WiMi Hologram Cloud Inc. Researches Synergic Quantum Generative Network Architecture

About this update from Wimi Hologram Cloud Inc.

BEIJING, June 22, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has announced its research into the Synergic Quantum Generative Network (SQGEN). Addressing the issues of unstable training, high quantum resource consumption, and low training efficiency in traditional Quantum Generative Adversarial Networks (QGAN), WiMi has designed a new parallel quantum learning framework and algorithm optimizations aimed at achieving a dual breakthrough in the performance and practicality of quantum generative machine learning. The SQGEN architecture completes technological innovation across four aspects: operating framework, algorithm optimization, function design, and communication mechanism. Different from the traditional QGAN serial operation mode, SQGEN establishes a brand-new parallel quantum learning framework that enables the generator and discriminator to run synchronously and interact in real time within a quantum computing environment. Leveraging the superposition and entanglement characteristics of qubits, the model can process multiple sets of data samples in parallel and simultaneously complete the data generation and authenticity discrimination processes. This fundamentally accelerates the model training process from the underlying architecture and significantly improves the overall algorithm operation efficiency. At the quantum circuit optimization level, SQGEN innovatively introduces the Nelder-Mead optimization algorithm, overturning the traditional gradient-based optimization mode. This algorithm does not rely on gradient information calculations, perfectly adapting to the technical issue of difficult precise gradient computation in quantum computing scenarios, thereby greatly improving the adaptability and operational stability of the quantum circuits. At the same time, the team at WiMi has carried out special optimization on the model cost function by relaxing the reversibility constraints and raising the lower bound of cost function computation, effectively reducing the number of function evaluations within a single training cycle. This optimization not only significantly reduces ineffective consumption of quantum hardware resources but also avoids training oscillation problems at the algorithm level, enhanc...

View stock analysis, news, and events for Wimi Hologram Cloud Inc.