Dynamic compensation for pump-induced frequency shift in Kerr-cat qubit initialization
Yifang Xu, Ziyue Hua, Weiting Wang, Yuwei Ma, Ming Li, Jiajun Chen,, Jie Zhou, Xiaoxuan Pan, Lintao Xiao, Hongwei Huang, Weizhou Cai, Hao Ai,, Yu-xi Liu, Chang-Ling Zou, and Luyan Sun

TL;DR
This paper introduces a dynamic compensation technique for pump-induced frequency shifts in Kerr-cat qubits, significantly improving their initialization fidelity and advancing their practical use in scalable quantum computing.
Contribution
It presents a novel dynamic compensation method and a specialized device to enhance Kerr-cat qubit initialization fidelity, addressing a key challenge in fault-tolerant quantum computation.
Findings
Initialization fidelity improved from 57% to 78%.
Projected fidelity reaches 91% after error correction.
Provides insights into adiabatic dynamics of Kerr-cat systems.
Abstract
The noise-biased Kerr-cat qubit is an attractive candidate for fault-tolerant quantum computation; however, its initialization faces challenges due to the squeezing pump-induced frequency shift (PIFS). Here, we propose and demonstrate a dynamic compensation method to mitigate the effect of PIFS during the Kerr-cat qubit initialization. Utilizing a novel nonlinearity-engineered triple-loop SQUID device, we realize a stabilized Kerr-cat qubit and validate the advantages of the dynamic compensation method by improving the initialization fidelity from 57% to 78%, with a projected fidelity of 91% after excluding state preparation and measurement errors. Our results not only advance the practical implementation of Kerr-cat qubits, but also provide valuable insights into the fundamental adiabatic dynamics of these systems. This work paves the way for scalable quantum processors that leverage…
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Taxonomy
TopicsQuantum and electron transport phenomena · Quantum Information and Cryptography · Quantum optics and atomic interactions
