mlsanityData to 7 Oct 2026

Quantum-Inspired Machine Learning: a Survey

arXiv 2308.11269 ↗First posted 22 Aug 2023cs.LG quant-phcited by 11

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Abstract (arXiv)

Quantum-inspired Machine Learning (QiML) is a burgeoning field, receiving global attention from researchers for its potential to leverage principles of quantum mechanics within classical computational frameworks. However, current review literature often presents a superficial exploration of QiML, focusing instead on the broader Quantum Machine Learning (QML) field. In response to this gap, this survey provides an integrated and comprehensive examination of QiML, exploring QiML's diverse research domains including tensor network simulations, dequantized algorithms, and others, showcasing recent advancements, practical applications, and illuminating potential future research avenues. Further, a concrete definition of QiML is established by analyzing various prior interpretations of the term and their inherent ambiguities. As QiML continues to evolve, we anticipate a wealth of future developments drawing from quantum mechanics, quantum computing, and classical machine learning, enriching the field further. This survey serves as a guide for researchers and practitioners alike, providing a holistic understanding of QiML's current landscape and future directions.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 34 of its 268 references that are in the map. First posted on arXiv 22 Aug 2023.

Builds on

34 of 268 references.

References · 34

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22 more
  1. 2023Tensor Networks Meet Neural Networks: A Survey and Future Perspectivescited by 29
  2. 2020Anomaly Detection with Tensor Networkscited by 26
  3. 2016Quantum Algorithms for Compositional Natural Language Processingcited by 24
  4. 2020Advances in Quantum Deep Learning: An Overviewcited by 21
  5. 2018Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimensioncited by 18
  6. 2019Quantum-inspired algorithms in practicecited by 18
  7. 2023Tensor networks for quantum machine learningcited by 16
  8. 2018Entanglement-guided architectures of machine learning by quantum tensor networkcited by 15
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  10. 2023Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applicationscited by 14
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  13. 2021Revisiting dequantization and quantum advantage in learning taskscited by 11
  14. 2022Quantum-Inspired Tensor Neural Networks for Partial Differential Equationscited by 9
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  17. 2020Adaptive Learning of Tensor Network Structurescited by 6
  18. 2023An Improved Classical Singular Value Transformation for Quantum Machine Learningcited by 5
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  20. 2019Quantum-Inspired Classical Algorithms for Singular Value Transformationcited by 3
  21. 2019Quantum-inspired sublinear algorithm for solving low-rank semidefinite programmingcited by 2
  22. 2020Locally orderless tensor networks for classifying two- and three-dimensional medical imagescited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 9; 2026: 1.

11 papers.

  1. 2025Quantum-Enhanced Transformers for Robust Acoustic Scene Classification in IoT Environmentscited by 2
  2. 2025You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Modelscited by 2
  3. 2024Benefiting from Quantum? A Comparative Study of Q-Seg, Quantum-Inspired Techniques, and U-Net for Crack Segmentationcited by 1
  4. 2025Training-free Quantum-Inspired Image Edge Extraction Methodcited by 0
  5. 2025Boosting Classification with Quantum-Inspired Augmentationscited by 0
  6. 2025Quantum-Inspired DRL Approach with LSTM and OU Noise for Cut Order Planning Optimizationcited by 0
  7. 2025Quantum-based QoE Optimization in Advanced Cellular Networks: Integration and Cloud Gaming Use Casecited by 0
  8. 2025A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problemcited by 0
  9. 2025QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classificationcited by 0
  10. 2025QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environmentscited by 0
  11. 2026Iterative tensor network transformations for element-wise evaluation of elementary and filtering functionscited by 0