EDENCODE · NEWS RELEASE
MAY 4, 2026 · RESEARCH
A benchmarking study with EPFL, Michigan State, Harvard and the Unitary Foundation, using up to 74 physical qubits.
SAN JOSE, CALIFORNIA — May 4, 2026
Research co-authored by EdenCode Inc. on the opportunities and challenges of scaling quantum error detection on hardware was published on arXiv today.
The paper, Opportunities and challenges in scaling quantum error detection on hardware, was written with researchers at École Polytechnique Fédérale de Lausanne, Michigan State University, Harvard University and the Unitary Foundation.
The study benchmarks error detection on real and simulated noisy quantum computers, using the repetition code and the triangular color code for memory experiments and logical computations with up to 74 physical qubits. The authors also estimate the pseudothreshold of these codes to map the frontier of error detection on current and future machines.
The paper identifies the two structural constraints on the approach: the number of samples required grows exponentially with circuit depth and noise level, and classical processing generally grows with code distance. Despite those constraints, the authors report that the results show strong promise for scaling error detection on hardware.
EdenCode Inc. is a San Jose, California-based company building the intelligence layer for useful quantum computing. EdenCode develops AI-native decoders and control systems designed to meet the real-time latency and accuracy requirements of fault-tolerant quantum computing across multiple hardware platforms. For more information, contact hwanda@edencode.ai.
SOURCES arXiv:2605.02861
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