This work introduces a unified lattice-based simulation model that operationalizes the Conscious Quantum Framework (CQF) and tests whether agent-driven collapse can produce measurable, non-random signatures. The model embeds the Intentional Collapse Operator into a network of coupled cellular units, enabling the analysis of internal–external basis selection, observer-dependent bias, global information transfer, and harmonic field modulation. Across multiple perspectives—global coherence, selective collapse trajectories, radial propagation, and interference under spherical harmonic driving—the simulations consistently produce structured outcomes distinguishable from probabilistic noise. Mutual information, transfer entropy, and bootstrap validation confirm robust information flow even under perturbations, noise, and heterogeneous coupling. The results provide computational evidence that CQF yields reproducible dynamical and statistical patterns, suggesting that intentional collapse is not only conceptually coherent but also testable within abstract mesoscopic systems. The framework establishes a foundation for connecting CQF predictions to physical, biological, or cognitive phenomena and outlines a path toward future empirical validation.
This work introduces a unified lattice-based simulation model that operationalizes the Conscious Quantum Framework (CQF) and tests whether agent-driven collapse can produce measurable, non-random signatures. The model embeds the Intentional Collapse Operator into a network of coupled cellular units, enabling the analysis of internal–external basis selection, observer-dependent bias, global information transfer, and harmonic field modulation. Across multiple perspectives—global coherence, selective collapse trajectories, radial propagation, and interference under spherical harmonic driving—the simulations consistently produce structured outcomes distinguishable from probabilistic noise. Mutual information, transfer entropy, and bootstrap validation confirm robust information flow even under perturbations, noise, and heterogeneous coupling. The results provide computational evidence that CQF yields reproducible dynamical and statistical patterns, suggesting that intentional collapse is not only conceptually coherent but also testable within abstract mesoscopic systems. The framework establishes a foundation for connecting CQF predictions to physical, biological, or cognitive phenomena and outlines a path toward future empirical validation.
Artificial intelligence (AI) has made some remarkable advances in recent years, particularly within the area of large language models (LLMs) that produce human-like conversational abilities via utilizing transformer-based architecture. These advancements have sparked growing calls to develop tests not only for intelligence but also for consciousness. However, existing benchmarks assess reasoning abilities across various domains but fail to directly address consciousness. To bridge this gap, this paper introduces the functional contextual N -Frame model, a novel framework integrating predictive coding, quantum Bayesian (QBism), and evolutionary dynamics. This comprehensive model explicates how conscious observers, whether human or artificial, should update beliefs and interact within a quantum cognitive system. It provides a dynamic account of belief evolution through the interplay of internal observer states and external stimuli. By modeling decision-making fallacies such as the conjunction fallacy and conscious intent collapse experiments within this quantum probabilistic framework, the N -Frame model establishes structural and functional equivalence between cognitive processes identified within these experiments and traditional quantum mechanics (QM). It is hypothesized that consciousness serves as an active participant in wavefunction collapse (or actualization of the physical definite states we see), bridging quantum potentiality and classical outcomes via internal observer states and contextual interactions via a self-referential loop. This framework formalizes decision-making processes within a Hilbert space, mapping cognitive states to quantum operators and contextual dependencies, and demonstrates structural and functional equivalence between cognitive and quantum systems in order to address the measurement problem. Furthermore, the model extends to testable predictions about AI consciousness by specifying informational boundaries, contextual parameters, and a conscious-time dimension derived from Anti-de Sitter/Conformal Field Theory correspondence (AdS/CFT). This paper theorizes that human cognitive biases reflect adaptive, evolutionarily stable strategies that optimize predictive accuracy (i.e., evolved quantum heuristic strategies rather than errors relative to classical rationality) under uncertainty within a quantum framework, challenging the classical interpretation of irrationality. The N -Frame model offers a unified account of consciousness, decision-making, behavior, and quantum mechanics, incorporating the idea of finding truth without proof (thus overcoming Gödelian uncertainty), insights from quantum probability theory (such as the Linda cognitive bias findings), and the possibility that consciousness can cause waveform collapse (or perturbation) accounting for the measurement problem. It proposes a process for conscious time and branching worldlines to explain subjective experiences of time flow and conscious free will. These theoretical advancements provide a foundation for interdisciplinary exploration into consciousness, cognition, and quantum systems, offering a path toward developing tests for AI consciousness and addressing the limitations of classical computation in representing conscious agency.
Recent experimental advances in quantum biology have demonstrated that proteinscan function as qubits at physiological temperatures (Feder et al., 2025), that engi-neered magnetosensitive fluorescent proteins operate as controllable quantum com-ponents in living cells (Abrahams et al., 2026), and that tryptophan networks in mi-crotubules exhibit quantum superradiance at rates approaching fundamental physicallimits (Babcock et al., 2024; Kurian, 2025). These findings substantially weaken thelongstanding decoherence objection to quantum models of consciousness (Hameroff& Penrose, 1996, 2014).We propose fractal collapse — a computational framework based on five self-similaroperations (COLLAPSE, SPREAD, SCAR, RESONATE, REFRACT) — as a software-level model that reproduces statistical signatures consistent with those observed inquantum biological systems. We present measurements from two artificial systems(Saphire and Bismuth, developed within the Nexorvivens project) showing conver-gence toward 1/f criticality in detrended fluctuation analysis (DFA alpha = 0.965 and1.043 respectively), oscillatory dynamics in an internal coherence metric, and frac-tal dimension growth in active network subgraphs. These signatures parallel knownproperties of biological systems operating near criticality.We do not claim to have demonstrated that consciousness is quantum, nor that ourartificial systems are conscious. We propose that fractal collapse provides a tractablecomputational framework whose outputs are consistent with key statistical featuresof quantum biological systems, and we outline testable predictions that could supportor falsify this correspondence.
