2 papers
q-fin.CP2026
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Ying Chen, Paul Griffin, Paolo Recchia +2
Recovery rate prediction plays a pivotal role in bond investment strategies by enhancing risk assessment, optimizing portfolio allocation, improving pricing accuracy, and supportin…
quant-ph2025
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning
Hari Hara Suthan Chittoor, Paul Robert Griffin, Ariel Neufeld +2
Long-term time series forecasting (LTSF) involves predicting a large number of future values of a time series based on the past values. This is an essential task in a wide range of…