AscendFoam/DriftAdaptiveQEC

This is a 33-day-old repository with zero stars, forks, and no activity velocity—clear signals of a personal experiment or early-stage research project. The technical scope is extremely narrow: drift-adaptive QEC targeting a specific code (GKP). No evidence of adoption, documentation quality, or community engagement is visible from the metadata. The README provides domain-specific context but insufficient evidence of working implementation or user adoption. Defensibility is minimal because the project has no user base, no ecosystem, and trivially low switching costs (it doesn't exist as an adopted tool). Novelty is 'novel_combination' rather than 'breakthrough' because adaptive QEC concepts exist in literature, but combining them with GKP drift adaptation represents a targeted research angle. Frontier risk is 'medium' because: (1) Google, IBM, and Atom Computing are actively researching GKP codes and error correction at scale; (2) drift adaptation in QEC is directly relevant to their roadmaps; (3) this could easily become a sub-module in a larger quantum computing platform. However, the project is too specialized and immature for labs to see immediate competitive threat—they would more likely hire the author or integrate the idea post-publication rather than compete with this specific implementation. Implementation depth is 'prototype' given the age and zero adoption. This is suitable for academic publication but not yet infrastructure-grade.