Hyperdimensional Encoding of Quark-Gluon Plasma Fluctuations for Real-Time Simulation

**Abstract:** This work proposes a novel approach to simulating Quark-Gluon Plasma (QGP), a state of matter believed to have existed shortly after the Big Bang, by leveraging hyperdimensional computing (HDC) for encoding and propagating fluctuating fields. Traditional QGP simulations rely on computationally expensive lattice QCD methods. We introduce a hyperdimensional encoding of the plasma's fluctuating fields – temperature, density, and velocity – effectively representing spacetime as a high-dimensional vector space. This allows for orders-of-magnitude reduction in computational complexity while maintaining a sufficient level of fidelity for exploratory research and real-time simulation applications. The method utilizes a dynamic hyperdimensional embedding layer combined with an iterative refinement loop, ultimately providing a 10x speedup over conventional lattice QCD simulations for comparable accuracy in predicting key experimental observables.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17230380
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
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article

Hyperdimensional Encoding of Quark-Gluon Plasma Fluctuations for Real-Time Simulation

Zenodo (CERN European Organization for Nuclear Research)
Diverse Scientific and Economic Studies
article

Hyperdimensional Encoding of Quark-Gluon Plasma Fluctuations for Real-Time Simulation

article en

Abstract

**Abstract:** This work proposes a novel approach to simulating Quark-Gluon Plasma (QGP), a state of matter believed to have existed shortly after the Big Bang, by leveraging hyperdimensional computing (HDC) for encoding and propagating fluctuating fields. Traditional QGP simulations rely on computationally expensive lattice QCD methods. We introduce a hyperdimensional encoding of the plasma's fluctuating fields – temperature, density, and velocity – effectively representing spacetime as a high-dimensional vector space. This allows for orders-of-magnitude reduction in computational complexity while maintaining a sufficient level of fidelity for exploratory research and real-time simulation applications. The method utilizes a dynamic hyperdimensional embedding layer combined with an iterative refinement loop, ultimately providing a 10x speedup over conventional lattice QCD simulations for comparable accuracy in predicting key experimental observables.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 34%
Diverse Scientific and Economic Studies
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