Soft decoding with analog measurement data raises repetition-code thresholds by 25% and reduces error rates up to 30x on superconducting qubits, with one byte per shot sufficient for near-optimal performance.
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Depolarizing noise doubles the number of non-analytic points in the Loschmidt echo at dynamical phase transition times in the transverse-field Ising model, inducing an inherent error that zero-noise extrapolation cannot mitigate.
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Soft information decoding with superconducting qubits
Soft decoding with analog measurement data raises repetition-code thresholds by 25% and reduces error rates up to 30x on superconducting qubits, with one byte per shot sufficient for near-optimal performance.
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Quantum simulation of dynamical phase transitions in noisy quantum devices
Depolarizing noise doubles the number of non-analytic points in the Loschmidt echo at dynamical phase transition times in the transverse-field Ising model, inducing an inherent error that zero-noise extrapolation cannot mitigate.