Computational Physics
HolonomiX began as a breakthrough in structural representation for computational physics. The same mathematics that compresses enterprise data also represents 6D phase-space distributions. Plasma kinetic simulations that require petascale resources on dense grids can run on a single GPU when data is stored structurally.
Physics at structural scale
Plasma Simulation
Vlasov solvers, kinetic theory, 6D phase-space distributions. Structural representation enables accurate simulation without format conversion or grid degradation.
Fusion Reactor Design
Tokamak modeling, stellarator optimization. Confinement prediction across extreme parameter ranges. QTT exploits the separability inherent in magnetic geometry.
Kinetic Theory
High-dimensional distribution functions. QTT storage enables direct simulation of full phase-space evolution without dimensionality reduction.
Physics and enterprise data share structural properties.
QTT exploits the same structural properties in physics data as in enterprise data: smoothness across parameter space, separability in high dimensions, and dimensional hierarchy. Plasma distributions are smooth. Fusion parameter spaces have structure. Clinical records and genomic data have similar regularity.
The Canonical Data Atlas classifies both workloads. The substrate applies because the mathematics is domain-agnostic.