MicroAlgo introduced a new suite of quantum algorithms that accelerate the training and evaluation of feedforward neural networks. The algorithms replace the most computationally intensive steps in back‑propagation with quantum sub‑routines that approximate vector inner products in linear time, a dramatic improvement over the quadratic complexity of classical methods.
The quantum approach embeds a quantum random‑access memory (QRAM) layer to store intermediate activation and error values, enabling logarithmic‑time retrieval and reducing memory overhead. The stochastic nature of quantum measurements also provides a built‑in regularization effect that helps prevent over‑fitting, a common challenge in deep learning models.
MicroAlgo positions the technology for high‑performance computing scenarios that demand rapid inference and training, including financial risk assessment, genomic data analysis, autonomous vehicle decision systems, and edge‑device inference. The company notes that the algorithms are ready for integration into its existing product portfolio and can be deployed on classical systems while the full quantum speed‑ups will require specialized quantum hardware.
The announcement comes as MicroAlgo reports a strong 2025 financial year, with net profit rising 143.5% and diluted earnings per share up 272.7% compared with 2024. Operating expenses fell 35.3% year‑on‑year, driven by the completion of major algorithm development projects and disciplined cost control. CEO Min Shu said, "2025 is the year when we achieved outstanding results. We have achieved strong growth in net profit while maintaining stable cash flow and ample liquidity."
MicroAlgo’s strategy to leverage quantum‑inspired techniques across its algorithm services is aimed at capturing value from the projected $1.8 trillion AI market by 2030 while maintaining the low capital intensity that has defined the company’s recent profitability. The new quantum‑accelerated algorithms are expected to open new revenue streams in AI‑intensive markets and reinforce the company’s position as a leading provider of high‑performance algorithm solutions.
MicroAlgo is a Shenzhen‑based technology holding company and a subsidiary of WiMi Hologram Cloud Inc. The company’s leadership includes CFO He Li and CTO Cheng Wei Yi, and it operates through two primary segments: Central Processing Algorithm Services and Intelligent Chips and Services.
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