Average-case quantum advantage with shallow circuits

Average-case quantum advantage with shallow circuits
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DOI:
10.4230/lipics.ccc.2019.21
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发表时间:
2018-10
期刊:
Proceedings of the 34th Computational Complexity Conference
影响因子:
--
通讯作者:
F. Gall
F. Gall
中科院分区:
其他
文献类型:
--
作者:
F. Gall

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最近,Bravyi,Gosset和König(Science 2018)证明了小深度量子电路和经典电路的计算能力之间的无条件分离。在本文中,我们在平均情况下展示了类似的分离,这为小深度量子计算的优越性提供了更有力的证据:我们构造了一个计算任务,可以通过具有有界扇入门的恒定深度的量子电路在所有输入上求解。(一个“浅”量子电路),并表明,任何经典电路与有界扇入门解决这个问题的非-可以忽略的一部分输入必须具有对数深度。我们的研究结果是通过引入一种技术,通过我们称之为扩展图的构造,从任何图中创建表现出全局量子相关性的量子态。Coudron,Stark和Vidick(arXiv:1810.04233)以及贝内Watts,Kothari,Schaeffer和Tal(STOC 2019)最近(独立)获得了类似的结果。
Recently Bravyi, Gosset and König (Science 2018) proved an unconditional separation between the computational powers of small-depth quantum and classical circuits for a relation. In this paper we show a similar separation in the average-case setting that gives stronger evidence of the superiority of small-depth quantum computation: we construct a computational task that can be solved on all inputs by a quantum circuit of constant depth with bounded-fanin gates (a "shallow" quantum circuit) and show that any classical circuit with bounded-fanin gates solving this problem on a non-negligible fraction of the inputs must have logarithmic depth. Our results are obtained by introducing a technique to create quantum states exhibiting global quantum correlations from any graph, via a construction that we call the extended graph. Similar results have been very recently (and independently) obtained by Coudron, Stark and Vidick (arXiv:1810.04233), and Bene Watts, Kothari, Schaeffer and Tal (STOC 2019).