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quant-ph2024★ 2 cited
Training-efficient density quantum machine learning
Brian Coyle, Snehal Raj, Natansh Mathur +4
Quantum machine learning (QML) requires powerful, flexible and efficiently trainable models to be successful in solving challenging problems. We introduce density quantum neural ne…
quant-ph2023
Improved clinical data imputation via classical and quantum determinantal point processes
Skander Kazdaghli, Iordanis Kerenidis, Jens Kieckbusch +1
Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability…