WiMi Lays Out Variational Quantum Algorithms for Multidimensional Data Task Processing

BEIJING, Sept. 12, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ:WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an in-depth study of the multidimensional pooling optimization technique in variational quantum algorithms. By introducing the Quantum Haar Transform (QHT) and quantum partial measurement, they provided a novel solution for multidimensional data pooling. The Haar transform is a classical signal processing technique used for data compression and feature extraction. The Quantum Haar Transform (QHT) is its extension within the quantum computing framework, which leverages the superposition and entanglement properties of quantum states to efficiently transform multidimensional data.

Through QHT, multidimensional data is mapped to a quantum state space, where each qubit represents a dimension or feature of the data. This mapping not only preserves the global structure of the data but also enhances the expression of local features. After the Quantum Haar Transform, quantum partial measurement techniques can selectively extract key information from the quantum state, enabling the pooling operation for multidimensional data. Unlike traditional pooling methods that directly discard part of the data, quantum partial measurement leverages the probabilistic nature of quantum states to retain the most important feature information in probabilistic form, according to predefined pooling strategies (such as max pooling, average pooling, etc.). This process not only reduces the data dimensionality but also preserves the locality and key features of the data, providing high-quality input for subsequent quantum classification or regression tasks.

Variational Quantum Algorithms (VQA) are hybrid algorithms that combine quantum computing and classical optimization. By using parameterized quantum circuits and optimization techniques such as gradient descent, VQAs iteratively adjust quantum states to minimize a given loss function. In multidimensional pooling optimization, VQA is used to optimize parameters, ensuring that the pooling operation can accurately capture key features of the data while maintaining computational efficiency and accuracy. Through an iterative optimization process, VQA continually adjusts the parameters of the quantum circuit so that the quantum state transformation and measurement process can maximally preserve the locality and feature structure of the data. Moreover, VQAs can directly perform pooling operations on multidimensional data without the need to reduce the data to one dimension, effectively retaining the locality and structural information of the data. The superposition and entanglement properties of quantum states enable more rich representations of multidimensional data in quantum space, helping to extract finer and more complex features. The utilization of quantum parallelism and entanglement allows VQA to significantly accelerate computation when handling large-scale multidimensional data, improving the efficiency of model training and inference. The VQA framework is highly scalable and can accommodate various types of multidimensional data processing needs, ranging from one-dimensional audio data to two-dimensional image data and even three-dimensional hyperspectral data. By adjusting the parameters and structure of the quantum circuit, VQA can be flexibly applied to different dimensional data processing tasks.

The multidimensional pooling optimization technology under the Variational Quantum Algorithm framework researched by WiMi provides a new solution for quantum machine learning in handling complex multidimensional data tasks. It not only overcomes the limitations of traditional pooling methods when dealing with high-dimensional data but also fully leverages the unique advantages of quantum computing. As quantum computing technology continues to develop and mature, the multidimensional pooling optimization technology under the VQA framework is expected to demonstrate its enormous application potential and value in more fields. In the future, with improvements in quantum hardware and algorithm optimization, this technology is expected to provide strong support for building more efficient and accurate quantum machine learning models.

About WiMi Hologram Cloud

WiMi Hologram Cloud, Inc. (NASDAQ:WIMI) is a holographic cloud comprehensive technical solution provider that focuses on professional areas including holographic AR automotive HUD software, 3D holographic pulse LiDAR, head-mounted light field holographic equipment, holographic semiconductor, holographic cloud software, holographic car navigation and others. Its services and holographic AR technologies include holographic AR automotive application, 3D holographic pulse LiDAR technology, holographic vision semiconductor technology, holographic software development, holographic AR advertising technology, holographic AR entertainment technology, holographic ARSDK payment, interactive holographic communication and other holographic AR technologies.

Safe Harbor Statements

This press release contains "forward-looking statements" within the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," and similar statements. Statements that are not historical facts, including statements about the Company's beliefs and expectations, are forward-looking statements. Among other things, the business outlook and quotations from management in this press release and the Company's strategic and operational plans contain forward−looking statements. The Company may also make written or oral forward−looking statements in its periodic reports to the US Securities and Exchange Commission ("SEC") on Forms 20−F and 6−K, in its annual report to shareholders, in press releases, and other written materials, and in oral statements made by its officers, directors or employees to third parties. Forward-looking statements involve inherent risks and uncertainties. Several factors could cause actual results to differ materially from those contained in any forward−looking statement, including but not limited to the following: the Company's goals and strategies; the Company's future business development, financial condition, and results of operations; the expected growth of the AR holographic industry; and the Company's expectations regarding demand for and market acceptance of its products and services.

Further information regarding these and other risks is included in the Company's annual report on Form 20-F and the current report on Form 6-K and other documents filed with the SEC. All information provided in this press release is as of the date of this press release. The Company does not undertake any obligation to update any forward-looking statement except as required under applicable laws.

View original content:https://www.prnewswire.com/news-releases/wimi-lays-out-variational-quantum-algorithms-for-multidimensional-data-task-processing-302555220.html

SOURCE WiMi Hologram Cloud Inc.