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.
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.
We report the discovery of a new class of critical phenomena in open quantum systems that is not governed by divergence of correlation length. In contrast to the standard paradigm, where criticality is identified by ξ → ∞, we demonstrate the existence of regimes characterized by: Δ → 0, Γ > 0, ξ = O(1), where Δ is the partition gap and Γ is the switching rate of optimal decompositions. We show that such systems exhibit a universal modular scaling law: ν(λ) ∼ 1 log λ, derived from the spectral structure of the modular generator K = −log ρ. This scaling defines a new diagnostic observable independent of spatial correlations. We formulate a hard, experimentally testable prediction: Ξ(λ) = ν(λ) · log λ → 1, which provides a falsifiable signature of modular criticality accessible in quantum simulators. The results establish a new notion of criticality rooted in spectral redistribution, commutator dynamics, and information geometry, rather than correlation length. This reveals a previously unrecognized universality class applicable to open quantum systems, non-equilibrium dynamics, and information-theoretic regimes.
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 introduce a new computational diagnostic family, MSRO (Modular–Spectral RG Observables), designed to detect emergent geometry, critical/string-like windows, and nongeometric regimes in modular RG-proxy flows. MSRO integrates spectral profile observables k(q) = −log λq(ρ), modular commutator diagnostics (normalized commutators, running exponents ν, and closure quality), and reproducible calibration rules from phase mapping. We define a spectral-only MSRO tier that predicts geometry stability and phase labels using only modular-spectral features, and a full MSRO tier that provides an “instrument panel” including locality / partition markers and backreaction response coefficients. Using a reference experimental design (dim=64 mixed/Gibbs-like family; (p, κ) grid; bootstrap seeds), we specify out-of-sample validation, robustness checks, and explicit failure domains. MSRO is presented as a measurable instrument rather than an ontological claim: every emergence statement is paired with reproducible diagnostics, uncertainty quantification, and domain-restricted validity.
We propose a reconstruction of physical theory based on the principle of distinguishability, formulated within the framework of Universal Modular Dynamics (UMD). Instead of assuming spacetime, fields, or dynamical laws as fundamental, we begin with a minimal relational structure defined by distinguishable proto-states. We show that consistency requirements on distinguishability lead naturally to a probabilistic structure, whose basis-invariant representation is given by the density operator ρ. The associated modular generator K = −log ρ encodes the intrinsic organization of the system, while its spectral distribution provides a complete description of informational structure. Within this framework, dynamics is reinterpreted as a flow in the space of states, and the renormalization group is identified with spectral evolution of ρ. Phase structure emerges from the behavior of optimal partitions, leading to an operational notion of criticality defined by landscape flatness and switching rates. We demonstrate that geometry, gauge structure, and gravitational behavior arise as emergent phenomena associated with specific dynamical regimes. In particular, gauge symmetry is interpreted as access-relative redundancy, and spacetime structure appears as an effective description of underlying spectral organization. The framework is supported by a computational program that introduces operational diagnostics, including spectral observables, modular commutators, and phase classification criteria. These tools allow for numerical exploration and identification of domains of validity. The results suggest that a unified description of physical reality can be constructed from a minimal informational ontology, in which all structures arise from intrinsic properties of the density operator and its modular dynamics.
We develop a reproducible diagnostic framework for modular phase transitions in RG-proxy flows of quantum states. The diagnostics are derived from the modular generator Kρ = −log ρ and include (i) spectral quantile coordinates kq = −log λq(ρ), (ii) a normalized commutator probe L(ρ;O) = ∥[Kρ,O]∥F /(∥Kρ∥F ∥O∥F ), and (iii) a running exponent ν extracted from sliding log–log fits of L(t). We introduce pre-registered stability rules using bootstrap over seeds and model-selection criteria (AICc/BIC/LOOCV), converting qualitative phase narratives into PASS/FAIL statements. Using a reference experiment (dim=64; Nvis = 5, Nhid = 1; Gibbs-chaotic family with mixing parameter p), we demonstrate robustness across observables (near vs far), normalization choices, and mild noise channels, and we identify explicit domain limitations (failure on extreme random-pure families). Finally, we explain how these diagnostics interface with phase/locality criteria through spectral-flow markers and provide a practical route to numerical phase mapping under modular RG-proxy dynamics.
We develop a structural framework in which physical reality is derived from the spectral properties of quantum states. Within the approach of Universal Modular Dynamics (UMD), the density operator ρ is taken as the fundamental object, and its modular generator K =−log ρ provides a representation of informational content. We show that the distribution of modular energies, defined by the spectrum of K, serves as a primary structure from which higher-level physical organization emerges. In particular, we demonstrate how spectral distributions give rise to stable structures, induce locality through optimal partitioning, and generate geometric relations via correlation-based distances. Dynamics is introduced as an intrinsic ordering of states under modular evolution, while renormalization appears as a spectral phenomenon governed by statistical properties of the modular spectrum. This establishes a connection between informational structure and physical scale. The resulting construction defines a sequential chain of emergence, ρ → p(k) → structure → locality → geometry → dynamics → scale, in which each level arises from properties of the previous one without introducing external assumptions. This work provides a unified perspective in which physical structure is understood as an emergent consequence of spectral information encoded in quantum states.