Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

IEEE Conference on Decision and Control (CDC)

Iterative Deconvolution for Calibrating Quantum Control Pulses

Xi Cao, Bing Chu, Haijin Ding, Re-Bing Wu

Published Dec 1, 2019• 0 citations
Publisher

Abstract

In experimental manipulation of quantum systems, the control precision is always hindered by pulse distortion induced by the applied electronic system, when signals are delivered to the target that is often placed in a low-temperature and vacuum chamber. To mitigate such errors, deconvolution is effective by compensating the identified linear convolution. However, there is always residual error because the linear model can never be precise and non-linear distortion is also present. In this paper, we propose an iterative deconvolution scheme that repeatedly applies the deconvolution operation using the error signal. Theoretically, such scheme can correct arbitrary residual model errors, whose performance is up to accuracy of the identified models. Simulation results show its effectiveness on correcting model errors.

DOI
10.1109/cdc40024.2019.9029643

Related papers

Learning to Calibrate Quantum Control Pulses by Iterative Deconvolution

Xi Cao, Bing Chu, Yu-xi Liu +2 more

In experimental control of quantum systems, the precision is often hindered by imperfect applied electronics that distort pulses delivered to target quantum devices. To mitigate such error, the deconvolution method is commonly used for compensating the distortion via a convolutional model. However, its effectiveness is limited by model inaccuracies (e.g., imprecise parameters or unmodeled distortion dynamics). In this article, we propose a learning-based scheme to eliminate the residual calibration error by repeatedly applying the deconvolution operations. The resulting iterative deconvolution method is shown by simulation examples to be able to correct both linear and nonlinear model errors to the highest precision allowed by available finite sampling rates, and the intersampling error caused by finite sampling rate can be suppressed by actively introducing nonlinear components in the control electronics. The proposed method is also experimentally applied on a superconducting platform, which demonstrates improved performance than the noniterative deconvolution methods.

arXiv:1807.01518•IEEE Transactions on Control Systems Technology•Mar 5, 2021•3 citations

Title: Universal Quantum Error Correction for Non-Linear Quantum Systems

Jincheng Zhang

The inherent fragility of quantum systems necessitates robust error correction to ensure reliable computation. Current error correction techniques often struggle with complex, non-linear quantum systems, demanding substantial overhead and hindering performance. This paper proposes a novel quantum error correction scheme predicated on entanglement and quantum correlations, aiming to minimize overhead while preserving high accuracy. The core mechanism centers around a dynamically adjusted encoding scheme that leverages these correlations to proactively detect and correct errors. We present a theoretical framework outlining the scheme's operation, including key mathematical operations and analysis. We demonstrate the effectiveness of this approach through simulations, illustrating significant reductions in overhead compared to existing methods for specific non-linear quantum systems. The study also explores the potential for adaptation and scalability to larger systems.

•Aug 31, 2026•0 citations

Self-Consistent Calibration of Quantum-Gate Sets

Pascal Cerfontaine, René Otten, Hendrik Bluhm

The precise and automated calibration of quantum gates is a key requirement for building a reliable quantum computer. Unlike errors from decoherence, systematic errors can in principle be completely removed by tuning experimental parameters. Here, we present an iterative calibration routine, which can remove systematic gate errors on several qubits. A central ingredient is the construction of pulse sequences that extract independent indicators for every linearly independent error generator. We show that decoherence errors only moderately degrade the achievable infidelity due to systematic errors. Furthermore, we investigate the convergence properties of our approach by performing simulations for a specific qubit encoded in a pair of spins. Our results indicate that a gate set with 230 gate parameters can be calibrated in about ten iterations, after which incoherent errors limit the gate fidelity.

•Jan 1, 2020•14 citations

Self-Consistent Calibration of Quantum-Gate Sets

Pascal Cerfontaine, René Otten, Hendrik Bluhm

The precise and automated calibration of quantum gates is a key requirement for building a reliable quantum computer. Unlike errors from decoherence, systematic errors can in principle be completely removed by tuning experimental parameters. Here, we present an iterative calibration routine, which can remove systematic gate errors on several qubits. A central ingredient is the construction of pulse sequences that extract independent indicators for every linearly independent error generator. We show that decoherence errors only moderately degrade the achievable infidelity due to systematic errors. Furthermore, we investigate the convergence properties of our approach by performing simulations for a specific qubit encoded in a pair of spins. Our results indicate that a gate set with 230 gate parameters can be calibrated in about ten iterations, after which incoherent errors limit the gate fidelity.

arXiv:1906.00950•Physical Review Applied•Apr 28, 2020•17 citations

Quantum Feedback Loop for Non-Linear Dynamical Systems

Jincheng Zhang

Quantum feedback loops offer a promising avenue for enhancing the stability and response time of non-linear dynamical systems. This paper investigates the application of quantum error correction to create a dynamically adjusting feedback mechanism that optimizes the system's state. We explore a novel quantum algorithm designed to iteratively refine the system's parameters, mitigating the effects of inherent noise and enhancing robustness. The core claim is that this approach will outperform traditional control strategies in the context of complex, non-linear systems. We present a theoretical framework and preliminary experimental results demonstrating the potential of this quantum-enhanced control method.

