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A Modular Information-Dynamical Bridge Between Open Quantum Systems, Information Geometry, Entanglement Gravity, and RG

Oleg Nesen

Published Apr 7, 2026• 0 citations
Publisher

Abstract

We propose a bridge-framework: a single operational language connecting open quantum systems (CPTP/GKSL dynamics), information geometry (contractive metrics and divergences), entanglement-based emergent geometry (correlation graphs and stability), and RG-style diagnostics (running exponents and spectral coordinates). The framework is deliberately conservative: emergence statements are paired with computable functionals, reproducible pipelines, explicit domain statements, and failure-domain reporting. We define a measurement layer {ρ,K,Kρ|σ,D, gρ, k(q), bL, ν, TP ,dρ,Sgeo} and a flow layer based on CPTP-consistent modular dynamics with a reference state σ. Two bridge theorems (with proof sketches) connect CPTP contractivity to information geometry and stable locality to well-posed MI-graph geometry. A reference experimental design (dim=64, (p, κ) grid, bootstrap seeds) is stated as an empirical anchor, with explicit limitations and upgrade paths.

DOI
10.24108/preprints-3114862

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We propose a bridge-framework: a single operational language connecting open quantum systems (CPTP/GKSL dynamics), information geometry (contractive metrics and divergences), entanglement-based emergent geometry (correlation graphs and stability), and RG-style diagnostics (running exponents and spectral coordinates). The framework is deliberately conservative: emergence statements are paired with computable functionals, reproducible pipelines, explicit domain statements, and failure-domain reporting. We define a measurement layer {ρ,K,Kρ|σ,D, gρ, k(q), bL, ν, TP ,dρ,Sgeo} and a flow layer based on CPTP-consistent modular dynamics with a reference state σ. Two bridge theorems (with proof sketches) connect CPTP contractivity to information geometry and stable locality to well-posed MI-graph geometry. A reference experimental design (dim=64, (p, κ) grid, bootstrap seeds) is stated as an empirical anchor, with explicit limitations and upgrade paths.
UMD proposes a single operational dictionary in which open quantum dynamics (CPTP/GKSL), information geometry (monotone metrics), entanglement-response ideas, and renormalization-group (RG) intuition are expressed in terms of the state ρ, modular generators K = −log ρ and Kρ|σ, and a shared panel of measurable diagnostics. The aim is not a universal “TOE claim” but a domain-aware bridge framework: each emergence statement is paired with stability criteria, explicit failure domains, and reproducibility discipline (protocol + manifest + aggregates). This paper defines the common master equation interface, the unified measurement panel, and the rules for domain statements, stability gating, and failure-domain reporting.
We propose a strong notion of portability for a unified “instrument panel” intended to operate across four domains: open quantum systems (OQS), information geometry (IG), entanglement-based emergent geometry/gravity (EG), and renormalization group (RG) flow. The panel is defined solely from a density operator ρ and its modular generator K = −log ρ (and, when needed, a visible reduction ρvis). It combines spectral profile coordinates, observable-facing modular commutator diagnostics, operational locality/criticality markers based on optimal correlation factorization, correlation-graph geometry with stability certification, and optional backreaction links. Strong portability is formulated as a transport contract: the same panel, the same gates, and the same validation protocol are applied across domains with only minimal domain adapters that declare the flow coordinate and the visible subsystem. We provide an explicit portability scorecard, robustness checks, and a strict failure-domain taxonomy to prevent overclaim.
We develop a mathematically rigorous and experimentally testable framework for the classification of physical regimes based on the modular structure of quantum states. The central object of the theory is the modular generator K = −log ρ, which provides a unified language for spectral, geometric, and information-theoretic diagnostics. We introduce a universal instrument panel (MSRO: Modular–Spectral RG Observables) that integrates spectral quantiles, commutator-based response functions, partition-based locality diagnostics, and information-geometric structures. A key requirement of the framework is strong portability: the same diagnostic protocol applies across multiple domains—including open quantum systems, information geometry, entanglement-based models, and RG-like flows—without domain-specific retuning. The main result of the work is the derivation of a universal and experimentally testable scaling law for the modular response signal: ν(λ) ∼ 1 log λ, which characterizes critical regimes in a wide class of quantum systems. We prove that this scaling emerges from spectral asymptotics of the modular operator and establish a strict equivalence between spectral, geometric, and information-theoretic descriptions of criticality: ν ↔ k(q) ↔ I(λ) ↔ K ↔ R ↔ Δ. The framework is supported by functional analytic results (including Fr´echet differentiability of log ρ), operator inequalities (Golden–Thompson, monotonicity of relative entropy), and stability estimates. We further provide a concrete experimental protocol for quantum simulators, including statistical error bounds and Fisher information constraints, making the prediction directly testable. Beyond regime classification, the results suggest a new perspective on criticality as a geometric phenomenon associated with vanishing modular curvature. The approach opens pathways toward large-N limits, quantum field extensions, and the discovery of new classes of non-standard critical behavior.
