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Postdoctoral Fellow - Applied Machine Learning in Quantum Systems

Summary This role focuses on developing computational methods for in-the-loop stabilization of neutral atom Logical Quantum Processing Units (LQPUs). The position sits at the interface of quantum hardware and control systems, supporting bot

Company

QuEra Computing

Location

Boston, MA, USA

Status

Open

Posted

2026-02-26T23:26:48+00:00

A postdoctoral position at QuEra Computing in Boston developing machine-learning methods that keep neutral-atom logical quantum processors stable while running. The fellow builds models that infer high-fidelity quantum operations from device measurements and prototypes feedback control that adjusts sequences based on outcomes, working alongside physics, error-correction, hardware and control teams. The posting asks for a PhD in physics, computer science or electrical engineering, experience with a quantum platform, ML for inference and hardware-in-the-loop work, and Python or C++. The posted range is $110,000–$120,000, with equity.