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UCLA, Caltech, and NVIDIA Develop Fourier Neural Operator for Quantum Control Sequence Synthesis
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UCLA, Caltech, and NVIDIA Develop Fourier Neural Operator for Quantum Control Sequence Synthesis
A research collaboration involving UCLA, Caltech, and NVIDIA has developed a machine-learning framework utilizing a Fourier Neural Operator (FNO) for the inverse design of quantum control pulse sequences. This FNO-based method significantly accelerates the synthesis of quantum control sequences, achieving a 10⁷x speedup and reducing computation time from 10 hours to 10-20 minutes, with an 86.2% success rate in preparing target quantum states. Th…
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