long-range conditional mutual information in hierarchical models

A departure of a mixed quantum state from a local Gibbs description is generally invisible to local observables but can be detected by the conditional mutual information (CMI). Here we study the relationship between the renormalization group (RG) and CMI, and in particular, how RG constrains CMI. We first show that the...

Yu-Hsueh Chen · 0 citations

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