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quant-ph2026
Equivalence of maximal and generic reachability for non-universal Variational Quantum Circuits
Vishal S. Ngairangbam, Michael Spannowsky
Employing problem-specific non-universal Variational Quantum Circuits aligned with a suitable state preparation has become a standard approach to counter the difficulty in training…
quant-ph2026
From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
Vishal S. Ngairangbam, Michael Spannowsky
Classical deep networks are effective because depth enables adaptive geometric deformation of data representations. In quantum neural networks (QNNs), however, depth or state reach…