Literature DB >> 28409975

Experimental Adiabatic Quantum Factorization under Ambient Conditions Based on a Solid-State Single Spin System.

Kebiao Xu1, Tianyu Xie1, Zhaokai Li1,2, Xiangkun Xu1, Mengqi Wang1, Xiangyu Ye1, Fei Kong1, Jianpei Geng1, Changkui Duan1, Fazhan Shi1,2, Jiangfeng Du1,2.   

Abstract

The adiabatic quantum computation is a universal and robust method of quantum computing. In this architecture, the problem can be solved by adiabatically evolving the quantum processor from the ground state of a simple initial Hamiltonian to that of a final one, which encodes the solution of the problem. Adiabatic quantum computation has been proved to be a compatible candidate for scalable quantum computation. In this Letter, we report on the experimental realization of an adiabatic quantum algorithm on a single solid spin system under ambient conditions. All elements of adiabatic quantum computation, including initial state preparation, adiabatic evolution (simulated by optimal control), and final state read-out, are realized experimentally. As an example, we found the ground state of the problem Hamiltonian S_{z}I_{z} on our adiabatic quantum processor, which can be mapped to the factorization of 35 into its prime factors 5 and 7.

Entities:  

Year:  2017        PMID: 28409975     DOI: 10.1103/PhysRevLett.118.130504

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  1 in total

1.  Experimental demonstration of adversarial examples in learning topological phases.

Authors:  Huili Zhang; Si Jiang; Xin Wang; Wengang Zhang; Xianzhi Huang; Xiaolong Ouyang; Yefei Yu; Yanqing Liu; Dong-Ling Deng; L-M Duan
Journal:  Nat Commun       Date:  2022-08-25       Impact factor: 17.694

  1 in total

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