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MicroAlgo Inc. Adopts Quantum Phase Estimation (QPE) Method to Enhance Quantum Neural Network Training

  • On June 6, 2025, MicroAlgo Inc. From Shenzhen, China, revealed its adoption of Quantum Phase Estimation to improve the development and optimization of Quantum Neural Networks .
  • MicroAlgo adopted QPE because it leverages quantum superposition and interference to efficiently estimate quantum state phases, optimizing QNN parameters and speeding convergence.
  • This approach fully utilizes quantum parallelism, enabling faster neural network training with higher accuracy and promising improvements in image recognition, natural language processing, and text classification.
  • MicroAlgo highlighted QPE’s good scalability and ability to adapt to increasing qubit counts, supporting larger-scale QNN training, as they provide bespoke algorithms that improve cost, power, and satisfaction metrics.
  • This technology suggests growing applications for QNNs in machine learning, with MicroAlgo expecting wider and deeper use contingent on ongoing quantum computing advancements.
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MicroAlgo Inc. Adopts Quantum Phase Estimation (QPE) Method to Enhance Quantum Neural Network Training

SHENZHEN, China, June 6, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), explored the possibilities of quantum technology in various application scenarios, particularly in the training of Quantum Neural Networks (QNNs). Quantum Neural Networks combine the advantages…

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myscience.org broke the news in on Friday, June 6, 2025.
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