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Gothenburg and Chalmers Researchers Develop Modular Graph Neural

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…

Source: Quantum Computing Report · Opens in new tab