Innovative Research in Neural Networks

We specialize in advanced research design, focusing on tensor networks, neural networks, and their applications in complex systems and quantum states.

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Our Research Methodology

Our approach includes theoretical framework construction, model architecture design, rigorous training, and exploring applications in various complex systems.

Research Design Services

We provide comprehensive research design services across theoretical frameworks, model architecture, training, and application exploration.

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Theoretical Frameworks

Establish precise mathematical mappings and conversion rules between tensor networks and neural networks effectively.

Model Architecture

Develop specialized network layers and design loss functions that maintain essential physical constraints and properties.

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1) Establishing a mathematical framework connecting Transformer architectures with lattice quantum field theory, revealing deep connections between self-attention mechanisms and quantum entanglement representations; 2) Developing specialized neural network architectures capable of efficiently simulating large-scale lattice systems, transcending computational limitations of existing numerical methods; 3) Constructing quantum phase identification systems automatically detecting phase transition points and calculating critical exponents, independent of manually designed order parameters;