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University of Chicago's "self-driving" lab automates quantum computing research
Robotics and AI accelerate experiments that would take humans weeks or months to complete.
Apr. 2, 2026 at 10:23pm
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The University of Chicago's pioneering "self-driving" lab uses advanced AI and robotics to accelerate scientific discovery in quantum computing and materials science.Chicago TodayResearchers at the University of Chicago Pritzker School of Molecular Engineering have developed a first-of-its-kind "self-driving" lab that uses artificial intelligence and robotics to automate tedious experiments in quantum computing and materials science. The autonomous system can complete tasks that would normally take high-level researchers weeks or months, allowing them to focus on more advanced work.
Why it matters
The "self-driving" lab represents a major breakthrough in accelerating scientific discovery, with potential applications in reducing the energy consumption of data centers through the development of new quantum materials and superconductors. As data centers continue to proliferate and drive up utility costs, this automated research platform could lead to significant energy and cost savings.
The details
The prototype "self-driving" lab combines AI and robotic engineering to automate the entire experimental process, from gathering materials to conducting tests and analyzing results. PhD student Bill Zheng developed the framework, which he believes can be applied to a wide range of material discovery efforts. Rather than replacing human researchers, the autonomous system frees them up to focus on higher-level work and analysis.
- The "self-driving" lab at the University of Chicago Pritzker School of Molecular Engineering was developed in 2026.
- The lab is currently operating under a one-year grant, but will continue with support from the university after the initial funding period.
The players
University of Chicago Pritzker School of Molecular Engineering
A leading research institution in Chicago that has developed the first "self-driving" lab of its kind in the Midwest, using AI and robotics to automate quantum computing and materials science experiments.
Shuolong Yang
An assistant professor at the University of Chicago Pritzker School of Molecular Engineering who is leading the development of the "self-driving" lab.
Bill Zheng
A PhD student at the University of Chicago Pritzker School of Molecular Engineering who developed the framework for the "self-driving" lab.
What they’re saying
“Basically combining artificial intelligence and robotic engineering.”
— Shuolong Yang, Assistant Professor
“I thought, why couldn't we use AI and robotics to automate this entire process?”
— Bill Zheng, PhD Student
“The framework that we've developed here can help other material discovery as well.”
— Bill Zheng, PhD Student
What’s next
The University of Chicago plans to continue operating the "self-driving" lab beyond the initial one-year grant period, with ongoing support from the institution.
The takeaway
The development of the University of Chicago's "self-driving" lab represents a major advancement in scientific automation, with the potential to significantly accelerate research in quantum computing, materials science, and other fields. By freeing up researchers to focus on higher-level work, this innovative platform could lead to breakthroughs that help address pressing challenges, such as the energy consumption of data centers.
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