arxiv
PublishedNovember 14, 2026 at 5:00 AM
Quantum Recurrent Architectures for Financial Time Series Prediction
Publisher summary· verbatim
arXiv:2611.15298v1 Announce Type: cross Abstract: This study evaluates quantum classical hybrid recurrent architectures for financial time-series forecasting: a Quantum Long Short-Term Memory (QLSTM) network and Quantum Reservoir Computing (QRC) with lag-based inputs. Classical lag vectors are encod
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMach2: Scientific Discovery Platform with Deterministic Execution Constraints18harxivOverServe: Resource Amplification Attacks on SaaS Agents via Tool--Prompt Co-Design18harxivCFGComposer: Compositional Audio-Text-to-Motion Generation via Copula Score Correction18harxivMulti-View 3D Reconstruction Using V-JEPA Features18hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