Machine learning predictive surrogates cut data extraction overhead >99.97%, accelerating software testing/ quantum chemistry modeling
https://phys.org/news/2026-06-surrogates-quantum-overhead.html
"extracting reliable data requires millions of repeated physical hardware runs, overcome engineering classical machine learning framework as digital twin, training on a minimal sampling of initial data to learn processor's input-output pathways... mimics quantum processors eliminating massive time/ data-gathering extracting quantum metrics... demanding benchmarks validated on 42-qubit superconducting quantum processor... faster quantum utility-scale discovery timelines, material science workflows"
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