IQM Quantum Computers and NVIDIA have successfully automated the calibration of a 20-qubit quantum processor using NVIDIA Ising Vision-Language Models (VLMs). This agentic AI system analyzes experimental data, autonomously adjusts parameters, and generates diagnostic logs for human review. They also released QCalEval, an open benchmark for AI-driven quantum processor bring-up, where NVIDIA Ising Calibration models outperformed general-purpose VLMs.
The post IQM and NVIDIA Automate 20-Qubit Chip Calibration via NVIDIA Ising Vision-Language Models and QCalEval Benchmark appeared first on Quantum Computing Report.
