A Continuous-Field Photonic Chip Architecture: 3D In-Memory Computing with Dynamic Weight Modulation via PHAT B³D-HPA Architecture & PDMM Instruction Set Specification (v3.54 & v1.3)

April 23, 2026Open Access

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Key Points

This work aims to outline the B³D-HPA photonic computing framework and its integration with the PDMM instruction set for improved computational versatility.
Detailed architectural whitepaper outlining dual-modality framework and arithmetic logic.
Technical specifications of the PDMM instruction set for hardware implementation.
Integration of geometric polarization arithmetic with probabilistic AI mechanisms.
Achieved significant energy reduction compared to silicon-based systems, enhancing efficiency.
Established effective physical-layer noise filtering utilizing the natural characteristics of thulium ion noise.
Provided a unified instruction space that supports advanced deep learning models.

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This documentation details a photonic computing framework that enhances computing efficiency and reduces energy consumption in advanced applications.

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Xiangning Chen (2026) studied this question.

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