Quantum Encoding Agents: A Natural Language Interface for Data Embedding Strategy Selection in Quantum Machine Learning
quant-ph
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/anapaulaappel/quantum-encoding-agents
Terminology
Sources
- Fractal dimension predicts quantum kernel collapse in angle-encoded data
- Spectral methods: crucial for machine learning, natural for quantum computers?
- Tucker iterative quantum state preparation
- Machine Failure Detection Based on Projected Quantum Models
- Better than classical? The subtle art of benchmarking quantum machine learning models
- Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers
- Credit Default Prediction with Projected Quantum Feature Models and Ensembles
- Quantum feature encoding optimization
- AI Agents for Variational Quantum Circuit Design
- Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design
- An LLM System for Autonomous Variational Quantum Circuit Design
- Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines
- Supervised quantum machine learning models are kernel methods
- Quenched Quantum Feature Maps
- Optimizing Ansatz Design in Quantum Generative Adversarial Networks Using Large Language Models
- Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
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