SynQubi – Autonomous Synthetic Data Engine for AI Calibration

Summary: SynQubi automates synthetic data generation by integrating Isaac Sim with quantum simulators to identify model weaknesses and improve sim-to-real performance. It enables autonomous optimization of error mitigation and control policies, accelerating R&D and enhancing system fidelity.

What it does

It pairs Isaac Sim with quantum simulators to detect model weaknesses and generate targeted synthetic data, creating a closed-loop system for autonomous error mitigation and control policy optimization.

Who it's for

Researchers working on physical and quantum AI who need to overcome manual calibration bottlenecks.

Why it matters

It reduces manual calibration effort and accelerates R&D cycles by improving model accuracy and system fidelity autonomously.