A Quantum-Classical Hybrid Framework for Multivariate Time-Series Forecasting Complexity-Fidelity Trade-offs and Limitations
arXiv 2607.16358•a31350b30f9111b9b50c9e11753145ad03d0417ae66a1bc458945366a49730d5
NISQcold-startlabel-biasmodel-systemsmultimodalproduction-deploymentquantum-computingrecommender-systemsretrievalscalabilitysparse-embeddingstemporal-leakagetime-seriestrie-optimizationuncertainty
Paper metadata
- arXiv ID
- 2607.16358
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
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Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- a31350b30f9111b9b50c9e11753145ad03d0417ae66a1bc458945366a49730d5
- Enrichment time
- 2026-07-21T08:52:26Z
- AI-assisted enrichment
- Yes
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