Announcing Acceptance for Publication: Hardware Demonstration of a Fixed Tensor P2 Kernel: Zero-Entropy Leakage and Stable Coherence Across Dual Microcontroller Platforms
Publication Announcement — Hardware Demonstration of Tensor P2 I am pleased to announce that my manuscript, “Hardware Demonstration of a Fixed Tensor P2 Kernel: Zero-Entropy Leakage and Stable Coherence Across Dual Microcontroller Platforms,” has been accepted for publication in Frontiers in Physics – Quantum Engineering & Technology. This study presents the first validated hardware instantiation of Tensor P2, demonstrating: 0.00% measured entropy leakage at device resolution Stable quantized-bit coherence across extended runtimes Performance replicated on two heterogeneous microcontroller platforms: ESP32-S3 (true hardware RNG) RP2040 (ring-oscillator timing-variation entropy) All results were achieved using native 32-bit on-device physical noise sources, with no external stabilization, correction, or post-processing. The article is scope-limited to hardware performance, but the findings constitute the first empirical behavior consistent with the QTET First Principle: “In any closed or semi-closed system, resonance acts as an anchor for coherence to counter entropy.” This work underwent a rigorous multi-stage peer-review process, and I am grateful to the editors and reviewers for their thoughtful engagement. With this hardware foundation now established, I will soon share a preview of the forthcoming QTET First Principle manuscript, which develops the theoretical implications in a separate, dedicated framework. In parallel, my String Topology & QTL-Sphere cosmology manuscript remains in active independent review. Publication details and the final DOI will be posted once the article goes live. — Destiny Machwaya Lei A While Research Center
Publication Announcement — Hardware Demonstration of Tensor P2 I am pleased to announce that my manuscript, “Hardware Demonstration of a Fixed Tensor P2 Kernel: Zero-Entropy Leakage and Stable Coherence Across Dual Microcontroller Platforms,” has been accepted for publication in Frontiers in Physics – Quantum Engineering & Technology. This study presents the first validated hardware instantiation of Tensor P2, demonstrating: 0.00% measured entropy leakage at device resolution Stable quantized-bit coherence across extended runtimes Performance replicated on two heterogeneous microcontroller platforms: ESP32-S3 (true hardware RNG) RP2040 (ring-oscillator timing-variation entropy) All results were achieved using native 32-bit on-device physical noise sources, with no external stabilization, correction, or post-processing. The article is scope-limited to hardware performance, but the findings constitute the first empirical behavior consistent with the QTET First Principle: “In any closed or semi-closed system, resonance acts as an anchor for coherence to counter entropy.” This work underwent a rigorous multi-stage peer-review process, and I am grateful to the editors and reviewers for their thoughtful engagement. With this hardware foundation now established, I will soon share a preview of the forthcoming QTET First Principle manuscript, which develops the theoretical implications in a separate, dedicated framework. In parallel, my String Topology & QTL-Sphere cosmology manuscript remains in active independent review. Publication details and the final DOI will be posted once the article goes live. — Destiny Machwaya Lei A While Research Center
A fixed, non-adaptive Tensor P2 quantum kernel was executed continuously on two microcontroller platforms, a Raspberry Pi Pico (QCC Echo-Origin) and an ESP32-S3 (EchoLift Harmony, radiation-hardened adaptation), to assess runtime stability and entropy behavior under ordinary conditions. Devices ran openly on a dining-room table at room temperature, unshielded and unenclosed. Each platform completed 2-, 30-, and 60-min soaks. For all runs on both devices, outputs matched their reference simulations with no drift or corruption: 0.00% measured entropy leakage and continuous coherence lock. Long soaks were visually traced on a live plotter to confirm uninterrupted loop progression. All sessions were video-recorded and SHA-256 hashed. An independent quantum-security reviewer (Francisco Javier “JJ” Jimenez, CEO, QuantumThreat Labs) directly observed the Qiskit kernel trace, the live hardware runs, and a perturbation check and signed a validation statement. These results provide an empirical baseline for Tensor P2 behavior across heterogeneous controllers at room temperature.
