Author

Thang Cong Truong

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Preprint Sep 2026

Modeling quantum neural network gradient with reinforcement learning

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 plateau, and the $\mathcal{O}(L \cdot 2^n)$ time and memory cost of differentiating through an $n$-qubit, $L$-layer circuit. We propose RLQ-G...

N. T. Luu, D. T. Luu, N. Pham et al. · 0 citations

Open access Aug 2026

Why temporal spike order reversal drops spiking network accuracy and how to partially mitigate it

This study identifies a critical vulnerability in SNNs on recently established bit-based codes: consistent performance degradation when temporal spike encoding orders are reversed, and measures the per-timestep class-mutual-information profile of six encodings directly and shows that the resulting concordance ordering...

N. T. Luu, Trung Duong Trung Luu, N. Pham et al. · Neuromorphic Computing and E... · 0 citations