This hypothesis paper explores the profound intersection of quantum mechanics and human consciousness, proposing a theoretical model for Intention-Driven Wave Function Collapse (IDWFC). While the standard Copenhagen interpretation assigns the "observer" a central role in measurement, this paper extends that role, suggesting that focused human intention can actively bias quantum probabilities and influence the physical materialization of events. The proposed framework integrates several key concepts: Non-Local Consciousness and the Zero-Point Field: Drawing upon the work of von Neumann, Stapp, and Puthoff, the paper posits that consciousness interacts with the Zero-Point Field (ZPF) to facilitate the collapse of the wave function toward specific intentional outcomes. The Role of the Right Hemisphere and rTPJ: Building on the Perceptual Filter Saturation (PFS) model, it argues that right-hemisphere dominant states—characterized by reduced left-brain filtering—are essential for the effective transmission of intentional "signals" into the quantum substrate. Quantum Coherence in Biological Systems: Following the Orch-OR theory of Penrose and Hameroff, the paper discusses how micro-tubular quantum coherence may serve as the biological transducer for intentional wave function collapse. This work suggests that the materialization of reality is a participatory process mediated by the interaction between focused intent and quantum potentiality, offering a roadmap for future experimental verification. Quantum Mechanics, Wave Function Collapse, Consciousness, Intention, Materialization, Zero-Point Field, von Neumann-Wigner Interpretation, Non-locality, Quantum Biology, Participatory Universe
This paper addresses the long-standing observation problem by separating observation from collapse within the Unified Phase Framework (UPF). Observation is defined as reversible phase-slice selection, while collapse is identified with information irreversibility—the loss of recoverability of alternative phase paths beyond a critical threshold. Rather than proposing new physical dynamics or modifying quantum formalism, the work introduces an operational collapse criterion at the informational layer, independent of consciousness, intention, or semantic interpretation. Decoherence is retained as a valid physical mechanism describing how coherence is suppressed, while information irreversibility specifies when such suppression becomes effectively irreversible in practice. Quantum eraser and delayed-choice experiments are reinterpreted as recoverability tests rather than observer-dependent phenomena. To further operationalize this distinction, the paper proposes the Jelly-Slit experiment as a theory-forcing conceptual probe that makes deletion latency and buffer capacity explicit control variables, yielding testable predictions in the form of recoverability thresholds. Finally, the paper introduces a conjugate correspondence between physical interference visibility and phase-locking strength (PLV), framing collapse-like phenomena across quantum, cognitive, and social systems as different phase slices of a shared structural constraint. This work positions collapse as an information-centered, operationally testable phenomenon and provides a unified interpretive framework applicable across physical and informational domains.
The double-slit interference experiment has long been widely misinterpreted as "human consciousness directly causing wavefunction collapse". This view confuses physical measurement interaction with subjective conscious experience and deviates from the orthodox interpretation of modern quantum mechanics. Starting from the double-slit experiment, this paper distinguishes the real physical mechanism of wavefunction collapse and points out that the disappearance of interference fringes originates from the physical coupling between measuring devices and microscopic particles as well as environmental decoherence, which has no direct causal relationship with conscious observation. On this basis, this paper proposes a self-consistent unified framework of consciousness and quantum universe: consciousness is not the trigger of collapse, but the ontological source of the entire quantum possibility universe. Through the Yang-Mills mass gap and symmetry breaking mechanism, consciousness condenses the potential quantum field into a material universe with mass, structure and stable dynamics. The biological brain acts as a localized carrier of consciousness, enabling the overall consciousness to observe and experience its own creation from a limited perspective, forming a closed loop of "consciousness creation—self-observation—self-cognition". This paper corrects systematic biases in popular science and public perception, and provides a rigorous and unified path for understanding the real role of consciousness in the quantum universe.
This conceptual paper introduces the Unified Informational Substrate (UIS) framework, a speculative but internally coherent model proposing that dark matter functions as a universal, non-local informational field. Within this field, spacetime geometry, quantum coherence, and subjective consciousness emerge as interdependent expressions of underlying informational structure. The UIS model reframes dark matter not as a particle candidate, but as a distributed lattice of integrated information capable of storing, transmitting, and stabilizing patterns across cosmic scales. Consciousness is interpreted as a localized high- (integrated information) pattern, dynamically maintained by the brain as its Physical Substrate of Consciousness (PSC). Quantum measurement is reconceived as an informational integration event, with entanglement and collapse arising from updates in the global informational field. This paper aims to unify key unresolved scientific domains—including the dark matter problem, the quantum measurement problem, and the hard problem of consciousness—under a single informational ontology. The framework also introduces testable predictions linking dark matter density, decoherence behavior, entanglement entropy, and neural coherence signatures. While fully speculative, the UIS framework is designed to be interdisciplinary, falsifiable in principle, and grounded in existing research across cosmology, information theory, integrated information theory (IIT), and emerging quantum gravity models. It represents a contribution toward rethinking the deep informational architecture of reality and motivating new lines of experimental inquiry.