mlsanityData to 14 Oct 2026

Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance

arXiv 2509.16955 ↗First posted 21 Sep 2025quant-ph cs.LG q-fin.CPcited by 2

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Abstract (arXiv)

We formulate automated market maker (AMM) rebalancing as a binary detection problem and study a hybrid quantum--classical self-attention block, Quantum Adaptive Self-Attention (QASA). QASA constructs quantum queries/keys/values via variational quantum circuits (VQCs) and applies standard softmax attention over Pauli-Z expectation vectors, yielding a drop-in attention module for financial time-series decision making. Using daily data for BTCUSDC over Jan-2024--Jan-2025 with a 70/15/15 time-series split, we compare QASA against classical ensembles, a transformer, and pure quantum baselines under Return, Sharpe, and Max Drawdown. The QASA-Sequence variant attains the best single-model risk-adjusted performance (13.99% return; Sharpe 1.76), while hybrid models average 11.2% return (vs. 9.8% classical; 4.4% pure quantum), indicating a favorable performance--stability--cost trade-off.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 12 of its 24 references that are in the map. First posted on arXiv 21 Sep 2025.

Builds on

12 of 24 references.

References · 12

  1. 2017Attention Is All You Needcited by 60,361
  2. 2019Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastingcited by 761
  3. 2018Supervised learning with quantum enhanced feature spacescited by 665
  4. 2021Supervised quantum machine learning models are kernel methodscited by 200
  5. 2022Quantum Vision Transformerscited by 48
  6. 2022Quantum Self-Attention Neural Networks for Text Classificationcited by 43
  7. 2025Quantum Adaptive Self-Attention for Quantum Transformer Modelscited by 14
  8. 2020Improved Price Oracles: Constant Function Market Makerscited by 12
  9. 2021Strategic Liquidity Provision in Uniswap v3cited by 11
  10. 2025Benchmarking Classical and Quantum Models for DeFi Yield Prediction on Curve Financecited by 4
  11. 2025Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architecturescited by 4
  12. 2021Replicating Market Makerscited by 2

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Cited by year (2026 to 14 Oct)

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

2 papers.

  1. 2026Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learningcited by 4
  2. 2025Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Studycited by 1