This preprint presents a foundational theory that reinterprets quantum mechanics not as a description of fundamental physical reality, but as the emergent statistical signature of a universal information-processing architecture. We introduce and formally define the Ze (Zero-point entropy) system—an active predictive engine that operates through a mandatory cycle of forward prediction and retrograde inference. The system's core axiom is that the retrograde encoding process, essential for reconciling past models with present evidence, necessitates a complete cessation of the forward information flow. From this single architectural constraint, we mathematically derive phenomena isomorphic to quantum superposition, interference, and wavefunction collapse. Superposition corresponds to a dynamical equilibrium of multiple predictive hypotheses; collapse is a structured, non-fundamental process triggered when hypothesis divergence exceeds a system-specific stability threshold; and interference arises from the coherent blending of compatible hypotheses. The framework positions quantum behavior as an epistemic property of any system performing active inference under this architectural constraint, bridging domains from particle physics to cognitive neuroscience. We present novel, falsifiable predictions and propose that quantum theory describes the dynamics of a universal class of predictive engines, not a microscopic realm of reality.
This preprint presents a foundational theory that reinterprets quantum mechanics not as a description of fundamental physical reality, but as the emergent statistical signature of a universal information-processing architecture. We introduce and formally define the Ze (Zero-point entropy) system—an active predictive engine that operates through a mandatory cycle of forward prediction and retrograde inference. The system's core axiom is that the retrograde encoding process, essential for reconciling past models with present evidence, necessitates a complete cessation of the forward information flow. From this single architectural constraint, we mathematically derive phenomena isomorphic to quantum superposition, interference, and wavefunction collapse. Superposition corresponds to a dynamical equilibrium of multiple predictive hypotheses; collapse is a structured, non-fundamental process triggered when hypothesis divergence exceeds a system-specific stability threshold; and interference arises from the coherent blending of compatible hypotheses. The framework positions quantum behavior as an epistemic property of any system performing active inference under this architectural constraint, bridging domains from particle physics to cognitive neuroscience. We present novel, falsifiable predictions and propose that quantum theory describes the dynamics of a universal class of predictive engines, not a microscopic realm of reality.
This paper proposes a novel theoretical framework that reinterprets quantum behavior—superposition, interference, and wavefunction collapse—not as fundamental properties of matter but as emergent epistemic properties of a specific class of information-processing architectures, termed Ze systems. A Ze system is defined as an active predictive engine that operates on continuous data streams through two distinct modes: forward reading (ℱ) and retrograde encoding (ℛ). The core architectural constraint is that ℛ, the process of running predictions backward to reconcile models, necessitates the cessation of the forward information flow ℱ. We demonstrate that superposition corresponds to the system state where competing internal hypotheses remain compatible, formally defined by a small free energy difference (ΔF < θ). Collapse is not a primitive event but a structured, two-stage process triggered when ΔF ≥ θ: first, the mandatory stoppage of ℱ, and second, the execution of ℛ to achieve a single, globally consistent model. Interference is shown to be a statistical signature of the coherent blending of hypotheses when they are non-distinguishable. This framework generates testable predictions across scales, from the accelerated decoherence of complex molecules to the modulation of cognitive flexibility during REM sleep. By deriving quantum phenomena from a principle of predictive inference, the theory bridges the Free Energy Principle, relational quantum mechanics, and decoherence theory, suggesting that quantumness is a universal signature of systems that must pause to look backward in order to predict the future.
The measurement problem in quantum mechanics challenges our understanding of reality, demanding explanations beyond both Copenhagen's "collapse" and the Many-Worlds' ontological multiplicity. This paper introduces and formalizes the Ze framework as a novel synthesis of Relational Quantum Mechanics (RQM) and the Active Inference paradigm from theoretical neuroscience. Ze posits that quantum states are relational, defined by the posterior beliefs of interacting generative models engaged in variational free energy minimization. Within this framework, quantum superposition is formalized as high compatibility (ℐ ≈ 1) between competing models, characterized by low free-energy conflict (ΔF < θ). Conversely, the transition to a localized state—the physical correlate of "collapse"—is reconceived not as a metaphysical event but as an optimization-driven phase transition. This occurs when model conflict exceeds a critical threshold (ΔF > θ), a process objectively driven by interactions like which-path marking. We demonstrate that matter-wave interferometry with complex molecules provides a direct experimental testbed for these principles, where which-path information and quantum erasure actively manipulate ΔF. Extending the isomorphism, we propose that transitions in human cognition—from focused wakefulness to dreaming and psychedelic states—are governed by analogous shifts in the brain's inferential threshold (θ). Thus, Ze offers a unified, testable architecture bridging quantum foundations, statistical physics, and the neuroscience of consciousness.
