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TensorNetwork: A Library for Physics and Machine Learning

arXiv 1905.01330 ↗First posted 3 May 2019physics.comp-ph cond-mat.str-el cs.LGcited by 21

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Abstract (arXiv)

TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body physics, but are currently also applied in a number of other research areas, including machine learning. We demonstrate the use of the API with applications both physics and machine learning, with details appearing in companion papers.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 May 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 4; 2023: 5; 2024: 6; 2025: 1; 2026: 1.

21 papers.

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  1. 2023Tensor Networks Meet Neural Networks: A Survey and Future Perspectivescited by 29
  2. 2021TedNet: A Pytorch Toolkit for Tensor Decomposition Networkscited by 9
  3. 2021Quantum-inspired event reconstruction with Tensor Networks: Matrix Product Statescited by 9
  4. 2022tntorch: Tensor Network Learning with PyTorchcited by 7
  5. 2022Verifying Fairness in Quantum Machine Learningcited by 7
  6. 2024Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadowscited by 7
  7. 2024Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcarecited by 7
  8. 2021Entangled q-Convolutional Neural Netscited by 4
  9. 2025tn4ml: Tensor Network Training and Customization for Machine Learningcited by 4
  10. 2022Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learningcited by 2
  11. 2023Quantum-inspired tensor network for Earth sciencecited by 2
  12. 2023The cross-sectional stock return predictions via quantum neural network and tensor networkcited by 1
9 more
  1. 2023Probabilistic Regular Tree Priors for Scientific Symbolic Reasoningcited by 1
  2. 2024Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuitscited by 1
  3. 2021Tensor Network for Supervised Learning at Finite Temperaturecited by 0
  4. 2022Stack operation of tensor networkscited by 0
  5. 2023Symbolically integrating tensor networks over various random tensors by the second version of Python RTNIcited by 0
  6. 2024A Tensor Network Implementation of Multi Agent Reinforcement Learningcited by 0
  7. 2024Application of Quantum Tensor Networks for Protein Classificationcited by 0
  8. 2024No-Free-Lunch Theories for Tensor-Network Machine Learning Modelscited by 0
  9. 2026Quantum-inspired tensor networks in machine learning modelscited by 0