most citedOptical Quantum Mixed-State Reconstruction With Multiple Deep Learning Approaches

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6 papers

quant-ph20261 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,…

cs.NE2026

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…

cs.NE2025

Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload

Luu Trong Nhan, Luu Trung Duong, Pham Ngoc Nam +1

The rapid advancement of artificial intelligence (AI) and deep learning (DL) has catalyzed the emergence of several optimization-driven subfields, notably neuromorphic computing an…

cs.NE2025

Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training

Luu Trong Nhan, Luu Trung Duong, Pham Ngoc Nam +1

Spiking neural networks (SNNs) have emerged as a promising direction in both computational neuroscience and artificial intelligence, offering advantages such as strong biological p…

cs.NE2025

Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail

Luu Trong Nhan, Luu Trung Duong, Pham Ngoc Nam +1

Spiking Neural Networks (SNNs) have attracted growing interest in both computational neuroscience and artificial intelligence, primarily due to their inherent energy efficiency and…

cs.NE2025

Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure

Nhan T. Luu, Duong T. Luu, Pham Ngoc Nam +1

Spiking Neural Networks (SNNs) have gained significant traction in both computational neuroscience and artificial intelligence for their potential in energy-efficient computing. In…