biostudies-literatureUnknown16(1)Kim YPre-fault tolerant quantum computers have already demonstrated the ability to estimate observable values accurately, at a scale beyond brute-force classical computation. This has been enabled by error mitigation techniques that often rely on a representative model of the device noise. However, learning and maintaining these models is complicated by fluctuations in the noise over unpredictable time scales, for instance, arising from resonant interactions between superconducting qubits and defect two-level systems (TLS). Such interactions affect the stability and uniformity of device performance as a whole, but also affect the noise model accuracy, leading to incorrect observable estimation. Here, we experimentally demonstrate that tuning of the qubit-TLS interactions helps reduce noise instNature communications8439https://www.ebi.ac.uk/biostudies/studies/S-EPMC12474874biostudies-literatureError mitigation with stabilized noise in superconducting quantum processors.PMC12474874van den Berg EGovia LCGDane AZajac DMStabile ALiu YKandala APritchett EBalakrishnan KMitchell BKim YKeefe GStehlik JfalseError mitigation with stabilized noise in superconducting quantum processors.Pre-fault tolerant quantum computers have already demonstrated the ability to estimate observable values accurately, at a scale beyond brute-force classical computation. This has been enabled by error mitigation techniques that often rely on a representative model of the device noise. However, learning and maintaining these models is complicated by fluctuations in the noise over unpredictable time scales, for instance, arising from resonant interactions between superconducting qubits and defect two-level systems (TLS). Such interactions affect the stability and uniformity of device performance as a whole, but also affect the noise model accuracy, leading to incorrect observable estimation. Here, we experimentally demonstrate that tuning of the qubit-TLS interactions helps reduce noise inst2025-01-01T00:00:00Z2025 Sep2026-06-06T17:43:15.368Z2026-06-03T03:10:33.042ZS-EPMC124748744100623110.1038/s41467-025-62820-9