N. Mathlouthi

Quantum Encoding Strategies for Drug Response Prediction: An Exhaustive Benchmark on a 20-Qubit Superconducting QPU

This work constitutes a reproducible baseline for noise-aware quantum machine learning on pharmaceutical data and shows that hardware-efficient entanglement structures—specifically alternating cost and mixer layers—provide a systematic advantage over purely rotational or diagonal encodings under realistic noise conditions.