This repository contains the foundational technical framework for the B³D-HPA (3D Body-High 6. . . ) computing paradigm. The documentation is organized into three distinct technical dossiers, providing a closed-loop architectural reference for photonic computing: B³D-HPA Architecture Paradigm: A foundational paper detailing the structural design and logical basis of the Synthetic Quartz-Array Photonic Computing Chip. PDMM Instruction Set: A technical specification of the High-Dimensional Orthogonal Dual-Mode Instruction Set, defining the operational logic for the B³D-HPA framework. Experimental Guidelines: A strategic guide outlining preliminary experimental methodologies, verification protocols, and environmental considerations for initial feasibility studies. This record contains the complete foundational documentation for the B³D-HPA (3D Body-High 6 Architecture) photonic computing framework. B³D-HPA Continu3. 55. pdf: The primary architectural whitepaper detailing the dual-modality (deterministic/non-deterministic) framework, GPA (Geometric Polarization Arithmetic) logic, and the PIC (Physical Instruction Compiler) workflow. PDMMPhysical1. 3. pdf: The technical specification of the PDMM P-ISA (Physical Dual-Modality Mapping Instruction Set), detailing the instruction encoding, Jones Vector projection mappings, and physical-layer control parameters for hardware implementation. These documents together define the unified logic-to-physics compilation path for post-von Neumann photonic systems. This architecture assumes an ideal or high-precision stabilized environment for physical deployment. Real-world performance degradation due to thermal drift or noise-floor fluctuations is attributed to hardware realization and material constraints, distinct from the logical integrity of the B³D-HPA framework. This work presents the integration of B³D-HPA V3. 55, a continuous-wave photonic computing architecture based on physical hash addressing, with the PDMM Physical Dual-Modality Mapping Instruction Set (P-ISA) V1. 3, a unified deterministic-chaotic programming framework for 3D photonic media. The B³D-HPA architecture eliminates the fragility of global phase locking by strictly decoupling computation into two orthogonal domains: deterministic arithmetic operations are implemented via geometric polarization arithmetic and thulium ion energy-level logic, while controlled phase evolution is reserved for probabilistic AI regularization. Verified in V3. 55, the natural spatiotemporal orthogonality between thulium ion topological noise (S-Noise) and photodetector noise (P-Noise enables native physical-layer noise filtering without complex digital algorithms. PDMM P-ISA V1. 3 provides a physical-layer instruction model that directly maps high-level programs and tensor operations to light-matter interactions. Using wavelength-as-instruction addressing, it defines a deterministic skeleton based on intensity and energy-level states, and a chaotic semantic flow based on bounded fuzzy phase distributions, forming a unified instruction space compatible with large language models and deep neural networks. Together, B³D-HPA V3. 55 and PDMM P-ISA V1. 3 form a closed-loop, EDA-compatible photonic computing system, delivering orders-of-magnitude lower energy consumption than silicon-based arithmetic units, while providing a practical, mass-producible path for industrial-grade continuous-wave optical computing and embodied AI evolution. Technical info (English) Title: B³D-HPA: A High-Dimensional Orthogonal Information Dual-Modality Instruction Set Architecture (v3. 55) Abstract: This document introduces version 3. 55 of the B³D-HPA (3D Body-High Performance Architecture), a novel photonic computing framework designed to overcome the memory wall through a physical-layer integration of deterministic and non-deterministic computing modalities. This version formally defines the PDMM (Physical Dual-Modality Mapping) instruction set, utilizing Geometric Polarization Arithmetic (GPA) to enable thermal-drift-immune deterministic computing. The architecture establishes the PIC (Physical Instruction Compiler) workflow, bridging high-level logical intent with 3D light-wavefield topology. Key Innovations: - Geometric Polarization Arithmetic (GPA): A deterministic intensity-based arithmetic framework utilizing Jones Vector projection, fundamentally decoupling logic from phase-locking sensitivity. - Dual-Modality Mapping (PDMM): Integration of incoherent deterministic computing and coherent non-deterministic modality for high-dimensional tensor mapping. - Hardware Vision: Defines the requirement for a rotation-geometry polarization-modulated SLM, establishing a technical roadmap for future photonic hardware developers. Technical Reference: Architecture Class: Post-von Neumann / Photonic Tensor Mapping Primary Control Parameter: Δθpol (Geometric Polarization Angle)
Building similarity graph...
Analyzing shared references across papers
Loading...
Xiangning Chen
Building similarity graph...
Analyzing shared references across papers
Loading...
Xiangning Chen (Tue,) studied this question.
synapsesocial.com/papers/69f1a08eedf4b468248071c0 — DOI: https://doi.org/10.5281/zenodo.19816319