Quantum Error Correction (QEC) is essential for building scalable quantum computers, but a lack of systematic, end-to-end evaluation methods makes it difficult to assess how different QEC codes perform under realistic conditions. To address this, we introduce ECCentric, a modular, extensible, and general end-to-end benchmarking framework designed to systematically evaluate QEC codes across the full quantum computing stack—from code construction and compilation to simulated execution on devices with specified topologies and noise characteristics.
ECCentric bridges the gap between theoretical potential and real-world implementation, providing actionable insights into the trade-offs, overheads, and practical feasibility of leading QEC codes.
Our findings are organized into three core areas:
If you find our work useful in your research, please cite our SIGMETRICS'26 paper: