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Proof-of-concept Study.pdf

2208.02235.pdf
Preview of proof-of-concept study
🔗 Source: arxiv.org
📊 Size: 1.97 MB
📄 Pages: 14 pages
⬇️ Downloads: 278

Summary

Researchers propose Quantum-Inspired Tensor Neural Networks (TNN) to solve Partial Differential Equations (PDE), overcoming limitations of traditional Deep Neural Networks (DNN) in terms of training time and memory. TNN leverages Tensor Network ideas, providing significant parameter savings while maintaining accuracy, and can be trained faster than DNN for the same accuracy. The approach is demonstrated by solving parabolic PDEs, including the Black-Scholes-Barenblatt equation, and shows advantages over DNN.

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Description

Researchers propose Quantum-Inspired Tensor Neural Networks (TNN) to solve Partial Differential Equations (PDE), overcoming limitations of traditional Deep...

Technical Information

  • File Format: PDF
  • File Size: 1.97 MB
  • Pages: 14
  • Language: EN
  • Total Downloads: 278
  • Last Updated: 3 weeks ago

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