AI RESEARCH
Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
arXiv CS.AI
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ArXi:2604.06135v1 Announce Type: cross Efficient data loading remains a bottleneck for near-term quantum machine-learning. Existing schemes (angle, amplitude, and basis encoding) either underuse the exponential Hilbert-space capacity or require circuit depths that exceed the coherence budgets of noisy intermediate-scale quantum hardware. We