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quant-ph2026
Modeling quantum neural network gradient with reinforcement learning
Nhan Trong Luu, Duong Trung Luu, Nam Ngoc Pham +1
Training quantum neural networks (QNNs) on near-term hardware remains hampered by two compounding difficulties: the exponential vanishing of gradient variance known as the barren p…
quant-ph2024★ 1 cited
Optical Quantum Mixed-State Reconstruction With Multiple Deep Learning Approaches
Nhan Trong Luu, Tuyen Quang Nguyen, Duong Trung Luu +1
Quantum state tomography is a crucial technique for characterizing the state of a quantum system, which is essential for many applications in quantum technologies. In recent years,…