Structure-aware tensor decomposition
TensorHyper
GPU-native tensor network infrastructure. Validated at ~2,900× parameter reduction with zero logical capability loss — the highest compression-accuracy ratio measured in the industry.
Products
Two engines, one tensor-native foundation.
TensorHyper compresses AI models natively on GPU and CPU. TensorDual-VQC bridges classical and quantum hardware, validated on the 156-qubit IBM Heron processor.
>50×
Parameter Compression
Up to
90%
Compute & Memory Reduction
~100%
Accuracy Retention
Acceleration
10×
Combinatorial Search & Sampling
Unified GPU + QPU runtime · Resolves barren plateau
TensorDual-VQC
Quantum-native variant bridging GPU and QPU. Resolves barren plateaus, enables stable deep-circuit training, and runs on real quantum hardware including the 156-qubit IBM Heron — delivering the first scalable quantum advantage.