SEALSQ Corp. had highlighted a major milestone achieved by its Quantum Fund portfolio company EeroQ, which has successfully demonstrated the future of autonomous quantum computing laboratories in collaboration with Conductor Quantum and NVIDIA. The breakthrough integrates EeroQ's electron-on-helium quantum hardware, Conductor Quantum's AI-driven orchestration platform, and NVIDIA's newly released Ising quantum AI models, creating a functional prototype of a self-operating quantum lab.
This pioneering system enables quantum experiments to be executed, monitored, and optimized autonomously using natural language prompts, marking a significant leap toward scalable and practical quantum computing. In the demonstrated setup, NVIDIA's Ising models were directly connected to EeroQ's quantum processor, allowing AI agents to run iterative experiments, adjust parameters in real time, and analyze results on live hardware. The system successfully executed advanced quantum protocols, including electron manipulation and detection, validating the ability of AI to control and optimize quantum processes with minimal human intervention.
The innovation builds on NVIDIA's Ising platform, the world's first open-source family of AI models specifically designed to address critical quantum computing challenges such as processor calibration and error correction. These models can significantly accelerate development timelines by improving performance and automation in quantum systems. By embedding AI directly into experimental workflows, the collaboration demonstrates how machine intelligence can move from assisting researchers to actively driving scientific discovery. As a portfolio company of the SEALSQ Quantum Fund, EeroQ represents a key strategic investment in next-generation quantum computing architectures.
Its unique approach, leveraging electrons on helium and compatibility with CMOS fabrication, positions it as a scalable and capital-efficient alternative in the global race toward practical quantum systems. The emergence of autonomous quantum labs signals a paradigm shift in how scientific research is conducted. By combining AI with quantum hardware, researchers can dramatically accelerate experimentation cycles, reduce operational complexity, and unlock new frontiers in physics, materials science, and cryptography.
