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WiMi Hologram Cloud Inc.

WiMi Unveils Reinforcement Learning Framework for Quantum Encoding Circuits

Beijing – September 19, 2026 -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) has developed a reinforcement learning-based framework to automate the design of quantum encoding circuits, aiming to cut the resource costs and inefficiencies that have limited quantum machine learning (QML) model performance.

WiMi replaces manual circuit design with automated search architecture

The new scheme uses reinforcement learning to generate task-specific encoding circuit architectures automatically, moving away from the heuristic, manually designed approaches that have dominated QML development. WiMi states the framework targets three persistent industry problems: poor task adaptability, low search efficiency, and insufficient handling of multiple design objectives simultaneously.

WiMi Unveils Quantum Algorithm to Compress High-Dimensional Data Without Feature Loss

Beijing – – September 11, 2026 -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) has developed a multi-dimensional data pooling technique built on Variational Quantum Algorithms (VQA) that compresses complex datasets while retaining local feature detail, a persistent bottleneck in classical machine learning pipelines.

WiMi combines Quantum Haar Transform with partial measurement to eliminate flattening losses

The scheme merges a Quantum Haar Transform (QHT) with quantum partial measurement to build what the company calls a quantum pooling mechanism. Unlike classical pooling, which compresses data by discarding information through flattening, WiMi's method operates directly on multi-dimensional data in quantum state space, avoiding the need to reduce inputs to one-dimensional form before processing.