openQL / openOL: Tensor Matrix Architecture for Unified Simulation of Physical Fields in 12D and 112D via GPU Tensor Cores

This document presents a theoretical and software-architectural proposal for a novel application programming interface (API) named openQL (designed for 12D macroscopic physics) and its fully expanded version, openOL (for the 112D quantum and molecular level). The architecture proposes abandoning traditional polygon geometry, as represented in OpenGL/Vulkan, and replacing it with a continuous multidimensional tensor field. By transforming quaternion and octonion algebra into unified block matrices, the complete computation of physical interactions (electromagnetism, thermodynamics, crystallography) is shifted to the hardware Tensor Cores of modern accelerators. The result is an asynchronous computational pipeline with zero-branching, opening the path to absolute real-time matter synthesis for industrial design, game engines, and materials engineering.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-03
DOI
https://doi.org/10.5281/zenodo.23112559
Primary Topic
Model Reduction and Neural Networks
Type
preprint
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preprint

openQL / openOL: Tensor Matrix Architecture for Unified Simulation of Physical Fields in 12D and 112D via GPU Tensor Cores

Michal Mazgal
Zenodo (CERN European Organization for Nuclear Research)
Model Reduction and Neural Networks
preprint

openQL / openOL: Tensor Matrix Architecture for Unified Simulation of Physical Fields in 12D and 112D via GPU Tensor Cores

Michal Mazgal
preprint en

Abstract

This document presents a theoretical and software-architectural proposal for a novel application programming interface (API) named openQL (designed for 12D macroscopic physics) and its fully expanded version, openOL (for the 112D quantum and molecular level). The architecture proposes abandoning traditional polygon geometry, as represented in OpenGL/Vulkan, and replacing it with a continuous multidimensional tensor field. By transforming quaternion and octonion algebra into unified block matrices, the complete computation of physical interactions (electromagnetism, thermodynamics, crystallography) is shifted to the hardware Tensor Cores of modern accelerators. The result is an asynchronous computational pipeline with zero-branching, opening the path to absolute real-time matter synthesis for industrial design, game engines, and materials engineering.

Zenodo (CERN European Organization for Nuclear Research)
Model Reduction and Neural Networks
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