Technical White Paper v1.5 | Document ID: QN-RP-2026-V1.5 Affiliation: QuantNature Global (https://www.quantnature.com)Release Date: September 11, 2026 Executive Summary This white paper presents the Resonance Plexus (RP v1.5), a novel non-symbolic physical intelligence framework designed to overcome the structural brittleness of classical symbolic logic and the severe computational latency of generative foundation models (VLA/LLM) in autonomous robotic control. Grounded in the paradigm of Sovereign Physical Intelligence (SPI), the architecture transmutes multi-modal sensory stimuli into a dual-manifold physical computing fabric—an encapsulated 10,240-node (128 × 80) 2D Retinotopic Cortex coupled with a circumferential 360-node Somatosensory Lateral Ring. The platform navigates open dynamic environments through continuous field energy minimization (−∇E) rather than probabilistic tokenized inference or discrete "If-Else" decision trees. Core Architectural Pillars (RP v1.5) Dual-Manifold Non-Symbolic Exteroception: Integrates a 10,240-node focal visual cortex utilizing Multiplicative Coupling ((1 − I)1.5 × Pdepth) to preserve razor-sharp physical contours of matte-black and infrared-absorbing obstacles without spatial blurring, united with a 360-node polar somatosensory ring (planar LiDAR) functioning as an extended spatial skin (analogous to the teleost lateral line system) that outputs an immediate 2D lateral ejection vector (Flateral). Autonomic Interoception & Basal Pacemaker: A native physiological engine synthesizing real-time battery voltage (metabolic potential), operating system loop timing jitter (Heart Rate Variability, HRV), and IMU micro-vibrations (somatic tremor) into a continuous cardiac carrier wave (55–115 BPM). Acute threats trigger sympathetic adrenaline surges within 500 ms, followed by biologically grounded exponential half-life decay (τ ≈ 5–8 s). Hierarchical Triad Recursive Governance: A multi-tiered cross-coupling loop across Brain A (10K instinctual wave mesh), Brain B (128-node horizontal affective resonator via non-linear spatial pooling PR→B), and Brain C (64-node executive governor) enforcing dynamic compliance and inhibitory dissonance under high-stress shock. Temporal Trauma Integration & Instantaneous Purge: Formulation of the continuous Stress Reservoir (D) for temporal entropy summation, paired with the Trauma Purge operator (P̂) that evacuates initialization boot-up noise upon cognitive awakening (t ≈ 4.0 s). Antifragile Langevin Annealing: Stress-induced parametric liquefaction (H ∝ S1.5) modeled via stochastic Langevin dynamics, dynamically exploring parameter spaces under chaos while crystallizing back toward invariant, hardware-grounded genetic attractors (Θ0). Empirical Edge Hardware Validation Full-stack physical telemetry executed on embedded edge hardware demonstrates: Sub-Millisecond Kernel Latency: Proprietary kernel executes complete 10,240-node 2D complex wave updates in 0.53 ms. Ultra-Deterministic Sensory-Motor Loop: Full multi-modal closed loop (10K visual cortex + 360° LiDAR skin + Pacemaker + Inertial Controller) executes at 7.94 ms (>125 Hz). Zero Model Weights: Operates natively with 0 MB neural network weights (zero pre-trained tensors, zero hallucinations). Biological-Grade Kinetic Flow: Zero limit-cycle chattering (0 Hz) during acute close-proximity shocks, executing a fluid monotonic Inertial S-Curve momentum profile. Notice: This white paper is published under CC BY 4.0. The license applies solely to the published text, mathematical models, and telemetry data, and does not grant rights to any underlying proprietary RTL/HLS source code, compiled bitstreams, or silicon implementations.
