Quantum Machine Learning and Data Re-Uploading: Evaluation on Benchmark and Laboratory Medicine Data Sets

Quantum Machine Learning and Data Re-Uploading: Evaluation on Benchmark and Laboratory Medicine Data Sets

From Clinical Chemistry Podcast by Association for Diagnostics and Laboratory Medicine

April 21, 2026 · 12 min

About this episode

This episode discusses the evaluation of Quantum Machine Learning and Data Re-Uploading techniques on benchmark and laboratory medicine data sets.

Thomas J S Durant, Seung Joo Lee, Sarah N Dudgeon, Elizabeth Knight, Brent Nelson, H Patrick Young, Lucila Ohno-Machado, Wade L Schulz. Quantum Machine Learning and Data Re-Uploading: Evaluation on Benchmark and Laboratory Medicine Data Sets. Clinical Chemistry , Volume 72, Issue 4, April 2026, Pages 451–460. https://doi.org/10.1093/clinchem/hvaf192

People in this episode

Guests: Thomas J S Durant, Seung Joo Lee, Sarah N Dudgeon, Elizabeth Knight, Brent Nelson, H Patrick Young, Lucila Ohno-Machado, Wade L Schulz

Topics covered

  • Quantum Machine Learning
  • Data Re-Uploading
  • Laboratory Medicine
  • Benchmark Data Sets
  • Evaluation Methods

Keywords

  • Quantum Machine Learning
  • Data Re-Uploading
  • Laboratory Medicine
  • Benchmark Data Sets
  • Clinical Chemistry

Mentioned in this episode

Organizations: Clinical Chemistry

Books & works: Volume 72, Issue 4

More episodes of Clinical Chemistry Podcast

Explore listener stats, chart rankings, contacts and more on the Clinical Chemistry Podcast podcast page.