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Published April 27, 2026 | Version 3.55
Preprint Open

A Continuous-Field Photonic Chip Architecture: 3D In-Memory Computing with Dynamic Weight Modulation via PHAT B³D-HPA Architecture & PDMM Instruction Set Specification (v3.55 & v1.3)

Authors/Creators

Description

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. PDMM_Physical1.3.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)

Files

B³D-HPA Continu3.55.pdf

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Additional details

Additional titles

Alternative title (English)
The Return of Materials and Optics: Defining the Era of Silica-based Computing (GBFCS / B³D-HPA V3.54)The Return of Materials and Optics: Defining the Era of Silica-based Computing (GBFCS / B³D-HPA V3.54)

Dates

Accepted
2026-04-07
B3D-HPA, GBFCS, SugarCube, Photonic Computing, Hardware Safety, 30ps Constraint, Post-Moore AI, Optical Transformer