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arXiv 2212.04496quant-ph
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超导transmon的通用qudit门合成

Universal qudit gate synthesis for transmons

Laurin E. Fischer, Alessandro Chiesa, Francesco Tacchino, Daniel J. Egger, Stefano Carretta, Ivano Tavernelli

AI总结:

该工作设计基于transmon的qudit量子处理器,提出含交叉共振纠缠门的通用门集,实现高保真门合成与嵌入式纠错,证明通用qudit控制在当前架构中可行。

摘要:

基于门的量子计算机通常以称为量子比特的二维单元来编码和处理信息。改用$d$维qudit可能带来内在优势,包括更高效的电路合成、问题定制的编码和嵌入式纠错。在本工作中,我们设计了一种基于超导qudit的量子处理器,其中transmon量子比特的逻辑空间被扩展到更高的激发能级。我们提出一个通用门集,包含一个双qudit交叉共振纠缠门,在$d=4$的ququart情形下,我们预测其保真度超过$99\%$,且采用现实实验参数。此外,我们提出一种分解例程,将一般qudit酉操作编译为这些基本门,所需的纠缠门数量少于量子比特替代方案。作为概念验证应用,我们数值演示了针对噪声量子硬件的${\ m SU}(16)$门合成,以及一个嵌入式纠错序列,该序列将量子比特存储器编码在transmon ququart中,以抵御纯退相位噪声。我们得出结论:通用qudit控制——作为超导量子信息处理操作工具箱的一个宝贵扩展——在当前基于transmon的架构中已可实现,并对近期和长期硬件都有应用价值。

英文摘要:

Gate-based quantum computers typically encode and process information in two-dimensional units called qubits. Using $d$-dimensional qudits instead may offer intrinsic advantages, including more efficient circuit synthesis, problem-tailored encodings and embedded error correction. In this work, we design a superconducting qudit-based quantum processor wherein the logical space of transmon qubits is extended to higher-excited levels. We propose a universal gate set featuring a two-qudit cross-resonance entangling gate, for which we predict fidelities beyond $99\%$ in the $d=4$ case of ququarts with realistic experimental parameters. Furthermore, we present a decomposition routine that compiles general qudit unitaries into these elementary gates, requiring fewer entangling gates than qubit alternatives. As proof-of-concept applications, we numerically demonstrate the synthesis of ${\rm SU}(16)$ gates for noisy quantum hardware and an embedded error correction sequence that encodes a qubit memory in a transmon ququart to protect against pure dephasing noise. We conclude that universal qudit control -- a valuable extension to the operational toolbox of superconducting quantum information processing -- is within reach of current transmon-based architectures and has applications to near-term and long-term hardware.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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