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Updated: Jan 16, 2026
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
Published on: August 2, 2019
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Error mitigation with stabilized noise in superconducting quantum processors
Youngseok Kim1, Luke C G Govia2, Andrew Dane3
1IBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, NY, 10598, USA. kim.10017@osu.edu.
Nature Communications
|September 26, 2025
Summary
Tuning superconducting qubit interactions with defect two-level systems (TLS) stabilizes quantum device noise. This improved stability enhances the reliability of quantum error mitigation techniques for more accurate observable estimation.
Area of Science:
- Quantum Computing
- Quantum Error Mitigation
- Solid-State Quantum Processors
Background:
- Pre-fault tolerant quantum computers utilize error mitigation for accurate observable estimation.
- Noise fluctuations from qubit-TLS interactions destabilize quantum devices and degrade error mitigation accuracy.
Purpose of the Study:
- To experimentally demonstrate that tuning qubit-TLS interactions reduces noise instabilities.
- To show that reduced noise leads to more reliable error mitigation performance.
Main Methods:
- Experimental manipulation of qubit-TLS interactions.
- Characterization of noise stability and error mitigation performance.
- Controlled study of quasi-static noise effects.
Main Results:
- Tuning qubit-TLS interactions effectively reduces noise instabilities in superconducting qubits.
- Improved noise stability leads to enhanced performance and reliability of error mitigation techniques.
- Demonstrated a controlled platform for studying error mitigation under quasi-static noise.
Conclusions:
- Controlling qubit-TLS interactions is crucial for stable quantum hardware.
- This approach enables more dependable quantum error mitigation on solid-state processors.
- The findings are vital for advancing quantum applications at scale.
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