Q-PIPE is a quantum phase encoding for images that achieves O(qN) gate complexity, supports native finite-difference operations, and shows low error in edge-detection tests on benchmark data.
arXiv preprint arXiv:2405.02069 (2024)
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Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.
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Q-PIPE A Practical Quantum Phase Encoding Method
Q-PIPE is a quantum phase encoding for images that achieves O(qN) gate complexity, supports native finite-difference operations, and shows low error in edge-detection tests on benchmark data.
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Benchmarking a machine-learning differential equations solver on a neutral-atom logical processor
Logical quantum kernels outperform physical ones when solving differential equations on a neutral-atom processor, with gains traced to noise error detection in the logical encoding.