Quantum and Classical Machine Learning in Decentralized Finance: Comparative Evidence from Multi-Asset Backtesting of Automated Market Makers

Documenti analoghi

• Quantum Adaptive Self-Attention for Financial Rebalancing: An Empirical Study on Automated Market Makers in Decentralized Finance
  di: Chen, Chi-Sheng, et al.
  Pubblicazione: (2025)
• Benchmarking Classical and Quantum Models for DeFi Yield Prediction on Curve Finance
  di: Chen, Chi-Sheng, et al.
  Pubblicazione: (2025)
• HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction
  di: Choudhary, Prashant Kumar, et al.
  Pubblicazione: (2025)
• Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
  di: Zhuang, Xi-Ning, et al.
  Pubblicazione: (2024)
• Improved Financial Forecasting via Quantum Machine Learning
  di: Thakkar, Sohum, et al.
  Pubblicazione: (2023)