WiMi explores quantum computing approach for multidimensional data

BEIJING - WiMi Hologram Cloud Inc. (NASDAQ:WIMI), a profitable technology company with $74.25 million in annual revenue and strong financial health according to InvestingPro, announced Friday it has conducted research on multidimensional pooling optimization techniques in variational quantum algorithms, according to a company press release.

The research focuses on using Quantum Haar Transform (QHT) and quantum partial measurement to process multidimensional data in quantum computing environments. This approach maps multidimensional data to quantum state space, with each qubit representing a dimension or feature of the data.

Unlike traditional pooling methods that discard portions of data, the quantum partial measurement technique preserves key features in probabilistic form while reducing data dimensionality. The company reports this method maintains both locality and essential data characteristics.

The Variational Quantum Algorithms (VQA) framework combines quantum computing with classical optimization techniques. According to WiMi, this hybrid approach can process multidimensional data without reducing it to one dimension, potentially preserving structural information more effectively.

WiMi claims the technology leverages quantum parallelism and entanglement to accelerate computation when handling large-scale multidimensional data, which could improve model training and inference efficiency.

The company suggests this research may provide solutions for quantum machine learning applications dealing with complex multidimensional data tasks, though practical implementation would depend on advancements in quantum hardware.

WiMi Hologram Cloud provides holographic cloud technical solutions including AR automotive applications, holographic vision semiconductor technology, and interactive holographic communication.

In other recent news, WiMi Hologram Cloud Inc. reported that its cash reserves have surged to approximately $455 million. This figure includes about $242 million in bank cash and $212 million in Bitcoin-related securities derivatives and short-term investments. The company’s financial position was disclosed in a recent press release, highlighting its robust cash and investment holdings. Additionally, WiMi Hologram Cloud Inc. announced its exploration of a quantum machine learning algorithm aimed at enhancing the efficiency of training large-scale machine learning models. This initiative involves combining classical machine learning algorithms with quantum acceleration technology to construct sparse neural networks, thereby reducing computational burden. These developments reflect WiMi’s ongoing efforts to innovate and strengthen its technological capabilities.

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