Quantum Associative Memory Based on Subspace Projection
To study the biological associative phenomena,we propose a novel quantum associative neural network model based on the subspace projection transformation of the quantum system.The patterns are encoded into a set of independent quantum state and iteratively stored into the quantum associative memory.The information retrieval is an action of projection transformation and follows a POVM measurement.Computer simulations show that it exhibits good associative ability.It can associatively recognize the face with different expression from a set of face images.In addition,the model can dramatically improve the storage capacity and process speed compared with the classical neural network model due to the quantum techniques.Compared with previous quantum associative memory models,our model can memorize and retrieval nonorthogonal quantum patterns with good performance.
Lingxiang Zheng
School of Information Science and Technology,Xiamen University,Xiamen 361005,China
国际会议
武汉
英文
2008-11-01（万方平台首次上网日期，不代表论文的发表时间）