Classical simulability of constant-depth linear-optical circuits with noise

IF 8.3 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Changhun Oh
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Abstract

Noise is one of the main obstacles to realizing quantum devices that achieve a quantum computational advantage. A possible approach to minimize the noise effect is to employ shallow-depth quantum circuits since noise typically accumulates as circuit depth grows. In this work, we investigate the complexity of shallow-depth linear-optical circuits under the effects of photon loss and partial distinguishability. By establishing a correspondence between a linear-optical circuit and a bipartite graph, we show that the effects of photon loss and partial distinguishability are equivalent to removing the corresponding vertices. Using this correspondence and percolation theory, we prove that for constant-depth linear-optical circuits with single photons, there is a threshold of loss (noise) rate above which the linear-optical systems can be decomposed into smaller systems with high probability, which enables us to simulate the systems efficiently. Consequently, our result implies that even in shallow-depth circuits where noise is not accumulated enough, its effect may be sufficiently significant to make them efficiently simulable using classical algorithms due to its entanglement structure constituted by shallow-depth circuits.

Abstract Image

带噪声的等深度线性光电路的经典可模拟性
噪声是实现量子器件实现量子计算优势的主要障碍之一。最小化噪声影响的一种可能方法是采用浅深度量子电路,因为噪声通常随着电路深度的增加而积累。在这项工作中,我们研究了在光子损耗和部分可分辨性影响下的浅深度线性光电路的复杂性。通过建立线性光学电路与二部图之间的对应关系,我们证明了光子损耗和部分可分辨性的影响等同于去除相应的顶点。利用这种对应和渗透理论,我们证明了对于具有单光子的等深度线性光学电路,存在损耗(噪声)率阈值,超过该阈值,线性光学系统可以高概率地分解为更小的系统,从而使我们能够有效地模拟系统。因此,我们的结果表明,即使在噪声积累不够的浅深电路中,由于其由浅深电路构成的纠缠结构,其影响也可能足够显著,可以使用经典算法有效地模拟它们。
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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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