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This summary is machine-generated.

We developed a new quantum circuit benchmark to precisely measure errors in mesoscopic integrated circuits. This method uses an error syndrome random walk to quantify fidelity and reveal noise impacts for improved quantum metrology.

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Area of Science:

  • Quantum Computing
  • Mesoscopic Physics
  • Quantum Information Science

Background:

  • Achieving high fidelity in mesoscopic integrated circuits is crucial for controlling quantum systems.
  • Rare errors and component crosstalk challenge accurate validation of quantum circuit performance and error models.

Purpose of the Study:

  • To introduce and implement a novel circuit-level benchmark for quantifying quantum circuit fidelity.
  • To analyze the impact of correlated noise on achievable fidelity in quantum systems.
  • To establish a rigorous metrology for evaluating quantum circuits.

Main Methods:

  • Modeling quantum circuit fidelity as a random walk of an error syndrome using an accumulating probe.
  • Employing statistical consistency analysis of error count distributions to reveal correlated noise contributions.
  • Applying the benchmark to a high-fidelity electron transfer circuit in quantum dots.

Main Results:

  • Robust estimation of the full circuit error rate and its environmental noise variability using precise charge counting.
  • Identification of correlated noise sources limiting achievable fidelity.
  • Observation of a memory effect in the random walk as circuit clock frequency increases.

Conclusions:

  • The proposed benchmark enables precise error rate estimation and noise analysis in quantum circuits.
  • This methodology advances rigorous metrology for mesoscopic integrated circuits.
  • Understanding noise contributions is key to improving fidelity in quantum information processing.