This preprint outlines a detailed theoretical framework for the "Ze System" (ZS), a proposed methodological paradigm for investigating phenomena that are not directly observable. It challenges the classical model of passive observation, positing that a significant portion of reality's structure exists in a latent, wave-like state of distributed possibilities (Zurek, 2003). The ZS is conceptualized as an active instrument designed to provoke the transition of these latent structures into a localized, observable ("particle") state. Its core operational principle is the deliberate engineering of predictive conflict: by forcing a system to resolve incompatible, high-precision predictions (e.g., Model A vs. Model B), hidden variables are compelled to manifest to avoid a logical-physical impasse. This manuscript elaborates the ontological foundations (reality as latent information flux), methodological pillars (predictive pressure, dual reading, manipulators), and the formal architecture of a ZS. We discuss potential applications in quantum phenomenology, pre-clinical disease detection, and cognitive science, while rigorously addressing the epistemological and ethical implications of an interventionist science. The framework synthesizes concepts from quantum measurement theory, predictive processing neuroscience, and complex systems biology into a novel proposal for experimental philosophy.
We propose the Generative Reality Hypothesis (GRH), a novel interpretation of quantum mechanics that reconceptualizes physical reality as an information-processing system analogous to generative artificial intelligence models. Under this framework, quantum superposition represents the latent space of possible states, wave function collapse corresponds to sampling from probability distributions during information queries (measurements), and the Born rule emerges as the fundamental sampling algorithm of reality. We present rigorous mathematical foundations establishing formal equivalences between quantum dynamics and specific generative models. Our framework recasts the measurement problem as a question of computational process, explains non-local correlations as the enforcement of consistency within a shared generative model, and provides a mechanistic explanation for wave-particle duality as a transition between two computational modes: continuous latent evolution (wave) and discrete sampling (particle). We propose five specific, falsifiable experimental tests using current quantum technologies that can distinguish GRH from standard quantum mechanics through quantitative predictions about complexity-dependent decoherence, measurement dynamics, and information flow. Statistical criteria for falsification are established with required experimental precision specified. The framework connects quantum mechanics to information theory and computational complexity, offering a computationally grounded foundation for quantum phenomena while making testable predictions that differ measurably from existing interpretations.
This paper presents a definitive refutation of the recurring conjecture that the Ze framework constitutes a variant of the Many-Worlds Interpretation (MWI) of quantum mechanics. Through a systematic, point-by-point analysis, we demonstrate that the two are radically orthogonal paradigms, separated by irreconcilable differences in their foundational principles. While both reject the notion of a fundamental wavefunction collapse, MWI responds by positing an ever-branching multiverse where all quantum possibilities are ontologically real. In stark contrast, the Ze framework, grounded in the principles of active inference and free energy minimization, preserves a single-world ontology. It reinterprets quantum superpositions as manifestations of unresolved epistemic model conflict within an adaptive system, and "measurement" as the physical process of forced localization, where a definite history crystallizes. The analysis conclusively distinguishes Ze from MWI across critical dimensions: the nature of alternatives (ontological worlds vs. epistemic models), the process of definiteness (subjective branching vs. objective optimization), the role of the observer (covert privilege vs. its elimination), and the capacity for empirical prediction. We conclude that Ze is not an interpretation of quantum formalism but a broader theory of how adaptive systems, from particles to brains, resolve uncertainty, thereby offering a monistic, parsimonious, and empirically grounded alternative to the inflationary ontology of the multiverse.
The double-slit experiment, a cornerstone of quantum mechanics, is traditionally viewed as a paradoxical demonstration of wave-particle duality. This article posits that its core dynamic—superposition, interference, and environment-driven localization—is not a unique quantum phenomenon but a fundamental computational principle implemented by the brain. We introduce the Ze framework, arguing that the brain operates as a biological interferometer. Cognitive systems maintain multiple generative hypotheses in a state of active interference (superposition), analogous to the quantum wavefunction passing through both slits. "Which-path" information, supplied by sensory data, action, and social context, forces cognitive decoherence, localizing perception and decision into a single narrative. Sleep is recast as an intrinsic quantum eraser, periodically degrading which-path information to restore cognitive flexibility and prevent pathological hyper-localization. The framework structurally links quantum decoherence, Bayesian active inference, and the neurobiology of sleep and wake cycles. It provides a transdiagnostic model for psychopathology, where disorders like psychosis and PTSD are seen as dysregulations of this interference-localization cycle. We conclude that the brain does not observe quantum reality; it actively instantiates its core logic, making the double-slit experiment a continuous, lived process of resolving ambiguity to survive and understand the world.