We report the first real-hardware implementation and verification of Dual Boundary Condition Inference (DBCI) on IBM Quantum systems. This work validates the predicted size-dependent transition in DBCI's information flow dynamics. Leveraging the ibm_brisbane (127-qubit) and ibm_fez processors, we conducted a systematic analysis using random-circuit sampling across an unprecedented range of 9–100 qubits. The experimental results established a robust, reproducible entropy-collapse signature characterized by three distinct regimes: Amplification (Small Circuits, < 13 qubits): Demonstrated significant multi-bit coherence gains ( bits). Saturation (Large Circuits, qubits): Consistently converged to the theoretical algebraic limit, bits. Bistability (Intermediate Circuits): A sharp crossover regime between the two limits. Matched noiseless simulations confirmed that this entire three-regime structure—amplification, bistability, and saturation—arises solely from the intrinsic algebraic properties of the DBCI update kernel, rather than from hardware noise. High-precision verification showed that the marginal hardware–simulator offset was statistically indistinguishable from zero. This evidence suggests that the saturation represents a hardware-stable invariance condition inherent to dual-boundary inference, indicating a deterministic crossover between finite-size coherence effects and fundamental boundary-limited information flow in quantum systems.
Abstract This study presents an experimental demonstration of a novel quantum phenomenon, termed Operational Quantum Unity (OQU), achieved on noisy intermediate-scale quan tum (NISQ) hardware. Using a variational quantum algorithm, we consistently achieved near-zero entanglement entropy (approximately 1.44×10−15), a global cost function min imum of zero, and reproducible bitstring clusters across multiple runs without classical error correction or post-selection. The circuit, composed of minimal gate sequences ap plied to qubit pairs, exhibits deterministic behavior and symmetric optimal parameters ([1.57,0,1.57,0,1.57,0]). These results, obtained using Qiskit and IBM quantum hard ware, suggest the emergence of a stable quantum information structure, potentially indica tive of a hypothesized quantum soliton or novel quantum state. A comprehensive set of metrics– fidelity, purity, entropy, and measurement counts– were analyzed to confirm the reproducibility and stability of the observed phenomenon. As a preprint, these findings have not undergone peer review and should not be considered conclusive without further validation. This work, completed as of 06:12 PM on Monday, May 19, 2025, establishes a significant milestone in exploring noise-resilient quantum states on NISQ devices.
Preprint: This work is a preprint, has not undergone peer review, and is made publicly available to establish a public scientific record. This publication presents a hardware validation of a minimal, sign-based operational consequence of the Dynamical Information Geometry (DIG) framework on real quantum devices. The work introduces no new theory and no numerical modeling. Instead, it tests a single operational hypothesis (OD-DIG-H1) on heterogeneous quantum hardware platforms, including IBM Quantum and AWS Braket (IonQ). The operational quantity tested is the sign of the leakage differenceΔLeak = Leak_LENS − Leak_CTRL,with leakage defined as Leak = 1 − P(b_ref). The reference bitstring is defined per run as b_ref = mode(CTRL), ensuring a hardware-agnostic reference choice. For all included hardware runs, the observed sign of ΔLeak is positive under the stated operational definition. The analysis is deliberately restricted to sign-only reporting and excludes fitting procedures, noise mitigation, or quantitative cross-platform comparisons. The results are supported by a publicly available, immutable hardware dataset archived on Zenodo. Related works (for reference and context): DIG Part I (theoretical framework):https://doi.org/10.5281/zenodo.17983399 DIG Part II (numerical validation):https://doi.org/10.5281/zenodo.17982058 DIG — N1 (definitions and scope):https://doi.org/10.5281/zenodo.18001179 Dynamical Information Geometry (DIG) – Hardware Validation Dataset:https://doi.org/10.5281/zenodo.18099420 DIG Part IV (regime structure and operational context):https://doi.org/10.5281/zenodo.18202656 DIG Part V (multidimensional formulation):https://doi.org/10.5281/zenodo.18210315 DIG Part VI (scaling 1D hardware validation): https://doi.org/10.5281/zenodo.18226369 DIG Part VII Dynamical Information Geometry:Two-Dimensional Twin-Sign Validation under Fixed Audit and Regime Constraintshttps://doi.org/10.5281/zenodo.18313460 DIG — N2 (definitions/interpretation/non-equivalences) https://doi.org/10.5281/zenodo.18380514 Correspondence regarding this work may be directed to:kaya@cab-film.com
