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Deep Loop Shaping: AI-designed controllers improve LIGO sensitivity

2025-09-18

Our collaboration with Google DeepMind has produced a new reinforcement-learning method called Deep Loop Shaping that designs better feedback controllers for LIGO’s mirror stabilization systems. The technique uses frequency-domain rewards to train controllers that reduce low-frequency control noise by over 30x across the 10–30 Hz band at LIGO Livingston — surpassing the quantum-noise-limited design goal.