mlsanityData to 13 Oct 2026

Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers

arXiv 2503.14088 ↗First posted 18 Mar 2025quant-ph cs.AIcited by 14

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Abstract (arXiv)

In this work, we introduce a Distributed Quantum Long Short-Term Memory (QLSTM) framework that leverages modular quantum computing to address scalability challenges on Noisy Intermediate-Scale Quantum (NISQ) devices. By embedding variational quantum circuits into LSTM cells, the QLSTM captures long-range temporal dependencies, while a distributed architecture partitions the underlying Variational Quantum Circuits (VQCs) into smaller, manageable subcircuits that can be executed on a network of quantum processing units. We assess the proposed framework using nontrivial benchmark problems such as damped harmonic oscillators and Nonlinear Autoregressive Moving Average sequences. Our results demonstrate that the distributed QLSTM achieves stable convergence and improved training dynamics compared to classical approaches. This work underscores the potential of modular, distributed quantum computing architectures for large-scale sequence modelling, providing a foundation for the future integration of hybrid quantum-classical solutions into advanced Quantum High-performance computing (HPC) ecosystems.

Key facts. Cited by 14 papers in the map (data through 13 Oct 2026). Builds on 23 of its 43 references that are in the map. First posted on arXiv 18 Mar 2025.

Builds on

23 of 43 references.

References · 23

  1. 2014Sequence to Sequence Learning with Neural Networkscited by 2,981
  2. 2013Speech Recognition with Deep Recurrent Neural Networkscited by 667
  3. 2021Quantum advantage in learning from experimentscited by 187
  4. 2019Variational Quantum Circuits for Deep Reinforcement Learningcited by 165
  5. 2020Quantum Long Short-Term Memorycited by 118
  6. 2021Parametrized quantum policies for reinforcement learningcited by 87
  7. 2020Reinforcement Learning with Quantum Variational Circuitscited by 74
  8. 2021On the difficulty of learning chaotic dynamics with RNNscited by 66
  9. 2020Quantum Convolutional Neural Networks for High Energy Physics Data Analysiscited by 64
  10. 2021The Dawn of Quantum Natural Language Processingcited by 60
  11. 2023Quantum machine learning for image classificationcited by 57
  12. 2022When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computingcited by 40
11 more
  1. 2022Quantum Multi-Agent Meta Reinforcement Learningcited by 23
  2. 2023Applying QNLP to sentiment analysis in financecited by 23
  3. 2024Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecastingcited by 17
  4. 2024Validating Large-Scale Quantum Machine Learning: Efficient Simulation of Quantum Support Vector Machines Using Tensor Networkscited by 16
  5. 2023Federated Quantum Long Short-term Memory (FedQLSTM)cited by 15
  6. 2024Quantum-Train-Based Distributed Multi-Agent Reinforcement Learningcited by 14
  7. 2024CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Datacited by 12
  8. 2020Towards a Distributed Quantum Computing Ecosystemcited by 11
  9. 2024Quantum Kernel-Based Long Short-term Memorycited by 11
  10. 2024Consensus-based Distributed Quantum Kernel Learning for Speech Recognitioncited by 10
  11. 2024Quantum Computing for Climate Resilience and Sustainability Challengescited by 7

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2025: 7; 2026: 7.

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  1. 2025Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecastingcited by 7
  2. 2025Quantum Machine Unlearning: Foundations, Mechanisms, and Taxonomycited by 4
  3. 2026Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learningcited by 4
  4. 2025Distributed Quantum Neural Networks on Distributed Photonic Quantum Computingcited by 3
  5. 2025You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Modelscited by 2
  6. 2025Meta-Learning for Quantum Optimization via Quantum Sequence Modelcited by 2
  7. 2026Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptationcited by 2
  8. 2026Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learningcited by 2
  9. 2025Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuitscited by 1
  10. 2026Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gatescited by 1
  11. 2025Special-Unitary Parameterization for Trainable Variational Quantum Circuitscited by 0
  12. 2026Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Designcited by 0
2 more
  1. 2026Quantum vs. Classical Machine Learning: A Unified Empirical Comparisoncited by 0
  2. 2026Recursive Quantum Long Short-Term Memory for Stable Short-Horizon Temperature Forecastingcited by 0