3 papers
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…
quant-ph2026
How many qubits does a machine learning problem require?
Sydney Leither, Michael Kubal, Sonika Johri
For a machine learning paradigm to be generally applicable, it should have the property of universal approximation, that is, it should be able to approximate any target function to…
quant-ph2025
A Quantum Platform for Multiomics Data
Michael Kubal, Sonika Johri
The complexity of biological systems, governed by molecular interactions across hierarchical scales, presents a challenge for computational modeling. While advances in multiomic pr…