Core Insights - WiMi Hologram Cloud Inc. has announced a study on multidimensional pooling optimization techniques in variational quantum algorithms, introducing the Quantum Haar Transform (QHT) as a novel solution for multidimensional data pooling [1][4]. Group 1: Quantum Technology and Applications - The Quantum Haar Transform (QHT) maps multidimensional data to a quantum state space, enhancing the expression of local features while preserving the global structure of the data [2]. - Quantum partial measurement techniques allow for selective extraction of key information from quantum states, improving the pooling operation by retaining important feature information in a probabilistic form [2][3]. - Variational Quantum Algorithms (VQA) optimize parameters to ensure accurate pooling operations, maintaining computational efficiency and preserving locality and feature structure of the data [3][4]. Group 2: Advantages of Quantum Pooling Optimization - The multidimensional pooling optimization technology under the VQA framework addresses limitations of traditional pooling methods, leveraging quantum computing advantages for complex multidimensional data tasks [4]. - As quantum computing technology matures, this optimization technology is expected to demonstrate significant application potential across various fields, supporting the development of efficient quantum machine learning models [4]. Group 3: Company Overview - WiMi Hologram Cloud, Inc. specializes in holographic AR technologies, offering solutions in areas such as automotive HUD software, 3D holographic pulse LiDAR, and interactive holographic communication [5].