arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2003.13163quant-ph
收藏

一维噪声随机量子线路的高效经典模拟

Efficient classical simulation of noisy random quantum circuits in one dimension

Kyungjoo Noh, Liang Jiang, Bill Fefferman

摘要:

了解噪声中尺度量子器件的计算能力对量子信息科学具有重要的基础和实际意义。在这里,我们解决的问题,是否错误未校正的噪声量子计算机可以提供计算优势超过经典计算机。具体来说,我们研究了噪声随机电路采样在一个维度(或1D噪声RCS)作为一个简单的模型,探索噪声的量子器件的计算能力的影响。特别地,我们通过矩阵乘积算子(MPO)模拟了一维噪声随机量子线路的实时动力学,并使用我们称之为MPO纠缠熵的度量来表征一维噪声量子系统的计算能力。选择后一个度量是因为它决定了经典MPO模拟的成本。我们数值证明,对于我们考虑的两个量子比特的门错误率,存在一个特征系统大小,在此之上添加更多的量子比特不会带来一维噪声系统的经典MPO模拟成本的指数增长。具体而言,我们表明,上述特征系统的大小,有一个最佳的电路深度,独立的系统大小,MPO纠缠熵最大化。最重要的是,最大可实现的MPO纠缠熵是由一个常数,只依赖于门错误率,而不是对系统的大小。我们还提供了一个启发式的分析,得到的最大可实现的MPO纠缠熵作为门错误率的函数的缩放。所获得的缩放表明,虽然MPO模拟的成本不会在系统大小中以指数方式增加,但它确实会随着门错误率的降低而以指数方式增加,这可能使得经典模拟实际上不可行,即使是最先进的超级计算机。

英文摘要:

Understanding the computational power of noisy intermediate-scale quantum (NISQ) devices is of both fundamental and practical importance to quantum information science. Here, we address the question of whether error-uncorrected noisy quantum computers can provide computational advantage over classical computers. Specifically, we study noisy random circuit sampling in one dimension (or 1D noisy RCS) as a simple model for exploring the effects of noise on the computational power of a noisy quantum device. In particular, we simulate the real-time dynamics of 1D noisy random quantum circuits via matrix product operators (MPOs) and characterize the computational power of the 1D noisy quantum system by using a metric we call MPO entanglement entropy. The latter metric is chosen because it determines the cost of classical MPO simulation. We numerically demonstrate that for the two-qubit gate error rates we considered, there exists a characteristic system size above which adding more qubits does not bring about an exponential growth of the cost of classical MPO simulation of 1D noisy systems. Specifically, we show that above the characteristic system size, there is an optimal circuit depth, independent of the system size, where the MPO entanglement entropy is maximized. Most importantly, the maximum achievable MPO entanglement entropy is bounded by a constant that depends only on the gate error rate, not on the system size. We also provide a heuristic analysis to get the scaling of the maximum achievable MPO entanglement entropy as a function of the gate error rate. The obtained scaling suggests that although the cost of MPO simulation does not increase exponentially in the system size above a certain characteristic system size, it does increase exponentially as the gate error rate decreases, possibly making classical simulation practically not feasible even with state-of-the-art supercomputers.

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。

↑