量子退火

大地测量反演中的量子退火法初探

The First Discussion to the Quantum Annealing Inversion in Geodetic Inversion

在数学和应用领域，量子退火算法是一类新的量子优化算法。

In mathematics and applications , quantum annealing is a new method for finding solutions to combinatorial optimization problems and ground states of glassy systems using quantum fluctuations .

量子退火反演的原理和实现

Quantum annealing inversion and its implementation

不同厚度GaAs覆盖层对自组织生长InAs量子点退火效应的影响

Annealing Effects of Self-Assembled InAs Quantum Dots With Different Thick GaAs Cap Layers

基于量子遗传退火策略的多播路由优化模型及其算法

Optimal Multicast Routing Model and Its Algorithm Based on the Quantum Genetic Annealing Strategy

根据电信网络模块运营商具体决策条件，选取量子模拟退火算法进行求解。

The simulated annealing algorithm is employed to obtain the solution of this model , according to the specific decision conditions of telecommunications network module operators .

自组织生长InAs/GaAs量子点的退火效应

Annealing effects of self assembled inas / gaas quantum dots

半导体高功率量子阱激光器退火后的电噪声

Electric noise of high-power quantum well semiconductor lasers after annealing

量子进化和模拟退火的混合优化算法

Mixed Optimization Algorithm Based on Quantum Evolution and Simulate Anneal

将量子算法和模拟退火算法相结合，提出一种量子进化和模拟退火的混合优化算法。

Quantum-inspired evolutionary algorithm is a kind of evolutionary computation algorithm in the form of quantum chromosome and is based on the concept of quantum computation .