mlsanityData to 7 Oct 2026

Transfer Learning Analysis of Variational Quantum Circuits

arXiv 2501.01507 ↗First posted 2 Jan 2025quant-ph cs.AI cs.LGcited by 3

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Abstract (arXiv)

This work analyzes transfer learning of the Variational Quantum Circuit (VQC). Our framework begins with a pretrained VQC configured in one domain and calculates the transition of 1-parameter unitary subgroups required for a new domain. A formalism is established to investigate the adaptability and capability of a VQC under the analysis of loss bounds. Our theory observes knowledge transfer in VQCs and provides a heuristic interpretation for the mechanism. An analytical fine-tuning method is derived to attain the optimal transition for adaptations of similar domains.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 25 of its 36 references that are in the map. First posted on arXiv 2 Jan 2025.

Builds on

25 of 36 references.

References · 25

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2019Parameter-Efficient Transfer Learning for NLPcited by 4,195
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  5. 2021Generalization in quantum machine learning from few training datacited by 214
  6. 2019Variational Quantum Circuits for Deep Reinforcement Learningcited by 165
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  8. 2019Transfer learning in hybrid classical-quantum neural networkscited by 113
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  11. 2021The Dawn of Quantum Natural Language Processingcited by 60
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13 more
  1. 2021An end-to-end trainable hybrid classical-quantum classifiercited by 49
  2. 2022When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computingcited by 40
  3. 2021QTN-VQC: An End-to-End Learning framework for Quantum Neural Networkscited by 27
  4. 2022PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protectioncited by 26
  5. 2022Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Designcited by 25
  6. 2022Quantum deep recurrent reinforcement learningcited by 23
  7. 2023Applying QNLP to sentiment analysis in financecited by 23
  8. 2024Learning to Program Variational Quantum Circuits with Fast Weightscited by 23
  9. 2021Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transportcited by 16
  10. 2023Federated Quantum Long Short-term Memory (FedQLSTM)cited by 15
  11. 2024Quantum-Trained Convolutional Neural Network for Deepfake Audio Detectioncited by 12
  12. 2024Quantum Gradient Class Activation Map for Model Interpretabilitycited by 9
  13. 2023Interpretations of Domain Adaptations via Layer Variational Analysiscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generationcited by 7
  2. 2025Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learningcited by 3
  3. 2026Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Datacited by 0