• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

量子退火中一类非斯托克斯哈密顿量的量子蒙特卡罗模拟。

Quantum Monte Carlo simulation of a particular class of non-stoquastic Hamiltonians in quantum annealing.

机构信息

Graduate School of Information Sciences, Tohoku University, Sendai 980-8579, Japan.

出版信息

Sci Rep. 2017 Jan 23;7:41186. doi: 10.1038/srep41186.

DOI:10.1038/srep41186
PMID:28112244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5253731/
Abstract

Quantum annealing is a generic solver of the optimization problem that uses fictitious quantum fluctuation. Its simulation in classical computing is often performed using the quantum Monte Carlo simulation via the Suzuki-Trotter decomposition. However, the negative sign problem sometimes emerges in the simulation of quantum annealing with an elaborate driver Hamiltonian, since it belongs to a class of non-stoquastic Hamiltonians. In the present study, we propose an alternative way to avoid the negative sign problem involved in a particular class of the non-stoquastic Hamiltonians. To check the validity of the method, we demonstrate our method by applying it to a simple problem that includes the anti-ferromagnetic XX interaction, which is a typical instance of the non-stoquastic Hamiltonians.

摘要

量子退火是一种通用的优化问题求解器,它利用虚拟量子涨落。在经典计算中,它的模拟通常通过铃木-特罗特分解的量子蒙特卡罗模拟来实现。然而,在使用精心设计的驱动哈密顿量模拟量子退火时,有时会出现负号问题,因为它属于非斯托克哈米顿量的一类。在本研究中,我们提出了一种避免涉及特定类非斯托克哈米顿量的负号问题的替代方法。为了验证该方法的有效性,我们通过将其应用于一个简单的问题来演示我们的方法,该问题包括反铁磁 XX 相互作用,这是非斯托克哈米顿量的典型实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/5e748bf2621b/srep41186-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/d1c034ba7a84/srep41186-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/57084c9be500/srep41186-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/5e748bf2621b/srep41186-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/d1c034ba7a84/srep41186-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/57084c9be500/srep41186-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89b6/5253731/5e748bf2621b/srep41186-f3.jpg

相似文献

1
Quantum Monte Carlo simulation of a particular class of non-stoquastic Hamiltonians in quantum annealing.量子退火中一类非斯托克斯哈密顿量的量子蒙特卡罗模拟。
Sci Rep. 2017 Jan 23;7:41186. doi: 10.1038/srep41186.
2
On the computational complexity of curing non-stoquastic Hamiltonians.关于求解非随机哈密顿量的计算复杂性
Nat Commun. 2019 Apr 5;10(1):1571. doi: 10.1038/s41467-019-09501-6.
3
Dynamics of order parameters of nonstoquastic Hamiltonians in the adaptive quantum Monte Carlo method.自适应量子蒙特卡罗方法中非随机哈密顿量序参量的动力学
Phys Rev E. 2019 Mar;99(3-1):032120. doi: 10.1103/PhysRevE.99.032120.
4
Effective Gaps Are Not Effective: Quasipolynomial Classical Simulation of Obstructed Stoquastic Hamiltonians.有效间隙并非有效:受阻随机哈密顿量的拟多项式经典模拟
Phys Rev Lett. 2020 Oct 23;125(17):170504. doi: 10.1103/PhysRevLett.125.170504.
5
Extension of Exactly-Solvable Hamiltonians Using Symmetries of Lie Algebras.利用李代数对称性扩展精确可解哈密顿量
J Phys Chem A. 2024 May 23;128(20):4150-4159. doi: 10.1021/acs.jpca.4c00993. Epub 2024 May 8.
6
Greedy parameter optimization for diabatic quantum annealing.用于非绝热量子退火的贪婪参数优化
Philos Trans A Math Phys Eng Sci. 2023 Jan 23;381(2241):20210416. doi: 10.1098/rsta.2021.0416. Epub 2022 Dec 5.
7
Quantum Monte Carlo method using a stochastic Poisson solver.使用随机泊松求解器的量子蒙特卡罗方法。
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Apr;73(4 Pt 2):046702. doi: 10.1103/PhysRevE.73.046702. Epub 2006 Apr 18.
8
Quantum speedup by quantum annealing.量子退火的量子加速。
Phys Rev Lett. 2012 Aug 3;109(5):050501. doi: 10.1103/PhysRevLett.109.050501. Epub 2012 Jul 31.
9
Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets.在几何阻挫磁体的量子模拟中相对于路径积分蒙特卡罗方法的标度优势。
Nat Commun. 2021 Feb 18;12(1):1113. doi: 10.1038/s41467-021-20901-5.
10
Random Compiler for Fast Hamiltonian Simulation.随机编译器快速哈密顿模拟。
Phys Rev Lett. 2019 Aug 16;123(7):070503. doi: 10.1103/PhysRevLett.123.070503.

引用本文的文献

1
Breaking limitation of quantum annealer in solving optimization problems under constraints.突破量子退火器在解决约束条件下优化问题方面的局限性。
Sci Rep. 2020 Feb 20;10(1):3126. doi: 10.1038/s41598-020-60022-5.
2
Optimization of neural networks via finite-value quantum fluctuations.通过有限值量子涨落优化神经网络。
Sci Rep. 2018 Jul 2;8(1):9950. doi: 10.1038/s41598-018-28212-4.

本文引用的文献

1
Langevin dynamics neglecting detailed balance condition.忽略细致平衡条件的朗之万动力学。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jul;92(1):012105. doi: 10.1103/PhysRevE.92.012105. Epub 2015 Jul 6.
2
Full-order fluctuation-dissipation relation for a class of nonequilibrium steady states.一类非平衡稳态的全阶涨落耗散关系。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jun;91(6):062105. doi: 10.1103/PhysRevE.91.062105. Epub 2015 Jun 5.
3
Comparative study of the performance of quantum annealing and simulated annealing.
量子退火与模拟退火性能的比较研究。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Jan;91(1):012104. doi: 10.1103/PhysRevE.91.012104. Epub 2015 Jan 6.
4
Violation of detailed balance accelerates relaxation.违背细致平衡会加速弛豫。
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Aug;88(2):020101. doi: 10.1103/PhysRevE.88.020101. Epub 2013 Aug 30.
5
Quantum speedup by quantum annealing.量子退火的量子加速。
Phys Rev Lett. 2012 Aug 3;109(5):050501. doi: 10.1103/PhysRevLett.109.050501. Epub 2012 Jul 31.
6
Quantum annealing with antiferromagnetic fluctuations.具有反铁磁涨落的量子退火
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 May;85(5 Pt 1):051112. doi: 10.1103/PhysRevE.85.051112. Epub 2012 May 10.
7
Quantum annealing with the Jarzynski equality.用量子弛豫和雅可比等式。
Phys Rev Lett. 2010 Jul 30;105(5):050401. doi: 10.1103/PhysRevLett.105.050401. Epub 2010 Jul 26.
8
Optimization by simulated annealing.模拟退火优化。
Science. 1983 May 13;220(4598):671-80. doi: 10.1126/science.220.4598.671.
9
Quantum approach to classical statistical mechanics.经典统计力学的量子方法。
Phys Rev Lett. 2007 Jul 20;99(3):030603. doi: 10.1103/PhysRevLett.99.030603.
10
Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations.费米子量子蒙特卡罗模拟的计算复杂性与基本限制
Phys Rev Lett. 2005 May 6;94(17):170201. doi: 10.1103/PhysRevLett.94.170201. Epub 2005 May 4.