MicroCloud Hologram (HOLO, Financial) has revealed its advancement in creating a new technology that combines neural networks with quantum-assisted methods for unsupervised data clustering. This innovative approach utilizes a hybrid quantum-classical algorithm framework, merging the classical self-organizing feature map (SOFM) neural network with the advanced capabilities of quantum computing. The SOFM model is well-regarded in applications such as data clustering, dimensionality reduction, and data visualization. It operates by mapping high-dimensional input data to a lower-dimensional topological space using a competitive learning algorithm. This technique ensures that related data points are positioned close to each other on the map, achieving effective clustering.
MicroCloud Hologram (HOLO) Develops Quantum-Assisted Data Clustering Technology | HOLO Stock News
May 16, 2025
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