Characterizing two-qubit gates with dynamical decoupling
ORAL
Abstract
Precision quantum estimation in the presence of noise remains a serious practical challenge for calibrating state-of-the-art quantum processors. Noise processes, such as flux noise in superconducting qubits, introduce fluctuations that obscure the true values of system parameters and hinder coherent amplification. We demonstrate a novel characterization technique that enables precise estimation of select unitary parameters for two-qubit gates by applying dynamical decoupling to suppress low-frequency noise. Our method exhibits order-of-magnitude improvements in parameter precision, is efficient in the number of experiments required, adapts to a variety of target two-qubit gates, and is robust to implementation imperfections.
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Presenters
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Jonathan A Gross
Google LLC
Authors
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Jonathan A Gross
Google LLC
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Zhang Jiang
Google LLC
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Elie Genois
Universite de Sherbrooke
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Dripto M Debroy
Google Quantum AI
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Ze-Pei Cian
University of Maryland, College Park
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Wojciech Mruczkiewicz
Google Quantum AI