aiqbench analysis
This paper offers a systematic, computational test that either builds a classical model for prepare-transform-measure experimental data or proves none exists, which is useful for anyone verifying quantum advantage in experiments. Its demonstration on the stabilizer subtheory, a framework central to quantum error correction, ties the result to practical quantum computing. The authors note the method is linear and does not yet fully capture diagram-preservation constraints, so it is a step forward rather than a complete solution.
Researchers map the limits of classical quantum modeling

Researchers mapped the limits of classical explanations for quantum behavior, deriving “noncontextuality inequalities” for prepare-transform-measure scenarios.
Researchers have developed a new technique using linear quantifier elimination to systematically identify when quantum behavior cannot be explained by classical means in prepare-transform-measure scenarios. The work defines a “polytope of correlations” bounded by “noncontextuality inequalities,” offering a mathematical test for classicality in these experiments. This approach allows for a computational test that either constructs a classical model for experimental data or proves its impossibility, and the team applied it to the stabilizer subtheory, finding a “robust noncontextuality inequality” that can be violated, demonstrating a clear quantum advantage. Researchers developed a systematic technique…
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