Papers

• Quantum Reservoir Computing for Statistical Classification in a Superconducting Quantum Circuit (2026)
  J. J. Prieto-Garcia et al.
  1.67
• Hybrid Quantum-Classical Ensemble Learning for S\&P 500 Directional Prediction (2025)
  Abraham Itzhak Weinberg
  1.56
• Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers (2025)
  Chi-Sheng Chen and Aidan Hung-Wen Tsai
  1.44
• Benchmarking Classical and Quantum Models for DeFi Yield Prediction on Curve Finance (2025)
  Chi-Sheng Chen and Aidan Hung-Wen Tsai
  1.33
• Quantum generative modeling for financial time series with temporal correlations (2025)
  David Dechant et al.
  1.28
• Quantum Reservoir Computing for Realized Volatility Forecasting (2025)
  Qingyu Li et al.
  1.17
• HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction (2025)
  Prashant Kumar Choudhary et al.
  1.06
• Quantum Computing for Finance: State of the Art and Future Prospects (2020)
  Daniel J. Egger et al.
  —
• Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks (2020)
  Samuel Mugel et al.
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• Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications (2022)
  Xi-Ning Zhuang et al.
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• Improved Financial Forecasting via Quantum Machine Learning (2023)
  Sohum Thakkar (1) et al.
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• Real-time Trading System based on Selections of Potentially Profitable, Uncorrelated, and Balanced Stocks by NP-hard Combinatorial Optimization (2023)
  Kosuke Tatsumura et al.
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• On the potential of quantum walks for modeling financial return distributions (2024)
  Stijn De Backer et al.
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• Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning (2024)
  Javier Mancilla et al.
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• Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance (2024)
  Xi-Ning Zhuang et al.
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• Classification of Financial Data Using Quantum Support Vector Machine (2024)
  Seemanta Bhattacharjee et al.
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