EdenCode Inc. has emerged from stealth with an AI-powered, decoder that can reduce latency and improve accuracy in quantum error correction.

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EdenCode Inc., a San Jose startup, has launched an AI-powered real-time decoder for quantum error correction, achieving sub-millisecond decoding speeds and 99.9% error detection rates. Founded by researchers from Harvard and UC San Diego, the company raised $1.3 million in pre-seed funding to develop its hardware-agnostic platform that uses neural networks to detect and correct quantum computing errors up to 10x faster than conventional methods. The system is designed to work across multiple quantum architectures including superconducting, trapped-ion, and photonic systems, with continuous learning capabilities that adapt to changing hardware conditions.

EdenCode Emerges From Stealth With Real-Time AI Decoder For Quantum Error Correction