Measuring error rates of mid-circuit measurements

Daniel Hothem (), Jordan Hines, Charles Baldwin, Dan Gresh, Robin Blume-Kohout and Timothy Proctor
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Daniel Hothem: Sandia National Laboratories
Jordan Hines: University of California
Charles Baldwin: 303 S. Technology Ct.
Dan Gresh: 303 S. Technology Ct.
Robin Blume-Kohout: Sandia National Laboratories
Timothy Proctor: Sandia National Laboratories

Nature Communications, 2025, vol. 16, issue 1, 1-9

Abstract: Abstract High-fidelity mid-circuit measurements, which read out the state of specific qubits in a multiqubit processor without destroying them or disrupting their neighbors, are a critical component for useful quantum computing. They enable fault-tolerant quantum error correction, dynamic circuits, and other paths to solving classically intractable problems. But there are few methods to assess their performance comprehensively. In this work, we address this gap by introducing the first randomized benchmarking protocol that measures the rate at which mid-circuit measurements induce errors in many-qubit circuits. Using this protocol, we detect and eliminate previously undetected measurement-induced crosstalk in a 20-qubit trapped-ion quantum computer. Then, we use the same protocol to measure the rate of measurement-induced crosstalk error on a 27-qubit IBM Q processor, and quantify how much of that error is eliminated by dynamical decoupling.

Date: 2025
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DOI: 10.1038/s41467-025-60923-x

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