1 citations · 1 across the 2 of their papers we have counts for
3 papers
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…
Direct-to-Event Spiking Neural Network Transfer
Nhan Trong Luu, Duong Trung Luu, Pham Ngoc Nam +1
Spiking Neural Networks (SNNs) have gained increasing attention due to their potential for low-power computation on neuromorphic hardware. A widely adopted training strategy for SN…
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,…