偏置噪声量子比特的可扩展噪声量子电路

IF 8.3 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Marco Fellous-Asiani, Moein Naseri, Chandan Datta, Alexander Streltsov, Michał Oszmaniec
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引用次数: 0

摘要

在这项工作中,我们考虑了只受比特翻转错误影响的偏噪声量子比特,这是由现有的稳定cat量子比特系统驱动的。这个性质允许我们设计一类包含纠缠门和某些非clifford门的噪声Hadamard测试,它可以可靠地进行,算法重复的开销只有一个多项式。另一方面,我们还发现经典算法能够有效地模拟Hadamard测试的特定变体的有噪声和无噪声版本。我们建议使用这些算法作为大型电路规模下噪声偏置的基准。在完整的计算任务中检查偏差使我们的基准对串扰或时间相关误差敏感,这些误差通常在单个门断层扫描中是不可见的。对于现实的噪声模型,相位翻转将不可忽略,但在Pauli-Twirling近似中,我们表明我们的基准可以检查包含多达106门的电路的正确性,比不利用噪声偏置的电路大几个数量级。我们的基准适用于任意噪声偏差,而不是泡利模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Scalable noisy quantum circuits for biased-noise qubits

Scalable noisy quantum circuits for biased-noise qubits

In this work, we consider biased-noise qubits affected only by bit-flip errors, which is motivated by existing systems of stabilized cat qubits. This property allows us to design a class of noisy Hadamard tests involving entangling and certain non-Clifford gates, which can be conducted reliably with only a polynomial overhead in algorithm repetitions. On the flip side, we also found classical algorithms able to efficiently simulate both the noisy and noiseless versions of our specific variants of the Hadamard test. We propose to use these algorithms as a benchmark of the biasness of the noise at the scale of large circuits. The bias being checked on a full computational task makes our benchmark sensitive to crosstalk or time-correlated errors, which are usually invisible from individual gate tomography. For realistic noise models, phase-flip will not be negligible, but in the Pauli-Twirling approximation, we show that our benchmark could check the correctness of circuits containing up to 106 gates, several orders of magnitude larger than circuits not exploiting a noise-bias. Our benchmark is applicable for an arbitrary noise-bias, beyond Pauli models.

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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
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