Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction

arXiv:2609.17358 · cs.LG, stat.ML · Submitted 2026-09-15 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-09-15

Updated: 2026-09-15

Journal ref: The Seventeenth International Conference on Information, Intelligence, Systems and Applications (IISA 2026), Jul 2026, Rhodes Island, Greece, Greece

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantum Circuits — 11× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Entanglement — 5× in this paper · explained in 3 episodes
• Ablation study — 4× in this paper · explained in 1 episode
• Hilbert Space — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Conference on Quantum Computing and Engineering — 2× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Supervised quantum machine learning models are kernel methods

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