Frontier-Grade Quantum LDPC with Accelerated Time-to-Market Economics

This dataset accompanies a 24-hour research sprint producing a fully reproducible, ArXiv/Overleaf/Zenodo-ready preprint demonstrating the practical economics and fault-tolerant feasibility of frontier quantum LDPC architectures. Using Bivariate Bicycle (BB) codes as a testbed, the included Colab and Python scripts simulate logical failure rates versus physical error probabilities under superconducting noise assumptions. Results indicate fault-tolerance thresholds near 0.65% and GPU decoding latency under 63 μs, bridging the gap between research theory and near-term hardware feasibility. This repository supports rapid replication, educational integration, and frontier product design for modular quantum computing architectures.