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quant-ph2024
Power Characterization of Noisy Quantum Kernels
Yabo Wang, Bo Qi, Xin Wang +2
Quantum kernel methods have been widely recognized as one of promising quantum machine learning algorithms that have potential to achieve quantum advantages. In this paper, we theo…
quant-ph2024
Neural auto-designer for enhanced quantum kernels
Cong Lei, Yuxuan Du, Peng Mi +2
Quantum kernels hold great promise for offering computational advantages over classical learners, with the effectiveness of these kernels closely tied to the design of the quantum…