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EeroQ and Conductor Demonstrate Autonomous Future of Quantum Computing Labs
Companies use NVIDIA Ising to accelerate development of self-driving quantum labs.
Apr. 14, 2026 at 3:27pm
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Cutting-edge AI models are empowering quantum researchers to automate and accelerate the development of scalable quantum computing systems.Chicago TodayEeroQ and Conductor, two leading quantum computing companies, have announced a breakthrough in developing autonomous quantum computing labs using NVIDIA's Ising platform. The new AI-powered system aims to dramatically speed up the process of building scalable quantum computers, which is a critical challenge facing the industry.
Why it matters
Quantum computing has the potential to revolutionize fields like cryptography, materials science, and drug discovery, but building a practical, large-scale quantum computer remains extremely difficult. Advances in autonomous lab systems could help quantum computing researchers make faster progress towards this goal.
The details
The companies say the NVIDIA Ising platform, which includes a family of open AI models, will enable quantum labs to automate many repetitive and time-consuming tasks. This includes optimizing experimental setups, analyzing data, and even suggesting new experiments to try. The goal is to free up researchers to focus on the core scientific challenges.
- EeroQ and Conductor announced the breakthrough on April 14, 2026.
The players
EeroQ
A leading quantum computing company focused on building scalable quantum hardware.
Conductor
A company that provides software and services to accelerate quantum computing research and development.
NVIDIA Ising
A family of open AI models developed by NVIDIA to enable autonomous control of quantum computing experiments and infrastructure.
What’s next
EeroQ and Conductor plan to continue developing and refining their autonomous quantum lab systems, with the goal of making them widely available to researchers in the coming years.
The takeaway
The partnership between EeroQ, Conductor, and NVIDIA represents a significant step towards making quantum computing more accessible and accelerating the pace of breakthroughs in this critical field of research.
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