旅行商问题
量子退火
模拟退火
蒙特卡罗方法
计算机科学
统计物理学
量子
退火(玻璃)
数学优化
而量子蒙特卡罗
数学
应用数学
量子计算机
算法
物理
量子力学
热力学
统计
作者
Roman Martoňák,Giuseppe E. Santoro,Erio Tosatti
标识
DOI:10.1103/physreve.70.057701
摘要
We propose a path-integral Monte Carlo quantum annealing scheme for the symmetric traveling-salesman problem, based on a highly constrained Ising-like representation, and we compare its performance against standard thermal simulated annealing. The Monte Carlo moves implemented are standard, and consist in restructuring a tour by exchanging two links (two-opt moves). The quantum annealing scheme, even with a drastically simple form of kinetic energy, appears definitely superior to the classical one, when tested on a 1002-city instance of the standard TSPLIB.
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