Quantum Reservoir Computing using Neutral Atoms

The field of quantum neuromorphic computing takes inspiration from the brain to design learning protocols resilient to the noise in current NISQ devices. We introduce a quantum reservoir computer using arrays of neutral atoms. We show that the high control of state-of-the-art atom array experiments gives our proposal the power to simulate biological learning tasks and robust short-term memory. We draw parallels between our proposal and classical neuroscience models of neural circuits. Our proposal hopes to widen the applicability of current quantum computing platforms in both machine learning and computational neuroscience.