Precision Reconstruction of Qudits Accounting for Readout Errors via the Confusion Matrix

We present a method for reconstructing multilevel quantum states (qudits) that explicitly accounts for readout errors. Our algorithm relies on the confusion matrix, treated as a stochastic transition matrix of a Markov chain. We pay special attention to the model with uniformly distributed errors and to the critical error probability at which the system completely loses the ability to reconstruct states. The reported results extend our earlier approach to high-precision control of qudits using fuzzy (unsharp) quantum measurements under decoherence.

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Publication Details

Journal
Russian Microelectronics
Published
2025-12-01
DOI
https://doi.org/10.1134/s1063739725601614
Primary Topic
Benford’s Law and Fraud Detection
Type
article
Field-Weighted Citation Impact
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article

Precision Reconstruction of Qudits Accounting for Readout Errors via the Confusion Matrix

Yu. I. Bogdanov, V. F. Lukichev, N. A. Bogdanova, K. B. Koksharov
Russian Microelectronics
Benford’s Law and Fraud Detection
article

Precision Reconstruction of Qudits Accounting for Readout Errors via the Confusion Matrix

Yu. I. Bogdanov, V. F. Lukichev, N. A. Bogdanova, K. B. Koksharov
article en

Abstract

We present a method for reconstructing multilevel quantum states (qudits) that explicitly accounts for readout errors. Our algorithm relies on the confusion matrix, treated as a stochastic transition matrix of a Markov chain. We pay special attention to the model with uniformly distributed errors and to the critical error probability at which the system completely loses the ability to reconstruct states. The reported results extend our earlier approach to high-precision control of qudits using fuzzy (unsharp) quantum measurements under decoherence.

Russian MicroelectronicsVol. 54(8)
National Research University of Electronic Technology (RU), Kurchatov Institute (RU)
Openalex Percentile: Top 16%
Benford’s Law and Fraud Detection
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