HPQS is a weighted blend of PQC measurement estimates and neural quantum state predictions that improves finite-shot accuracy and perplexity on MNIST classification, Quantum-Train parameter generation, and LLM LoRA fine-tuning.
Effect of data encoding on the expres- sive power of variational quantum-machine-learning models.Physical Review A, 103(3):032430, 2021
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Hybrid Parameterized Quantum States for Variational Quantum Learning
HPQS is a weighted blend of PQC measurement estimates and neural quantum state predictions that improves finite-shot accuracy and perplexity on MNIST classification, Quantum-Train parameter generation, and LLM LoRA fine-tuning.