A PyTorch-based extension of Pulser enables gradient-based optimization of laser pulse and register parameters for neutral-atom quantum devices, reaching above 99% simulated fidelities in gate and state-preparation tasks.
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PulserDiff: a pulse differentiable extension for Pulser
A PyTorch-based extension of Pulser enables gradient-based optimization of laser pulse and register parameters for neutral-atom quantum devices, reaching above 99% simulated fidelities in gate and state-preparation tasks.