Building on the canonical emergence of the density operator ρ from normalized probabilistic structure (Paper A), we develop the next canonical layer: modular generators and CPTP-compatible evolution. For faithful states, the modular generator Kρ := −log ρ is well-defined, unitary covariant, and additive under tensor products. Introducing a phase reference state σ yields the relative modular generator Kρ|σ = −log ρ + log σ, naturally tied to the relative entropy D(ρ∥σ). We define the minimal unitary “relative modular flow” ρ˙ = −i[Kρ|σ, ρ], and then derive a physically consistent completion by augmenting the flow with GKSL dissipators, including an entropy-relaxing channel with fixed point σ and an optional classicalization channel implementing decoherence in a pointer algebra. The resulting equation constitutes a conservative, testable backbone for subsequent work on informational phases and spectral diagnostics.
Building on Paper A (canonical emergence of the density operator) and Paper B (relative modular dynamics and CPTP completion), we introduce phase structure and the emergence of locality in a conservative, information-theoretic manner. A phase is specified by an access structure encoded by an optimal partition P , the corresponding accessible algebra AF , and a pointer/center structure ZF . The reference state σF within a macro-constraint class is defined canonically via a maximum-entropy (MaxEnt) construction under macroscopic constraints extracted from AF . We emphasize the equivalence between MaxEnt references and relative-entropy projections, which provides a canonical and minimal notion of phase stability. We introduce a canonical information-geometric metric (BKM/Fishertype) on the state manifold and connect these constructions to modular spectral diagnostics used in numerical protocols, such as spectral quantiles kq = −log λq and commutator-based probes.
We introduce a tensor-network channel framework for compressed quantum dynamics on operator subsystems associated with variational many-body manifolds. Starting from a tensor-network manifold, we construct manifold-induced Heisenberg channels acting on observables and study the resulting sequential dynamics via their Schr\"odinger duals. The central mathematical result is a compression-stability statement establishing controlled approximation of sequential manifold-induced evolution, yielding a well-defined operator-system description of compressed dynamics with quantitatively bounded leakage. To connect this operator-algebraic structure with tensor-network geometry, we formulate a representability assumption asserting that intrinsic states on the compressed operator subsystem admit tensor-network representatives of bounded bond dimension. Under this assumption, tensor-network geometric structure emerges as a consequence of compressed operator dynamics rather than being imposed a priori as a variational ansatz. All geometric statements are therefore conditional on this representability assumption and do not follow from the operator-algebraic framework alone. In this setting, we establish a graph-cut mutual-information bound for representable states and introduce a geometric correlation-capacity functional determined by bond dimension and network architecture. These results provide quantitative constraints on correlation propagation within the compressed subsystem and relate information flow directly to tensor-network geometry. The framework separates a rigorous operator-algebraic layer—governing compressed observable dynamics and stability under sequential projection—from a conditional geometric layer arising under representability. This separation isolates a mathematically precise core independent of tensor-network structure while identifying the representability problem as the key bridge to geometry. From a physical perspective, tensor-network geometry becomes a dynamical constraint on information propagation and correlation capacity in compressed quantum systems. Illustrative examples involving matrix-product-state manifolds and comparisons across tensor-network architectures demonstrate how graph geometry controls representable correlation scaling. The resulting picture establishes a unified connection between compressed quantum dynamics, operator systems, tensor-network geometry, and quantum information theory, with geometry emerging from operator-algebraic compression under representability.