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Protein-affinity benchmark finds deep-learning models vary across targets

A bioRxiv preprint introduces PLABench, a benchmark comparing nine deep-learning methods for predicting protein–ligand binding affinity. Its authors report that strong overall accuracy did not translate into consistent performance across targets or protein families.

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Sandia-led team creates cross-platform benchmark that directly measures quantum computational power

A team led by Sandia National Laboratories has developed the QUOPS benchmark, which directly measures the largest computationally relevant quantum circuits a machine can execute and the speed at which it can execute them. Applied to processors from Quantinuum, Google, and IBM, the benchmark revealed a roughly 5-order-of-magnitude gap between current capability and the resource requirements for useful quantum computation.