blueqat’s ML Acceleration Declaration: Tackling Social Challenges with Transformers, Tensor Networks, and Quantum
blueqat is expanding its investment in machine learning to accelerate monetization through services and in-house model development.
Our pillars are Transformers (DiT/ViT), tensor networks (for lighter, faster models), and the fusion of diffusion models with quantum circuits.
What we’ll do
- Model enhancement: Expand DiT/ViT across vision, time series, and text generation.
- Efficiency: Use tensor networks to cut memory footprint and boost speed.
- Physics × generation: Inject physical knowledge into diffusion models and integrate with quantum circuits.
Infrastructure
- Data center: High-density GPUs, distributed storage, and strengthened security.
- Compute stack: Expand our in-house GPU cluster and accelerate the build-out of a semiconductor quantum (computing) environment.
Strengthening IP
blueqat will build an R&D system centered on intellectual property (patents and publications), focusing on in-house development and engaging in selective collaborations only when they deliver clear impact. The goal is to secure technology advantages that translate into revenue and to maximize development speed.