arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2409.02110quant-ph
收藏

中等规模量子系统中噪声相干性的估计

Estimating the coherence of noise in mid-scale quantum systems

Pedro Figueroa-Romero, Miha Papič, Adrian Auer, Inés de Vega

AI总结:

本文针对中等规模量子系统中噪声幺正性估计复杂度高的问题,提出一种高效协议并给出泡利噪声平均幺正性的上界,在5量子比特超导量子计算机和10量子比特模拟中验证了其可行性。

摘要:

虽然量子计算机的能力被普遍认为呈指数级增长,但人们常常忽视量子噪声机制的复杂度通常增长得更快。特别是,量化量子处理器上的指令是否接近幺正性,对于错误率具有重要影响,例如影响对其估计的置信度、高效缓解错误的能力,或它们与纠错中容错阈值的关系。然而,估计噪声的相干性或幺正性的复杂度通常随系统规模呈指数级扩展。在此,我们获得了泡利噪声平均幺正性的一个上界,并开发了一种协议,使我们能够高效且可行地估计数字量子设备中操作的平均幺正性,适用于中等规模的量子系统。我们通过在IQM Spark(TM)——一台5量子比特超导量子计算机上的实验执行,以及在多达10量子比特的模拟中展示了我们的结果,并讨论了将该技术扩展到任意规模的前景。

英文摘要:

While the power of quantum computers is commonly acknowledged to rise exponentially, it is often overlooked that the complexity of quantum noise mechanisms generally grows much faster. In particular, quantifying whether the instructions on a quantum processor are close to being unitary has important consequences concerning error rates, e.g., for the confidence in their estimation, the ability to mitigate them efficiently, or their relation to fault-tolerance thresholds in error correction. However, the complexity of estimating the coherence, or unitarity, of noise generally scales exponentially in system size. Here, we obtain an upper bound on the average unitarity of Pauli noise and develop a protocol allowing us to estimate the average unitarity of operations in a digital quantum device efficiently and feasibly for mid-size quantum systems. We demonstrate our results through both experimental execution on IQM Spark (TM), a 5-qubit superconducting quantum computer, and in simulation with up to 10 qubits, discussing the prospects for extending our technique to arbitrary scales.

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。

↑