mlsanityData to 7 Oct 2026

Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation

arXiv 2606.24932 ↗First posted 22 Jun 2026quant-ph cs.AI cs.ETcited by 2

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Abstract (arXiv)

Recent advances in quantum computing and machine learning have motivated the development of quantum models for sequential data processing. In this paper, we propose a Recursive Quantum Long Short-Term Memory model, or Recursive QLSTM, which extends QLSTM through metacore-based recursive constructions. We numerically test the model under different input sequence lengths, metacore designs, and recursive rules, and identify the best-performing architecture among these variants. For this selected model, we further provide theoretical arguments explaining why its recursive structure improves temporal information propagation and enhances learning performance. Our results suggest that Recursive QLSTM offers a flexible and effective framework for quantum recurrent learning over input time series of various lengths.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 40 of its 64 references that are in the map. First posted on arXiv 22 Jun 2026.

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40 of 64 references.

References · 40

  1. 2016HyperNetworkscited by 1,003
  2. 2020Variational Quantum Algorithmscited by 687
  3. 2018Barren plateaus in quantum neural network training landscapescited by 624
  4. 2016Learning to learn by gradient descent by gradient descentcited by 616
  5. 2020Time Series Forecasting With Deep Learning: A Surveycited by 457
  6. 2020The power of quantum neural networkscited by 377
  7. 2019Parameterized quantum circuits as machine learning modelscited by 330
  8. 2020The effect of data encoding on the expressive power of variational quantum machine learning modelscited by 328
  9. 2016Dynamic Filter Networkscited by 318
  10. 2019CondConv: Conditionally Parameterized Convolutions for Efficient Inferencecited by 273
  11. 2017Meta Networkscited by 268
  12. 2021Connecting ansatz expressibility to gradient magnitudes and barren plateauscited by 180
28 more
  1. 2019Variational Quantum Circuits for Deep Reinforcement Learningcited by 165
  2. 2016Using Fast Weights to Attend to the Recent Pastcited by 161
  3. 2020Quantum Long Short-Term Memorycited by 118
  4. 2021QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuitscited by 97
  5. 2016Learning feed-forward one-shot learnerscited by 93
  6. 2020Quantum circuit architecture search for variational quantum algorithmscited by 81
  7. 2020Recurrent Quantum Neural Networkscited by 79
  8. 2021The Dawn of Quantum Natural Language Processingcited by 60
  9. 2021Quantum Architecture Search via Deep Reinforcement Learningcited by 58
  10. 2022A Survey on Quantum Reinforcement Learningcited by 50
  11. 2022PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protectioncited by 26
  12. 2023Quantum Recurrent Neural Networks for Sequential Learningcited by 24
  13. 2022Quantum deep recurrent reinforcement learningcited by 23
  14. 2023Applying QNLP to sentiment analysis in financecited by 23
  15. 2024Learning to Program Variational Quantum Circuits with Fast Weightscited by 23
  16. 2024Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecastingcited by 17
  17. 2024Validating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networkscited by 16
  18. 2023Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecastingcited by 15
  19. 2022Reservoir Computing via Quantum Recurrent Neural Networkscited by 14
  20. 2024Quantum-Train-Based Distributed Multi-Agent Reinforcement Learningcited by 14
  21. 2025Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computerscited by 14
  22. 2022Rapid training of quantum recurrent neural networkscited by 13
  23. 2024Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learningcited by 13
  24. 2025Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networkscited by 10
  25. 2025QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memorycited by 8
  26. 2025Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generationcited by 7
  27. 2023Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Predictioncited by 4
  28. 2024LSTM-QGAN: Scalable NISQ Generative Adversarial Networkcited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gatescited by 1
  2. 2026Recursive Quantum Long Short-Term Memory for Stable Short-Horizon Temperature Forecastingcited by 0