Core Insights - MicroCloud Hologram Inc. has achieved a significant breakthrough in digital simulated quantum computing through the introduction of the DeepSeek model, enhancing simulation efficiency and providing new insights for quantum algorithm design and optimization [1][10][11] Group 1: Breakthrough and Technology - The DeepSeek model improves the simulation efficiency of quantum computing and addresses the challenges of hardware implementation, making digital simulated quantum computing a vital tool for research and development [1][2][11] - The DeepSeek model utilizes a new neural network architecture called the Quantum Tensor Network Neural Network (QTNNN), which optimizes the simulation and prediction of complex systems [6][12] - The training process of the DeepSeek model consists of pre-training and fine-tuning stages, enhancing the model's accuracy and efficiency for specific quantum systems [7][12] Group 2: Computational Efficiency - The optimized algorithm introduced by HOLO reduces computational resource consumption by over 50% when simulating large-scale quantum systems [8][12] - The accuracy of digital simulations for quantum computing has improved by more than 30%, particularly in complex quantum systems, due to the optimizations made through the DeepSeek model [9][12] Group 3: Implications for Research and Industry - The advancements in digital simulation technology will significantly impact scientific research fields such as quantum chemistry, materials science, and drug development, providing powerful tools for understanding complex quantum systems [13] - The accelerated development of quantum computing will create new opportunities in industries like finance, energy, and artificial intelligence, enhancing financial modeling, energy optimization algorithms, and machine learning models [13]
MicroCloud Hologram Inc. Announces Breakthrough in Optimizing Digital Simulated Quantum Computing Using the DeepSeek Model