To harness the power of AI in its experiments, EeroQ has engaged Conductor Quantum, a San Francisco–based company that develops AI systems for quantum computer control. By integrating AI-driven control and optimization into its laboratory workflows, EeroQ will be able to streamline multi-parameter tuning and improve the speed and reproducibility of qubit operation.

EeroQ is developing the world’s first quantum computing technology based on electrons floating above liquid helium. In this novel scheme, a thin helium layer separates the electron qubits from the underlying control chip, protecting them from impurities and noise that limit performance for other qubit types. Despite this unique approach, EeroQ’s ‘quantum dots’ (microscopic electron traps created by gate electrodes placed just beneath the helium surface) closely resemble those used to control electron qubits in silicon and other solid-state materials.  

All such quantum dots rely on careful tuning of the voltage applied to each gate electrode, not only to confine single electrons but often to suppress interactions with noise sources that limit the lifetime of the electron quantum state. While this process is vital for initializing qubits and reducing errors in quantum computations, it remains a complex and time-consuming task for engineers. However, this type of multi-variable optimization problem is ideally suited for AI models trained to analyze experimental signals and efficiently search for optimal operating points.

“Working with Conductor to make AI-assisted experiments a reality at EeroQ is hugely exciting,” according to Niyaz Beysengulov, Director of Quantum Engineering at EeroQ. “By implementing AI in our workflow, we will not only increase the speed and efficiency of key operations such as isolating and measuring our electron qubits but also free our engineers to focus their expertise where it matters most, developing the core technologies that power our innovative quantum computing platform”.

As in most technology sectors, AI is set to become an increasingly important tool in quantum computing in the coming years. In Conductor’s vision, the role of AI is not limited to single tasks such as tuning gate voltages, as CEO Brandon Severin explains: “AI accelerates all workflows, in and out of the lab, enabling us to move faster on the path to a large-scale quantum computer.Along the way, AI becomes a powerful tool for scientific discovery. We have seen this before in other fields, and in quantum computing we are only just scratching the surface.”

For EeroQ, introducing AI to the lab marks an important step toward innovation, faster iteration, and more scalable control of its unique quantum platform. By combining pioneering hardware with intelligent optimization, the company is accelerating its path toward realizing large-scale quantum computing with electron qubits floating on the surface of liquid helium.