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EdenCode Inc., a startup based in San Jose, has launched an AI-powered real-time decoder aimed at enhancing quantum error correction for fault-tolerant quantum computing. The platform, which emerged from stealth after closing a $1.3 million pre-seed round, utilizes neural networks to achieve sub-millisecond decoding and a 99.9% error detection rate, with processing speeds up to 10 times faster than traditional methods.

Founded by researchers from Harvard University and UC San Diego, EdenCode's hardware-agnostic system is designed to integrate seamlessly with various quantum architectures, including superconducting and trapped-ion systems. The technology adapts to changing hardware conditions through continuous learning, allowing it to reduce error rates significantly. EdenCode aims to facilitate enterprise deployment with features for security, reliability, and support, ensuring compatibility with existing quantum workflows.