Λ-system optimization results
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/eperrier/k-p_qnn
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资源简介:
该数据集包含了使用三级Λ系统评估K-P量子神经网络(QNN)优化方法的结果,重点在于复现先前使用常数θ方法得到的优化成果。该数据集采用Python实现,并用于展示K-P QNN在实现量子控制任务的最优时间解决方案方面的性能。该数据集的任务是量子控制优化。
This dataset contains the results of evaluating the K-P Quantum Neural Network (QNN) optimization method using a three-level Λ-type system, with the primary focus on reproducing the optimization outcomes previously obtained via the constant θ method. Implemented in Python, this dataset is utilized to demonstrate the performance of K-P QNNs in generating optimal-time solutions for quantum control tasks. The core task of this dataset is quantum control optimization.



