Neural decoder for quantum LDPC codes achieves ~10^{-10} logical error at 0.1% physical error with 17x improvement and high throughput, enabling practical fault tolerance at modest code sizes.
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PAEMS is a new adaptive qubit error model that reduces timelike, spacelike, and spacetime error correlations by 19.5×, 9.3×, and 5.2× on IBM QPUs while outperforming Google's SI1000 model by 58-73% across multiple platforms.
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Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
Neural decoder for quantum LDPC codes achieves ~10^{-10} logical error at 0.1% physical error with 17x improvement and high throughput, enabling practical fault tolerance at modest code sizes.
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PAEMS: Precise and Adaptive Error Model for Superconducting Quantum Processors
PAEMS is a new adaptive qubit error model that reduces timelike, spacelike, and spacetime error correlations by 19.5×, 9.3×, and 5.2× on IBM QPUs while outperforming Google's SI1000 model by 58-73% across multiple platforms.