On the Need for Large Quantum Depth

IF 2.3 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Journal of the ACM Pub Date : 2022-11-23 DOI:10.1145/3570637
Nai-Hui Chia, Kai-Min Chung, C. Lai
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引用次数: 0

Abstract

Near-term quantum computers are likely to have small depths due to short coherence time and noisy gates. A natural approach to leverage these quantum computers is interleaving them with classical computers. Understanding the capabilities and limits of this hybrid approach is an essential topic in quantum computation. Most notably, the quantum Fourier transform can be implemented by a hybrid of logarithmic-depth quantum circuits and a classical polynomial-time algorithm. Therefore, it seems possible that quantum polylogarithmic depth is as powerful as quantum polynomial depth in the presence of classical computation. Indeed, Jozsa conjectured that “Any quantum polynomial-time algorithm can be implemented with only O(log n) quantum depth interspersed with polynomial-time classical computations.” This can be formalized as asserting the equivalence of BQP and “BQNCBPP.” However, Aaronson conjectured that “there exists an oracle separation between BQP and BPPBQNC.” BQNCBPP and BPPBQNC are two natural and seemingly incomparable ways of hybrid classical-quantum computation. In this work, we manage to prove Aaronson’s conjecture and in the meantime prove that Jozsa’s conjecture, relative to an oracle, is false. In fact, we prove a stronger statement that for any depth parameter d, there exists an oracle that separates quantum depth d and 2d+1 in the presence of classical computation. Thus, our results show that relative to oracles, doubling the quantum circuit depth does make the hybrid model more powerful, and this cannot be traded by classical computation.
论对大量子深度的需求
由于相干时间短和噪声门,近期量子计算机可能具有较小的深度。利用这些量子计算机的一种自然方法是将它们与经典计算机交叉使用。理解这种混合方法的能力和局限性是量子计算中的一个重要主题。最值得注意的是,量子傅立叶变换可以通过对数深度量子电路和经典多项式时间算法的混合来实现。因此,在经典计算的存在下,量子多对数深度似乎有可能与量子多项式深度一样强大。事实上,Jozsa推测“任何量子多项式时间算法都可以通过O(log n)量子深度与多项式时间经典计算的穿插来实现。”这可以形式化为断言BQP和“BQNCBPP”的等价性。然而,Aaronson推测“在BQP和BPPBQNC之间存在oracle分离”。BQNCBPP和BPPBQNC是两种自然的、看似无可比拟的混合经典量子计算方式。在这项工作中,我们设法证明了Aaronson的猜想,同时证明了Jozsa的猜想,相对于神谕来说,是错误的。事实上,我们证明了一个更强的命题,即对于任何深度参数d,在经典计算的存在下,存在一个将量子深度d和2d+1分开的预言。因此,我们的结果表明,相对于预言机,加倍量子电路深度确实使混合模型更强大,这是经典计算无法替代的。
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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来源期刊
Journal of the ACM
Journal of the ACM 工程技术-计算机:理论方法
CiteScore
7.50
自引率
0.00%
发文量
51
审稿时长
3 months
期刊介绍: The best indicator of the scope of the journal is provided by the areas covered by its Editorial Board. These areas change from time to time, as the field evolves. The following areas are currently covered by a member of the Editorial Board: Algorithms and Combinatorial Optimization; Algorithms and Data Structures; Algorithms, Combinatorial Optimization, and Games; Artificial Intelligence; Complexity Theory; Computational Biology; Computational Geometry; Computer Graphics and Computer Vision; Computer-Aided Verification; Cryptography and Security; Cyber-Physical, Embedded, and Real-Time Systems; Database Systems and Theory; Distributed Computing; Economics and Computation; Information Theory; Logic and Computation; Logic, Algorithms, and Complexity; Machine Learning and Computational Learning Theory; Networking; Parallel Computing and Architecture; Programming Languages; Quantum Computing; Randomized Algorithms and Probabilistic Analysis of Algorithms; Scientific Computing and High Performance Computing; Software Engineering; Web Algorithms and Data Mining
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