Systematic benchmark of peephole optimization across 15 quantum circuit families. Discovers listing model sensitivity and prototype action-space ceilings.
-
Updated
Aug 7, 2026 - Python
Systematic benchmark of peephole optimization across 15 quantum circuit families. Discovers listing model sensitivity and prototype action-space ceilings.
Replication package for the qpa study on quantum software patterns: a local embedding matcher that detects pattern implementations in open-source projects, Neo4j composition graphs showing how framework primitives decompose, and an LLM-assisted knowledge base linking 286 components from five frameworks to a 61-pattern catalog.
Add a description, image, and links to the quantum-software-patterns topic page so that developers can more easily learn about it.
To associate your repository with the quantum-software-patterns topic, visit your repo's landing page and select "manage topics."