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Optimization of Quantum Computing Models Inspired by D-Wave Quantum Annealing 被引量:2
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作者 Baonan Wang Feng Hu Chao Wang 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2020年第4期508-515,共8页
With the slow progress of universal quantum computers,studies on the feasibility of optimization by a dedicated and quantum-annealing-based annealer are important.The quantum principle is expected to utilize the quant... With the slow progress of universal quantum computers,studies on the feasibility of optimization by a dedicated and quantum-annealing-based annealer are important.The 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 initializations.This 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 one.Through 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. 展开更多
关键词 QUANTUM Annealing(QA) ANNEALING SCHEDULE QUANTUM tunneling OPTIMIZATION problem
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