153 citations · 1.1k across the 43 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
quant-ph2026
Discretization-Aware Fine-Tuning for Quantum Machine Learning with Chemical Foundation Models
Shunji Matsuura, Sonika Johri
A key challenge in practical quantum machine learning (QML), particularly for discriminative tasks such as classification, is the limited capacity of near-term quantum devices to e…
quant-ph2026
Benchmarking Quantum and Classical Machine Learning Models on Oncological Data
Sydney Leither, Thomas Lubinski, Michael Kubal +1
Machine learning is being increasingly used for the detection, diagnosis, and treatment of cancer. However, models often struggle with biological data due to high dimensionality, l…