EdenCode Inc. Launches AI Decoder for Real-Time Quantum Error Correction in San Jose
EdenCode Inc., a San Jose-based startup, has launched an AI-powered real-time decoder for quantum error correction, achieving sub-millisecond decoding and a 99.9% error detection rate. The hardware-agnostic system, developed by researchers from Harvard and UC San Diego, is designed to integrate with various quantum architectures and adapt to changing hardware conditions. With a focus on security and reliability, EdenCode aims to facilitate enterprise deployment in quantum computing.
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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.
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