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v0.7.1 – LLR Physical Weight Formalism

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@DennisWayo DennisWayo released this 20 Feb 14:47
· 110 commits to main since this release

Highlights

  • Physically grounded LLR weight formalism
  • Shared weight interface (uniform | neural | llr)
  • Separate noise channel support (data / meas / idle)
  • Weighted Union-Find support
  • Metadata-rich threshold CSV logging
  • OpenMP-parallel threshold runner

Scientific Impact

This release introduces a physically motivated log-likelihood ratio
weight model for surface-code decoding, enabling realistic modeling
of heterogeneous noise channels and improved reproducibility.

Compatibility

Backward compatible with v0.7.0 CLI interface.