arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2302.04543quant-phcond-mat.mes-hallmath-phmath.MPphysics.atom-ph
收藏

噪声量子比特(Qudit)与多量子比特:提升保真度的门效率条件

Noisy Qudit vs Multiple Qubits : Conditions on Gate Efficiency for Enhancing Fidelity

Denis Janković, Jean-Gabriel Hartmann, Mario Ruben, Paul-Antoine Hervieux

AI总结:

该研究比较了噪声环境下量子比特与多量子比特系统的平均门保真度损失,推导出关键门时间比曲线,并证明特定量子比特平台在门效率上可与最先进量子比特平台竞争。

摘要:

如今,多种新平台正在实现量子比特(qudit,即d能级量子信息基)用于量子信息处理(QIP)。因此,与更传统的量子比特平台相比,研究它们在QIP中的效率至关重要。我们提出了一项对比研究,比较了具有相同希尔伯特空间维数和噪声环境的量子比特系统与n量子比特系统的保真度损失(infidelity)标度。在Lindblad形式中,平均门保真度(AGI)对噪声的一阶响应被发现与门无关,我们在所比较的两个系统中解析计算了这一响应。这得出了它们各自门时间(以退相干时间单位计)之比的临界曲线$O(d^2/\log_2(d))$。该量表明这些系统上操作的时间效率。该曲线划分了每个系统AGI增长率高于另一个系统的区域。这一门效率条件被应用于不同的现有平台。结果发现,特定的量子比特平台具有与最先进的量子比特平台相当的门效率。数值模拟补充了这项工作,并允许讨论线性响应形式的适用性和局限性。

英文摘要:

Today, multiple new platforms are implementing qudits, $d$-level quantum bases of information, for Quantum Information Processing (QIP). It is therefore crucial to study their efficiencies for QIP compared to more traditional qubit platforms. We present a comparative study of the infidelity scalings of a qudit and $n$-qubit systems, both with identical Hilbert space dimensions and noisy environments. The first-order response of the Average Gate Infidelity (AGI) to the noise in the Lindblad formalism, which was found to be gate-independent, was calculated analytically in the two systems being compared. This yielded a critical curve $O(d^2/\log_2(d))$ of the ratio of their respective gate times in units of decoherence time. This quantity indicates how time-efficient operations on these systems are. The curve delineates regions where each system has a higher rate of increase of the AGI than the other. This condition on gate efficiency was applied to different existing platforms. It was found that specific qudit platforms possess gate efficiencies competitive with state-of-the-art qubit platforms. Numerical simulations complemented this work and allowed for discussion of the applicability and limits of the linear response formalism.

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。

↑