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QuantNature Technical White Paper (Document ID: QN-UARI-2026-V2.0) Title Universal Acoustic Resonance Imaging (UARI v2.0): Real-Time Multi-Target Soliton Discrimination and In-Situ Near-Field Ego-Noise Nulling across Sub-Wavelength Arrays Author: QuantNature Global (https://www.quantnature.com)Release Date: September 9, 2026Document Version: v2.0 (In-Situ Ego-Noise Nulling, 3-Zone Stratified Continuum & Real-Time 38.4 FPS Fire-Control Milestone) Executive Summary & Abstract Conventional acoustic phased arrays and industrial sonic cameras constrained by compact sub-wavelength apertures (D ≤ 71 mm, where D < λ) suffer from catastrophic diffraction beam broadening (θ ≥ 70°) and are rendered blind by overwhelming multi-rotor propulsion noise (SPL ≥ 88 dB at r ≤ 0.20 m). Consequently, closely spaced airborne threats and host platform self-propulsion noise coalesce into unresolved, saturating energy clouds under linear Delay-and-Sum (DAS) beamforming, while classical Active Noise Cancellation (FxLMS) and adaptive nulling (MVDR) fundamentally fail due to near-field spherical wavefront curvature singularities and ESC motor rotational flutter. This technical white paper formalizes Universal Acoustic Resonance Imaging v2.0 (UARI v2.0), a closed-loop physical-layer computing framework integrating: (1) near-field radial ego-noise annihilation (r ≤ 0.20 m 4th-order Super-Gaussian barrier, Wego), (2) a 3-zone stratified physical continuum across the 100,000-node Resonance Processing Unit (RPU), and (3) zero-disk direct memory DMA streaming (τDMA ≤ 0.05 ms). Governing declarative potential landscapes (Vbias) through non-linear substrate relaxation, broad acoustic wavefronts autonomously bifurcate into discrete, localized ground-state solitons (Emin) while transient acoustic chatter and multi-path reflections are naturally dissipated. Key Empirical Outcomes & Hardware Benchmarks (v2.0 Milestone) Evaluated via live benchtop characterizations on a 7-element MEMS phased array (D = 71 mm): In-Situ 20 cm Near-Field Ego-Noise Annihilation: Complete physical suppression of the host drone's 88 dB propulsion roar inside the r ≤ 0.20 m perimeter. Live knife-edge testing (r = 24.1 cm) confirms authentic crescent-shaped physical boundary diffraction rather than superficial rectangular display masking. Super-Resolution Multi-Well Soliton Bifurcation: Transformation of merged linear acoustic clouds into double-well potential manifolds via supercritical pitchfork bifurcation. Live dual-emitter testing successfully resolves uncoupled sources separated by 68.0 cm with 98.0% geometric fidelity (Δrresolved = 69.4 cm, spatial error < 28 mm) on a sub-wavelength 71 mm aperture. Deterministic 38.40 FPS Fire-Control Throughput: Complete physical-layer re-engineering—eliminating disk I/O via zero-disk direct DMA registers, halving hardware ring buffer latency (1,024 samples / 21.33 ms), and streamlining relaxation epochs—compressed end-to-end loop latency from 127.98 ms (v1.5) down to 25.80 ms (38.40 FPS) on a standard NVIDIA GeForce GTX 1070 GPU (4.96× speedup). Tactical Kinetic Kinematic Closure: At a 20 m/s closing intercept velocity, sensor-to-fire-control kinematic lag displacement is reduced from 2.56 m to merely 0.51 m, falling well within the physical blast radius of autonomous Counter-UAS hunter-drone interceptors. Temporal Persistence Resonance Sifting (Zone 3): Continuous dissipative leaky-integrator (αdecay = 0.68, βbuildup = 0.45) routing that eliminates non-periodic environmental shocks (speech, coughing, mechanical impacts) within ≤ 40–60 ms, preventing false-alarm reticle divergence. Zero-Data Semantic Acoustic DNA Sifting: 100.0% confidence automated threat classification (Kamikaze FPV vs. Heavy Strike UAV vs. Stealth Recon) derived purely from 1:2.00 Blade Passing Frequency (BPF) integer harmonic symmetry, without requiring offline neural network training. Published by QuantNature Global. All intellectual property, mathematical derivations, and RPU physical continuum frameworks formalized under Technical White Paper Document ID: QN-UARI-2026-V2.0.
