EdenCode offers an AI‑driven quantum error correction platform that detects and corrects errors in real time with sub‑millisecond latency and up to ten‑fold faster processing than traditional methods. Its hardware‑agnostic neural‑network decoders continuously learn from operational data, providing 99.9% error detection accuracy and scalable support for quantum systems ranging from a few to hundreds of qubits.
Funding
Funding not disclosed
Founders
Product
Problem
Quantum computers are highly susceptible to errors caused by decoherence and noise, which limit circuit depth and algorithm reliability. Existing error correction methods are often too slow, hardware-specific, or require substantial overhead, preventing practical, large‑scale quantum computation.
Solution
EdenCode provides an AI‑driven decoder that detects and corrects quantum errors in real time, achieving sub‑millisecond latency and up to ten‑fold faster processing than traditional schemes. The platform trains deep neural networks on quantum error patterns, enabling hardware‑agnostic error correction that continuously learns from operational data to improve accuracy. By integrating seamlessly with existing quantum workflows, the decoder reduces error rates, extends coherence times, and supports fault‑tolerant operation across diverse quantum architectures. The solution is delivered as a modular, scalable ecosystem with enterprise‑grade security, 24/7 monitoring, and technical support.
Target Audience
Primary customers are quantum hardware manufacturers, research institutions, and cloud quantum service providers that require fast, reliable error correction to run complex quantum algorithms at scale.
Features
- Advanced neural‑network models trained on large‑scale quantum error simulations for high detection accuracy (99.9% error detection rate)
- Sub‑millisecond decoding latency (<1 ms) to enable real‑time error correction during algorithm execution
- Hardware‑agnostic design compatible with all major quantum computing platforms and qubit technologies
- Scalable, modular architecture that can support systems ranging from a few qubits to hundreds of qubits
- Continuous learning pipeline that adapts to hardware drift and new error sources, improving performance over time
- Enterprise‑grade security and reliability features, including encrypted data handling and 24/7 operational monitoring