The Team
Deep Physics, HPC, and Commercial Execution.
Solving the "Computational Complexity Wall" of semiconductor manufacturing with Tensor Networks and AI.
Cutting-edge chips are approaching the Angstrom scale at fast pace. Traditional simulation methods (FDTD, RCWA) critical for their fabrication hit a computational bottleneck.
The industry's hope is "Probabilistic AI". But a wrong guess leads to dead transistors, multimillion dollar losses and weeks of delay. Accuracy is the key.
Brute force methods that struggle to scale with the complexity of modern mask sets.
Risk of wrong predictions. Crucially, needs verification.
Rigorous and scalable beyond what is currently possible powered by quantum-inspired algorithms.
We don't just run code faster; we changed the math. Our software leverages Tensor Networks—the language of quantum physics—to compress electromagnetic fields without losing data.
With key industrial players, we are establishing new standards.
Inspired by quantum many-body physics, we represent complex EM fields as compressed tensor networks.
We unlock the ability to train other ML models on vast datasets by providing a rigorous "ground truth".
Unlike generative models that guess, Hydra solves Maxwell's equations at unmatched scales and accuracy.
High-NA Lithography Simulation Engine
Click to view performance benchmarks.
Deep Physics, HPC, and Commercial Execution.
We are solving the Angstrom Era's toughest problems.
Tensor Network powered stack
Data source: Internal validation on standard dielectric scattering masks.
