Logical Compilation for Multi-Qubit Iceberg Patches

The project addresses a critical bottleneck in the scaling of quantum computers: the overhead of logical qubits. While standard surface codes typically assign one logical qubit to one physical patch (k=1), 'Iceberg Patches' represent an approach to pack more logical qubits (k>1) into physical hardware. This repository provides the compilation logic to map circuits onto these specific high-rate code structures. From a competitive standpoint, the defensibility is currently low (4) because the project is a 7-day-old reference implementation for a research paper. While it demonstrates 5 forks (indicating immediate peer interest in the quantum research community), it lacks a sustained developer ecosystem or integration into major frameworks like Qiskit or Cirq. The 'moat' is essentially the specialized domain expertise required to understand and implement Iceberg code lattice surgery. Frontier risk is low in the context of LLM labs (OpenAI, Anthropic), who do not compete in quantum hardware/compilation. However, within the quantum industry, companies like Google Quantum AI, IBM, and Quantinuum are actively developing their own proprietary high-rate code compilers. The risk of platform domination is medium because if a hardware provider (e.g., IBM) moves toward these specific LDPC or high-rate code architectures, they will likely implement their own optimized, closed-source compiler at the system level. The displacement horizon is 1-2 years, as the field of QEC compilation is moving rapidly toward generic LDPC code support, which might subsume the specific 'Iceberg' approach.