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QuantNature Technical White Paper (Document ID: QN-UARI-2026-V2.0) Title Universal Acoustic Resonance Imaging (UARI v2.0): Real-Time Multi-Target Soliton Discrimination and In-Situ Near-Field Ego-Noise Nulling across Sub-Wavelength Arrays Author: QuantNature Global (https://www.quantnature.com)Release Date: September 9, 2026Document Version: v2.0 (In-Situ Ego-Noise Nulling, 3-Zone Stratified Continuum & Real-Time 38.4 FPS Fire-Control Milestone) Executive Summary & Abstract Conventional acoustic phased arrays and industrial sonic cameras constrained by compact sub-wavelength apertures (D ≤ 71 mm, where D < λ) suffer from catastrophic diffraction beam broadening (θ ≥ 70°) and are rendered blind by overwhelming multi-rotor propulsion noise (SPL ≥ 88 dB at r ≤ 0.20 m). Consequently, closely spaced airborne threats and host platform self-propulsion noise coalesce into unresolved, saturating energy clouds under linear Delay-and-Sum (DAS) beamforming, while classical Active Noise Cancellation (FxLMS) and adaptive nulling (MVDR) fundamentally fail due to near-field spherical wavefront curvature singularities and ESC motor rotational flutter. This technical white paper formalizes Universal Acoustic Resonance Imaging v2.0 (UARI v2.0), a closed-loop physical-layer computing framework integrating: (1) near-field radial ego-noise annihilation (r ≤ 0.20 m 4th-order Super-Gaussian barrier, Wego), (2) a 3-zone stratified physical continuum across the 100,000-node Resonance Processing Unit (RPU), and (3) zero-disk direct memory DMA streaming (τDMA ≤ 0.05 ms). Governing declarative potential landscapes (Vbias) through non-linear substrate relaxation, broad acoustic wavefronts autonomously bifurcate into discrete, localized ground-state solitons (Emin) while transient acoustic chatter and multi-path reflections are naturally dissipated. Key Empirical Outcomes & Hardware Benchmarks (v2.0 Milestone) Evaluated via live benchtop characterizations on a 7-element MEMS phased array (D = 71 mm): In-Situ 20 cm Near-Field Ego-Noise Annihilation: Complete physical suppression of the host drone's 88 dB propulsion roar inside the r ≤ 0.20 m perimeter. Live knife-edge testing (r = 24.1 cm) confirms authentic crescent-shaped physical boundary diffraction rather than superficial rectangular display masking. Super-Resolution Multi-Well Soliton Bifurcation: Transformation of merged linear acoustic clouds into double-well potential manifolds via supercritical pitchfork bifurcation. Live dual-emitter testing successfully resolves uncoupled sources separated by 68.0 cm with 98.0% geometric fidelity (Δrresolved = 69.4 cm, spatial error < 28 mm) on a sub-wavelength 71 mm aperture. Deterministic 38.40 FPS Fire-Control Throughput: Complete physical-layer re-engineering—eliminating disk I/O via zero-disk direct DMA registers, halving hardware ring buffer latency (1,024 samples / 21.33 ms), and streamlining relaxation epochs—compressed end-to-end loop latency from 127.98 ms (v1.5) down to 25.80 ms (38.40 FPS) on a standard NVIDIA GeForce GTX 1070 GPU (4.96× speedup). Tactical Kinetic Kinematic Closure: At a 20 m/s closing intercept velocity, sensor-to-fire-control kinematic lag displacement is reduced from 2.56 m to merely 0.51 m, falling well within the physical blast radius of autonomous Counter-UAS hunter-drone interceptors. Temporal Persistence Resonance Sifting (Zone 3): Continuous dissipative leaky-integrator (αdecay = 0.68, βbuildup = 0.45) routing that eliminates non-periodic environmental shocks (speech, coughing, mechanical impacts) within ≤ 40–60 ms, preventing false-alarm reticle divergence. Zero-Data Semantic Acoustic DNA Sifting: 100.0% confidence automated threat classification (Kamikaze FPV vs. Heavy Strike UAV vs. Stealth Recon) derived purely from 1:2.00 Blade Passing Frequency (BPF) integer harmonic symmetry, without requiring offline neural network training. Published by QuantNature Global. All intellectual property, mathematical derivations, and RPU physical continuum frameworks formalized under Technical White Paper Document ID: QN-UARI-2026-V2.0.
QuantNature Global· Zenodo (CERN European Organi...· 0 citations
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