25 citations · 41 across the 6 of their papers we have counts for
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quant-ph2024★ 1 cited
Benchmarking of quantum fidelity kernels for Gaussian process regression
Xuyang Guo, Jun Dai, Roman V. Krems
Quantum computing algorithms have been shown to produce performant quantum kernels for machine-learning classification problems. Here, we examine the performance of quantum kernels…
quant-ph2022★ 13 cited
Quantum Gaussian process model of potential energy surface for a polyatomic molecule
Jun Dai, Roman V. Krems
With gates of a quantum computer designed to encode multi-dimensional vectors, projections of quantum computer states onto specific qubit states can produce kernels of reproducing…