GPT-5.6 Sol Automates Quantum Experiments at MIT
Felix Pinkston Sep 11, 2026 21:51 MIT uses OpenAIs GPT-5.6 Sol to automate quantum computing experiments, saving time and enhancing research efficiency. OpenAI‘s flagship AI model, GPT-5.6 Sol, is being used by researchers at MIT to automate critical aspects of quantum computing experiments, significantly streamlining workflows in one of the most complex fields of modern science. Beatriz Yankelevich, a graduate student with MIT’s Engineering Quantum Systems Group (EQuS), has successfully deployed the model to autonomously conduct measurements on superconducting qubits, the building blocks of quantum processors. Quantum computing relies on qubits, which operate using the principles of quantum mechanics. Unlike classical bits, qubits can exist in superpositions of states, allowing quantum computers to tackle computational problems that are intractable for traditional systems. However, preparing and calibrating qubits is a labor-intensive process requiring hundreds to thousands of interdependent measurements—a problem MIT researchers are addressing with AI. Yankelevich connected GPT-5.6 Sol to laboratory software via Codex, enabling the AI to execute routine measurement workflows autonomously. The system analyzes results, adjusts experimental parameters dynamically, and saves findings for subsequent stages. This automation has freed researchers from constant supervision, allowing them to focus on higher-value tasks like designing experiments and interpreting data. “I can have agents running measurements overnight









