Complexity-Theoretic Foundations of Quantum Supremacy Experiments

S. Aaronson, Lijie Chen
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引用次数: 288

Abstract

In the near future, there will likely be special-purpose quantum computers with 40--50 high-quality qubits. This paper lays general theoretical foundations for how to use such devices to demonstrate "quantum supremacy": that is, a clear quantum speedup for some task, motivated by the goal of overturning the Extended Church-Turing Thesis as confidently as possible. First, we study the hardness of sampling the output distribution of a random quantum circuit, along the lines of a recent proposal by the Quantum AI group at Google. We show that there's a natural average-case hardness assumption, which has nothing to do with sampling, yet implies that no polynomial-time classical algorithm can pass a statistical test that the quantum sampling procedure's outputs do pass. Compared to previous work -- for example, on BosonSampling and IQP -- the central advantage is that we can now talk directly about the observed outputs, rather than about the distribution being sampled. Second, in an attempt to refute our hardness assumption, we give a new algorithm, inspired by Savitch's Theorem, for simulating a general quantum circuit with n qubits and depth d in polynomial space and dO(n) time. We then discuss why this and other known algorithms fail to refute our assumption. Third, resolving an open problem of Aaronson and Arkhipov, we show that any strong quantum supremacy theorem -- of the form "if approximate quantum sampling is classically easy, then the polynomial hierarchy collapses"-- must be non-relativizing. This sharply contrasts with the situation for exact sampling. Fourth, refuting a conjecture by Aaronson and Ambainis, we show that there is a sampling task, namely Fourier Sampling, with a 1 versus linear separation between its quantum and classical query complexities. Fifth, in search of a "happy medium" between black-box and non-black-box arguments, we study quantum supremacy relative to oracles in P/poly. Previous work implies that, if one-way functions exist, then quantum supremacy is possible relative to such oracles. We show, conversely, that some computational assumption is needed: if SampBPP = SampBQP and NP ⊆ BPP, then quantum supremacy is impossible relative to oracles with small circuits.
量子至上实验的复杂性理论基础
在不久的将来,可能会出现具有40- 50个高质量量子比特的专用量子计算机。本文为如何使用这些设备来证明“量子霸权”奠定了一般的理论基础:即在尽可能自信地推翻扩展丘奇-图灵论题的目标下,对某些任务进行明确的量子加速。首先,我们研究了随机量子电路输出分布采样的难度,按照谷歌量子人工智能小组最近提出的建议。我们表明,存在一个自然的平均情况硬度假设,这与采样无关,但意味着没有多项式时间经典算法可以通过量子采样过程输出的统计测试。与之前的工作(例如,在BosonSampling和IQP上)相比,中心优势是我们现在可以直接讨论观察到的输出,而不是被采样的分布。其次,为了反驳我们的硬度假设,我们给出了一个受Savitch定理启发的新算法,用于在多项式空间和dO(n)时间中模拟具有n个量子位和深度d的一般量子电路。然后我们讨论为什么这个和其他已知的算法不能反驳我们的假设。第三,解决Aaronson和Arkhipov的一个公开问题,我们证明了任何强量子至上定理——“如果近似量子抽样是经典的容易的,那么多项式层次崩溃”的形式——必须是非相对化的。这与精确抽样的情况形成鲜明对比。第四,反驳Aaronson和Ambainis的猜想,我们表明存在一个采样任务,即傅立叶采样,其量子查询复杂性和经典查询复杂性之间具有1相对线性的分离。第五,为了寻找黑箱和非黑箱论证之间的“中介物”,我们研究了量子霸权相对于P/poly中的预言。先前的研究表明,如果单向函数存在,那么相对于这样的预言,量子霸权是可能的。相反,我们证明,需要一些计算假设:如果SampBPP = SampBQP和NP,那么相对于具有小电路的预言机,量子霸权是不可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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