Novel noise characterization methods combining regularized cycle benchmarking and 2D tensor-network tomography enable error-mitigated superconducting quantum processors to achieve <13% error on circuits with 400 CZ gates.

#NoiseCharacterization #QuantumErrorMitigation #SuperconductingQubits

Study compares third-party quantum error mitigation stacks against IBM's native execution on 156-qubit Heron hardware. Q-CTRL and Qedma QESEM achieved 3.1× and 4.7× error reduction respectively, with distinct accuracy-runtime trade-offs.

#QuantumErrorMitigation #QuantumHardware #QuantumComputing

Hybrid quantum-classical error mitigation technique combining tensor networks with belief propagation achieves higher accuracy than classical or quantum-only methods on discrete time crystals with 65 qubits, demonstrating 5.6× GPU speedup.

#QuantumErrorMitigation #TensorNetworks #Research

Dominance-aware clustering method advances quantum error mitigation for optimization algorithms. Uses classical post-processing to reliably recover high-quality bitstrings with logarithmic shot complexity, outperforming existing techniques.

#QuantumErrorMitigation #QuantumOptimization #Research