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quant-ph2026
A Modular Benchmark of Variational Quantum Attack Algorithms for S-DES
Zeguo Wang, Quanfeng Lu, Wentao Yang +3
Variational quantum algorithms (VQAs) have emerged as a promising approach to quantum cryptanalysis on noisy intermediate-scale quantum (NISQ) devices. Although numerous variationa…
quant-ph2026
Trainable Quantum Channels as Computational Primitives for Quantum Learning
Jingwei Wen, Runqing Zhang, Xusheng Xu +6
Variational quantum learning is traditionally constrained to unitary dynamics, often treating quantum channels as detrimental noise. In this work, we reformulate the quantum channe…