AI-native error correction and real-time control — built across hardware modalities.
01 · THE BOTTLENECK
As systems scale, the hard problem moves beyond the qubit. Measurement, error decoding, calibration and real-time execution must work together inside the control loop.
02 · THE EVIDENCE
Each signal below answers a different investor question: can it run fast enough, can it reduce the hardware burden, and has anyone outside the company taken notice?
Atom-rearrangement latency — about 160× faster than prior published work.
Physical qubits in a public superconducting-hardware benchmark.
Proposals in the field; selected with UC San Diego and Berkeley Lab.
03 · THE SYSTEM
Quantum experiments produce the data that trains the models that improve the next experiment. EdenCode is building the intelligence layer inside that loop.
04 · THE SIGNAL
The work is visible through public research, open source, real hardware and external selection. The company is early; the evidence is not hypothetical.
Selected from more than 5,000 proposals with UC San Diego and Berkeley Lab.
Read the announcement →Error detection benchmarked on IBM superconducting hardware.
Read the paper →An attention-based decoder released for public inspection and use.
View the code →EDENCODE · BRAND ASSET
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