Optimization of Quantum Computing Models Inspired by D-Wave Quantum Annealing

作     者：Baonan Wang Feng Hu Chao Wang Baonan Wang;Feng Hu;Chao Wang

作者机构：Key laboratory of Specialty Fiber Optics and Optical Access NetworksJoint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China the State Key Laboratory of CryptologyBeijing 100878China the Center for Quantum ComputingPeng Cheng LaboratoryShenzhen 518000China 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2020年第25卷第4期

页      面：508-515页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 07[理学] 070105[理学-运筹学与控制论] 070201[理学-理论物理] 0701[理学-数学] 0702[理学-物理学] 

基　　金：supported by the Special Zone Project of National Defense Innovation,the National Natural Science Foundation of China(Nos.61572304 and 61272096) the Key Program of the National Natural Science Foundation of China(No.61332019) Open Research Fund of State Key Laboratory of Cryptology 

主　　题：Quantum Annealing(QA) annealing schedule quantum tunneling optimization problem 

摘      要：With the slow progress of universal quantum computers,studies on the feasibility of optimization by a dedicated and quantum-annealing-based annealer are *** quantum principle is expected to utilize the quantum tunneling effects to find the optimal solutions for the exponential-level problems while classical annealing may be affected by the *** study constructs a new Quantum-Inspired Annealing(QIA)framework to explore the potentials of quantum annealing for solving Ising model with comparisons to the classical *** various configurations of the 1 D Ising model,the new framework can achieve ground state,corresponding to the optimum of classical problems,with higher probability up to 28%versus classical counterpart(22%in case).This condition not only reveals the potential of quantum annealing for solving the Ising-like Hamiltonian,but also contributes to an improved understanding and use of the quantum annealer for various applications in the future.