Q-Factor

Q-Factor's neutral-atom quantum computing platform: optical tweezer arrays, Rydberg gates, strontium-88 qubits, and the AI calibration layer that keeps them performing.

The company’s calibration agent uses an ML architecture to learn trap-frequency drift patterns and adjust beam parameters preemptively to maintain array fidelity.

How single-atom imaging, real-time defect detection, and active rearrangement combine to fill a 100-site tweezer array with near-unity occupancy before every experimental run.

Q-Factor's closed-loop AI calibration system monitors trap frequencies and gate parameters at 100 Hz, predicts drift before it degrades fidelity, and restores array performance without manual intervention.

Technical posts from Q-Factor: neutral-atom quantum computing, Rydberg gates, AI calibration, coherence benchmarks, and hardware engineering.

Q-Factor was founded in 2025 in Tel Aviv by a team with backgrounds in AMO physics, quantum hardware engineering, and machine learning. It builds neutral-atom quantum computing hardware.

Contact Q-Factor to request hardware access, discuss research collaboration, or reach the team directly. Based in Tel Aviv.

Q-Factor builds optical tweezer arrays with an AI calibration layer that detects qubit drift and corrects it automatically.

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