Active-Learning-Strategies-in-QNNs
PublicSoftware optimization for Hybrid Quantum Classifiers (VQA). Investigating the trade-off between Label Efficiency (2P+8A) and Training Robustness (σ) in NISQ environments, aligning with Trustworthy AI.
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Software optimization for Hybrid Quantum Classifiers (VQA). Investigating the trade-off between Label Efficiency (2P+8A) and Training Robustness (σ) in NISQ environments, aligning with Trustworthy AI.