Teams at Quantum Machines

Define and validate control requirements for neutral-atom quantum platforms across analog signals and real-time control. Translate physics insights into product requirements and reference architectures, collaborate with hardware/firmware/software teams, model and benchmark solutions, and engage customers and the research community to guide roadmap and scaling to large systems.

Design, build, and deploy machine learning systems for controlling quantum processors. Develop reinforcement learning and Bayesian methods for QEC calibration, and work cross-functionally with product and R&D teams.