Quasiprobabilistic Readout Correction of Midcircuit Measurements for Adaptive Feedback via Measurement Randomized Compiling Article Swipe
Akel Hashim
,
Arnaud Carignan-Dugas
,
Larry Chen
,
Christian Jünger
,
Neelay Fruitwala
,
Yilun Xu
,
Gang Huang
,
Joel J. Wallman
,
Irfan Siddiqi
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1103/prxquantum.6.010307
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1103/prxquantum.6.010307
Quantum measurements are a fundamental component of quantum computing. However, on present-day quantum computers, measurements can be more error prone than quantum gates and are susceptible to nonunital errors as well as nonlocal correlations due to measurement crosstalk. While readout errors can be mitigated in postprocessing, this is inefficient in the number of qubits due to a combinatorially large number of possible states that need to be characterized. In this work, we show that measurement errors can be tailored into a simple stochastic error model using randomized compiling, enabling the efficient mitigation of readout errors via quasiprobability distributions reconstructed from the measurement of a single preparation state in an exponentially large confusion matrix. We demonstrate the scalability and power of this approach by correcting readout errors without matrix inversion on a large number of different preparation states applied to a register of eight superconducting transmon qubits. Moreover, we show that this method can be extended to midcircuit measurements used for active feedback via quasiprobabilistic error cancellation, and we demonstrate the correction of measurement errors on an ancilla qubit used to detect and actively correct bit-flip errors on an entangled memory qubit. Our approach enables the correction of readout errors on large numbers of qubits and offers a strategy for correcting readout errors in adaptive circuits in which the results of midcircuit measurements are used to perform conditional operations on nonlocal qubits in real time.
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- Language
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Quasiprobabilistic Readout Correction of Midcircuit Measurements for Adaptive Feedback via Measurement Randomized CompilingWork title
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2025Year of publication
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2025-01-10Full publication date if available
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Akel Hashim, Arnaud Carignan-Dugas, Larry Chen, Christian Jünger, Neelay Fruitwala, Yilun Xu, Gang Huang, Joel J. Wallman, Irfan SiddiqiList of authors in order
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goldOpen access status per OpenAlex
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https://doi.org/10.1103/prxquantum.6.010307Direct OA link when available
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5Total citation count in OpenAlex
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