Shadow engineering encodes process shadows as sparse transfer matrices to predict composite quantum process properties f(E1,...,Ek) with polynomial sample complexity, matching single-channel efficiency and demonstrated on superconducting hardware.
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Ocean uses HyperLogLog estimators to skip the costly symbolic phase of GPU SpGEMM, pairs it with dynamic workflow choice and a shared-plus-global hash accumulator, and reports 1.4-2.8x speedups over prior GPU implementations.
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Shadow Engineering of Quantum Processes
Shadow engineering encodes process shadows as sparse transfer matrices to predict composite quantum process properties f(E1,...,Ek) with polynomial sample complexity, matching single-channel efficiency and demonstrated on superconducting hardware.
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Ocean: Fast Estimation-Based Sparse General Matrix-Matrix Multiplication on GPU
Ocean uses HyperLogLog estimators to skip the costly symbolic phase of GPU SpGEMM, pairs it with dynamic workflow choice and a shared-plus-global hash accumulator, and reports 1.4-2.8x speedups over prior GPU implementations.