BT
Ban Q. Tran
quant-phcs.NAmath.NAphysics.flu-dyn
On Valency
published · living versionsW_xwrr5vuc·v1 · currentpublished
Fully Quantum Latent Diffusion for Synthetic Malware Records: Effective Denoising, Limited Class Information, and Costly Post-Selection
with Quang Duy Tran, Anh H. Nguyen, Ziwen Pan, Tommy Dang +1
1 version
Preprints & journals
8 papers in the corpus · 2025–2026On Embedding Design in Quantum Physics-Informed Neural Networks2609.33700v1 · Ban Q. Tran, Nahid Binandeh Dehaghani, Susan Mengel et al.2026 · 0 citationsarXiv
A QPINN Framework with Quantum Trainable Embeddings for the Lid-Driven Cavity Problem2605.13892v1 · Nahid Binandeh Dehaghani, Ban Q. Tran, Susan Mengel et al.2026 · 0 citationsarXiv
A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks2604.26110v1 · Ban Q. Tran, Duong M. Chu, Hai T.D. Pham et al.2026 · 0 citationsarXiv
Quantum Patches: Enhancing Robustness of Quantum Machine Learning Models2604.08827v1 · Ban Q. Tran, Chuong K. Luong, Viet Q. Nguyen et al.2026 · 0 citationsarXiv
Quantum-Assisted Trainable-Embedding Physics-Informed Neural Networks for Parabolic PDEs2602.14596v1 · Ban Q. Tran, Nahid Binandeh Dehaghani, Rafal Wisniewski et al.2026 · 0 citationsarXiv
Quantum-Inspired Tensor Networks for Approximating PDE Flow Maps2602.15906v1 · Nahid Binandeh Dehaghani, Ban Q. Tran, Rafal Wisniewski et al.2026 · 0 citationsarXiv
A Trainable-Embedding Quantum Physics-Informed Framework for Multi-Species Reaction-Diffusion Systems2602.09291v1 · Ban Q. Tran, Nahid Binandeh Dehaghani, A. Pedro Aguiar et al.2026 · 0 citationsarXiv
Quantum-Assisted Learning of Time-Dependent Parabolic PDEs2508.17553v1 · Nahid Binandeh Dehaghani, Ban Tran, A. Pedro Aguiar et al.2025 · 0 citationsarXiv
Career total: 26 works. 8 are in this corpus.
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