Milestones
From theory to scalable quantum AI.
2020–2023
Theoretical Foundation
Establishing the theoretical upper bound, error analysis, and fundamental theory for tensor-structured AI.
2024
Distributed & Natural Gradient
Pioneering distributed collaboration and natural-gradient methods that extend tensor networks to deeper, larger models.
2025
IEEE SPL Best Paper Award
Founder Dr. Jun Qi receives the IEEE Signal Processing Letters Best Paper Award for advances in tensor-structured parameterization.
2025
TensorHyper Validated on IBM Heron
Structure-aware compression achieves ~2,900× parameter reduction with near-zero accuracy loss, validated on the 156-qubit IBM Heron processor.
2026
QuStruct.AI Founded in Singapore
QuStruct.AI is incorporated in Singapore to commercialize tensor-native AI infrastructure for the Quantum-AI era.
2026
Joint R&D with IBM, NVIDIA & Quantinuum
Collaborative R&D programs with leading quantum and AI hardware providers, including NVIDIA via the CUDA-Q stack.