GQKAE uses quantum-inspired Kolmogorov-Arnold networks to reduce parameters by 66% in generative quantum eigensolvers while achieving chemical accuracy on H4, N2, LiH, and other molecules.
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Fused Tensor Core kernels for Ozaki Schemes I and II achieve up to 83% of INT8 peak throughput and outperform cuBLAS TF32 and ZGEMM on large matrices at comparable accuracy.
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Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
GQKAE uses quantum-inspired Kolmogorov-Arnold networks to reduce parameters by 66% in generative quantum eigensolvers while achieving chemical accuracy on H4, N2, LiH, and other molecules.
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EmuGEMM: Fused Tensor Core Kernels for Precision Emulation in Matrix Multiplication
Fused Tensor Core kernels for Ozaki Schemes I and II achieve up to 83% of INT8 peak throughput and outperform cuBLAS TF32 and ZGEMM on large matrices at comparable accuracy.