Fragment classification is efficiently learnable by quantum neural networks under suitable conditions but resists known classical dequantization techniques.
Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J
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Fragmentation is Efficiently Learnable by Quantum Neural Networks
Fragment classification is efficiently learnable by quantum neural networks under suitable conditions but resists known classical dequantization techniques.
- Enabling Lie-Algebraic Classical Simulation beyond Free Fermions