Use semantic oracles for quantum library bug detection
Assess quantum library logic by checking if valid inputs can produce invalid outputs, going beyond failure-based testing.
Use constraints from quantum semantics and documentation as a source-level semantic oracle to assess whether implementation logic can produce invalid outputs from valid inputs.
This approach helps uncover 'silent bugs' that do not cause immediate crashes or obvious failures but can lead to incorrect results propagating through quantum algorithms and simulations.
QuSema inspects Qiskit documentation and code to find cases where a quantum operation, given valid input parameters, might internally produce an invalid quantum state or violate fundamental quantum principles.
Employ semantic oracles derived from quantum library documentation and principles to test for subtle, non-crashing bugs. This method identifies issues where valid inputs might lead to logically incorrect outputs, improving software reliability.
When only crash-based or comparison-based testing is feasible or sufficient.
- QuSema: Detecting Silent Bugs in Quantum Libraries via Quantum-knowledge-enhanced Agents ↗arXiv · arXiv cs.AI · Oct 7, 2026 · paraphrased
First seen on Subvolts Oct 7, 2026. Updated Oct 8, 2026. Spotted a problem? Tell us.
- QuSema: Detecting Silent Bugs in Quantum Libraries via Quantum-knowledge-enhanced AgentsAnthropic · arXiv cs.AI · Oct 7, 2026
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Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with in the sources.
- Where did this come from?
- arXiv (arXiv cs.AI). Subvolts collected, normalized and credited it; the link above opens the original.