Why adiabatic quantum annealing is unlikely to yield speed-up

Aaron Villanueva, Peyman Najafi, Hilbert Kappen
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We analytically compute the minimal spectral gap, which is $\\Omega(1/\\sqrt{N})$ with $N$ the total number of states, and its location $z_*$.
We show that quantum speed-up requires an annealing schedule which demands a precise knowledge of $z_*$, which can be computed only if the density of states of the optimization problem is known.
However, in general the density of states is intractable to compute, making quadratic speed-up unfeasible for any practical combinatorial optimization problems. 
We conjecture that it is likely that this negative result also applies for any other instance independent transverse Hamiltonians such as $H_0 = -\\sum_{i=1}^n \\sigma_i^x$.","PeriodicalId":16785,"journal":{"name":"Journal of Physics A","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Physics A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1088/1751-8121/ad0439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract We study quantum annealing for combinatorial optimization with Hamiltonian $H = H_0 + z H_f$ where $H_f$ is diagonal, $H_0=-\ket{\phi}\bra{\phi}$ is the equal superposition state projector and $z$ the annealing parameter.
We analytically compute the minimal spectral gap, which is $\Omega(1/\sqrt{N})$ with $N$ the total number of states, and its location $z_*$.
We show that quantum speed-up requires an annealing schedule which demands a precise knowledge of $z_*$, which can be computed only if the density of states of the optimization problem is known.
However, in general the density of states is intractable to compute, making quadratic speed-up unfeasible for any practical combinatorial optimization problems. 
We conjecture that it is likely that this negative result also applies for any other instance independent transverse Hamiltonians such as $H_0 = -\sum_{i=1}^n \sigma_i^x$.
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为什么绝热量子退火不可能产生加速
摘要:利用hamilton量$H = H_0 + z H_f$ ($H_f$为对角线,$H_0=-\ket{\phi}\bra{\phi}$为等叠加态投影,$z$为退火参数)对组合优化中的量子退火进行了研究。
以$N$为总态数,解析计算最小谱隙$\Omega(1/\sqrt{N})$。和它的位置$z_*$ .
我们表明量子加速需要一个退火计划,它需要一个精确的知识$z_*$,只有在优化问题的状态密度已知的情况下才能计算。
然而,通常状态密度难以计算,使得二次加速对于任何实际的组合优化问题都是不可行的。我们推测,这一否定结果很可能也适用于任何其他独立的横向哈密顿量,如$H_0 = -\sum_{i=1}^n \sigma_i^x$。
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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