Experimental Adiabatic Quantum Factorization under Ambient Conditions Based on a Solid-State Single Spin System
Kebiao Xu, Tianyu Xie, Zhaokai Li, Xiangkun Xu, Mengqi Wang, Xiangyu Ye, Fei Kong, Jianpei Geng, Chang‐Kui Duan, Fazhan Shi, Jiangfeng Du · Physical Review Letters · 2017
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.