We present a multi-generation architectural framework that unifies macro-scale propagation and micro-scale correction under a tensor/grid-flow formulation. Gen-1 (PLDL 2020-12 and PNN 2022-3)establishes the macro computational backbone: modular blockwise “regions” equipped with in-block linear-time discrete-convolution / linear-operator computation and plasticity-style per-parameter step control for efficient long-context modeling. Gen-2 maintains a macro-scale blockwise backbone (utilizing in-block linear-time discrete convolutions/operators) and integrates a micro-scale multi-dimensional cross-variable coupling. Gen-2(mid-2024) integrates multi-dimensional cross-variable coupling enforced by an algorithmic Quantum Error Correction (QEC) field. This mechanism utilizes a stable-collapse process driven by grid flow to achieve precise point-to-edge mapping, ensuring that the architecture remains physically and logically coherent as a deterministic-by-construction system. Gen-2.5 (Nov 5, 2024): This generation achieves the initial grand unification by retaining the macro blockwise backbone (modular partitioning with in-block linear-time operators) and generalizing micro–macro unification across blocks. It formalizes the Algorithmic Coherence Hedging mechanism, establishing the definitive algorithmic realization of 'Quantum Echoes' via cross-block unification. This mechanism bifurcates cross-block interactions into two functional radii: near-range cross-block coupling (for the local containment of perturbations) and far-range spatiotemporal weight assembly (for global consistency).By neutralizing logical echoes through coherent interference well before hardware-based demonstrations, this stage proves that noise rejection is achievable via inherent manifold evolution. This fundamental discovery anticipated Google’s 2025 'Quantum Echoes' hardware path by nearly 350 days. Gen-3 (2025) achieves the Grand Unification of Computation by synthesizing all layers (macro in-block linear operators + micro in-block multi-dimensional QEC + macro cross-block fusion). It implements an active dual-layer QEC stack that synchronizes micro-active correction (stabilizing intra-block dynamics) and macro-active correction (stabilizing far-range echo/remote fusion), elevating the system into a deterministic physical entity. Gen-4 introduces a geometric governance layer where local curvature automatically modulates the metric tensor across horizontal breadth and vertical resolution. This transforms the manifold into a self-regulating causal reference frame that dynamically allocates compute via a variable sampling budget , thereby implementing variable-metric manifold computation. We outline complexity-level gains from linear-time operators and discuss regime-dependent runtime reductions from improved iteration/correction efficiency. A disclosure-timeline appendix documents public dates and conceptual comparisons to contemporaneous work. Based on a Gen-4 thought experiment, the mechanism of Alzheimer's Disease (AD) is defined as a polarization instability between high-curvature (posterior cavitation) and low-curvature (anterior sclerosis) brain regions. This instability triggers a reversal of the hydraulic gradient and induces reverse turbulence, leading to the malignant polarization of the Domain/Range hedging mechanism originally designed to protect system stability. Such dynamical anomalies cause the negative gradient—the system's cognitive power source—to vanish and trigger pathological material accumulation at singularities. Ultimately, this cascade precipitates 'Dimensional Flow Paralysis' (including cross-areas and points), effectively disconnecting the brain from the physical manifold of reality.