PH-QFNO partitions the QFNO Fourier layer into 4-wide quantum blocks and a classical remainder, matching FNO accuracy on Burgers and beating an in-house FNO on 8x8 Navier-Stokes due to a larger parameter count.
Potential of quantum scientific machine learning applied to weather modeling,
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Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
PH-QFNO partitions the QFNO Fourier layer into 4-wide quantum blocks and a classical remainder, matching FNO accuracy on Burgers and beating an in-house FNO on 8x8 Navier-Stokes due to a larger parameter count.