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可编程量子退火器中的计算多量子比特隧穿

Computational multiqubit tunnelling in programmable quantum annealers.

作者信息

Boixo Sergio, Smelyanskiy Vadim N, Shabani Alireza, Isakov Sergei V, Dykman Mark, Denchev Vasil S, Amin Mohammad H, Smirnov Anatoly Yu, Mohseni Masoud, Neven Hartmut

机构信息

Google, Venice, California 90291, USA.

NASA Ames Research Center, Moffett Field, California 94035, USA.

出版信息

Nat Commun. 2016 Jan 7;7:10327. doi: 10.1038/ncomms10327.

DOI:10.1038/ncomms10327
PMID:26739797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4729842/
Abstract

Quantum tunnelling is a phenomenon in which a quantum state traverses energy barriers higher than the energy of the state itself. Quantum tunnelling has been hypothesized as an advantageous physical resource for optimization in quantum annealing. However, computational multiqubit tunnelling has not yet been observed, and a theory of co-tunnelling under high- and low-frequency noises is lacking. Here we show that 8-qubit tunnelling plays a computational role in a currently available programmable quantum annealer. We devise a probe for tunnelling, a computational primitive where classical paths are trapped in a false minimum. In support of the design of quantum annealers we develop a nonperturbative theory of open quantum dynamics under realistic noise characteristics. This theory accurately predicts the rate of many-body dissipative quantum tunnelling subject to the polaron effect. Furthermore, we experimentally demonstrate that quantum tunnelling outperforms thermal hopping along classical paths for problems with up to 200 qubits containing the computational primitive.

摘要

量子隧穿是一种量子态穿越高于其自身能量的能量势垒的现象。量子隧穿已被假设为量子退火优化中的一种有利物理资源。然而,尚未观察到多量子比特的计算隧穿,并且缺乏关于高频和低频噪声下协同隧穿的理论。在此,我们表明8量子比特隧穿在当前可用的可编程量子退火器中发挥着计算作用。我们设计了一种用于隧穿的探针,这是一种计算原语,其中经典路径被困在一个错误的最小值中。为支持量子退火器的设计,我们在现实噪声特性下开发了一种开放量子动力学的非微扰理论。该理论准确预测了受极化子效应影响的多体耗散量子隧穿速率。此外,我们通过实验证明,对于包含该计算原语且多达200个量子比特的问题,量子隧穿在穿越经典路径时比热跳跃表现更优。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/989b/4729842/66cd367531d8/ncomms10327-f10.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/989b/4729842/66cd367531d8/ncomms10327-f10.jpg

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本文引用的文献

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Unraveling Quantum Annealers using Classical Hardness.利用经典硬度剖析量子退火器
Sci Rep. 2015 Oct 20;5:15324. doi: 10.1038/srep15324.
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Science. 2014 Jul 25;345(6195):420-4. doi: 10.1126/science.1252319. Epub 2014 Jun 19.
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Hearing the shape of the Ising model with a programmable superconducting-flux annealer.利用可编程超导磁通退火器聆听伊辛模型的形状。
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Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies.在含噪声中等规模量子(NISQ)系统上编程量子神经网络:技术与方法概述
Entropy (Basel). 2023 Apr 20;25(4):694. doi: 10.3390/e25040694.
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Quantum critical dynamics in a 5,000-qubit programmable spin glass.5000 量子比特可编程自旋玻璃中的量子临界动力学。
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