Tuning gate durations in noisy transmon qubit rings raises fidelity, with local maxima appearing under strong noise and an ML model predicting optima for new hardware.
arXiv preprint arXiv:2011.04041 , year=
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Shapley values for LLM explanations in financial text are shown via theory and experiments to produce attributions consistent with financial reasoning.
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Enhancing Circuit Fidelity in Transmon Qubit Rings via Operation Duration Tuning under Strong Connectivity Noise
Tuning gate durations in noisy transmon qubit rings raises fidelity, with local maxima appearing under strong noise and an ML model predicting optima for new hardware.
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Shapley in Context: Explaining Financial Language with Domain Expertise
Shapley values for LLM explanations in financial text are shown via theory and experiments to produce attributions consistent with financial reasoning.