•Sep 3, 2026•0 citations

Universal scalable characterization and correction of pulse distortions in controlled quantum systems

Liang-Liang Guo, Peng Duan, Sheng Zhang +9 more

In quantum computation, control signals are adversely affected by distortion due to nonidealities in control chains. In order to implement high-fidelity digital and analog quantum operations, one must characterize the distortion and compensate for it. Here, we propose and experimentally verify an extensible method to model the behavior of control lines with the system function and correct it with digital filters. We correct the distortion of the superconducting-qubit flux control lines within a precision of $1\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}3}$, which ensures gate fidelity free of the limit of pulse distortion. For the purpose of more accurate and scalable parameter extraction of the low-temperature line response, we employ an optimization-based protocol and the convergence is fast by setting the result of adjacent control lines with the same setup as the initial values. The techniques presented here improve distortion calibration efficiency and enable distortion-free operations, which paves the way for high-precision control of quantum computation and quantum simulation.

Physical Review Applied•Jun 26, 2024•10 citations
In experimental manipulation of quantum systems, the control precision is always hindered by pulse distortion induced by the applied electronic system, when signals are delivered to the target that is often placed in a low-temperature and vacuum chamber. To mitigate such errors, deconvolution is effective by compensating the identified linear convolution. However, there is always residual error because the linear model can never be precise and non-linear distortion is also present. In this paper, we propose an iterative deconvolution scheme that repeatedly applies the deconvolution operation using the error signal. Theoretically, such scheme can correct arbitrary residual model errors, whose performance is up to accuracy of the identified models. Simulation results show its effectiveness on correcting model errors.
In experimental control of quantum systems, the precision is often hindered by imperfect applied electronics that distort pulses delivered to target quantum devices. To mitigate such error, the deconvolution method is commonly used for compensating the distortion via a convolutional model. However, its effectiveness is limited by model inaccuracies (e.g., imprecise parameters or unmodeled distortion dynamics). In this article, we propose a learning-based scheme to eliminate the residual calibration error by repeatedly applying the deconvolution operations. The resulting iterative deconvolution method is shown by simulation examples to be able to correct both linear and nonlinear model errors to the highest precision allowed by available finite sampling rates, and the intersampling error caused by finite sampling rate can be suppressed by actively introducing nonlinear components in the control electronics. The proposed method is also experimentally applied on a superconducting platform, which demonstrates improved performance than the noniterative deconvolution methods.
The inherent fragility of quantum systems necessitates robust error correction to ensure reliable computation. Current error correction techniques often struggle with complex, non-linear quantum systems, demanding substantial overhead and hindering performance. This paper proposes a novel quantum error correction scheme predicated on entanglement and quantum correlations, aiming to minimize overhead while preserving high accuracy. The core mechanism centers around a dynamically adjusted encoding scheme that leverages these correlations to proactively detect and correct errors. We present a theoretical framework outlining the scheme's operation, including key mathematical operations and analysis. We demonstrate the effectiveness of this approach through simulations, illustrating significant reductions in overhead compared to existing methods for specific non-linear quantum systems. The study also explores the potential for adaptation and scalability to larger systems.
The precise and automated calibration of quantum gates is a key requirement for building a reliable quantum computer. Unlike errors from decoherence, systematic errors can in principle be completely removed by tuning experimental parameters. Here, we present an iterative calibration routine, which can remove systematic gate errors on several qubits. A central ingredient is the construction of pulse sequences that extract independent indicators for every linearly independent error generator. We show that decoherence errors only moderately degrade the achievable infidelity due to systematic errors. Furthermore, we investigate the convergence properties of our approach by performing simulations for a specific qubit encoded in a pair of spins. Our results indicate that a gate set with 230 gate parameters can be calibrated in about ten iterations, after which incoherent errors limit the gate fidelity.
The precise and automated calibration of quantum gates is a key requirement for building a reliable quantum computer. Unlike errors from decoherence, systematic errors can in principle be completely removed by tuning experimental parameters. Here, we present an iterative calibration routine, which can remove systematic gate errors on several qubits. A central ingredient is the construction of pulse sequences that extract independent indicators for every linearly independent error generator. We show that decoherence errors only moderately degrade the achievable infidelity due to systematic errors. Furthermore, we investigate the convergence properties of our approach by performing simulations for a specific qubit encoded in a pair of spins. Our results indicate that a gate set with 230 gate parameters can be calibrated in about ten iterations, after which incoherent errors limit the gate fidelity.
Quantum feedback loops offer a promising avenue for enhancing the stability and response time of non-linear dynamical systems. This paper investigates the application of quantum error correction to create a dynamically adjusting feedback mechanism that optimizes the system's state. We explore a novel quantum algorithm designed to iteratively refine the system's parameters, mitigating the effects of inherent noise and enhancing robustness. The core claim is that this approach will outperform traditional control strategies in the context of complex, non-linear systems. We present a theoretical framework and preliminary experimental results demonstrating the potential of this quantum-enhanced control method.
In quantum computation, control signals are adversely affected by distortion due to nonidealities in control chains. In order to implement high-fidelity digital and analog quantum operations, one must characterize the distortion and compensate for it. Here, we propose and experimentally verify an extensible method to model the behavior of control lines with the system function and correct it with digital filters. We correct the distortion of the superconducting-qubit flux control lines within a precision of $1\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}3}$, which ensures gate fidelity free of the limit of pulse distortion. For the purpose of more accurate and scalable parameter extraction of the low-temperature line response, we employ an optimization-based protocol and the convergence is fast by setting the result of adjacent control lines with the same setup as the initial values. The techniques presented here improve distortion calibration efficiency and enable distortion-free operations, which paves the way for high-precision control of quantum computation and quantum simulation.