Gothenburg and Chalmers Researchers Develop Modular Graph Neural Decoder for Surface Code Memory and Lattice Surgery
Researchers from the University of Gothenburg and Chalmers University of Technology have developed a modular neural decoder for surface code quantum error correction (QEC). This decoder demonstrates superior performance compared to traditional methods and is capable of adapting across different…
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- T2Gothenburg and Chalmers Researchers Develop Modular Graph Neural Decoder for Surface Code Memory and Lattice SurgeryThe Quantum Insider / Quantum Computing Report