Decoding coherent errors in toric codes on honeycomb and square lattices: duality to Majorana monitored dynamics and symmetry classes

The project is a fresh (4-day-old) academic research contribution to the field of Quantum Error Correction (QEC). Its primary value lies in the mathematical mapping between coherent errors (which involve quantum interference and are significantly harder to decode than stochastic Pauli noise) and Majorana monitored dynamics. From a competitive intelligence standpoint, the 'defensibility' is rooted in deep domain expertise in many-body physics and quantum information theory rather than code moats. With 0 stars and 3 forks, it is currently a reference implementation for the associated arXiv paper. It lacks the community gravity of established QEC toolsets like Google's Stim or the various MWPM (Minimum Weight Perfect Matching) decoders like PyMatching. Frontier risk is low because labs like OpenAI or Anthropic are focused on LLMs, not hardware-level quantum error correction. However, 'Platform Domination Risk' from quantum-specific giants (Google Quantum AI, IBM, AWS Braket) is medium; these entities are the primary consumers of such research and would likely integrate successful decoding strategies into their own proprietary or open-source stacks (like Cirq or Qiskit) rather than using a standalone niche repo. The displacement horizon is 3+ years, tied to the slow evolution of fault-tolerant hardware capable of utilizing these advanced decoding techniques.