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A biological sequence comparison algorithm using quantum computers,

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cs.LG 1

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2025 1

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Modeling Feature Maps for Quantum Machine Learning

cs.LG · 2025-01-14 · conditional · novelty 3.0

Under simulated NISQ noise, QSVC is the most robust classifier for genomic data, while Peg-QSVC and QNN are sensitive and PauliFeatureMap is the most fragile encoding.

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  • Modeling Feature Maps for Quantum Machine Learning cs.LG · 2025-01-14 · conditional · none · ref 3

    Under simulated NISQ noise, QSVC is the most robust classifier for genomic data, while Peg-QSVC and QNN are sensitive and PauliFeatureMap is the most fragile encoding.