3 citations · 3 across the 3 of their papers we have counts for
3 papers
quant-ph2025
Parallelizing the stabilizer formalism for quantum machine learning applications
Vu Tuan Hai, Le Vu Trung Duong, Pham Hoai Luan +1
The quantum machine learning model is emerging as a new model that merges quantum computing and machine learning. Simulating very deep quantum machine learning models requires a lo…
quant-ph2025★ 3 cited
A Fast Quantum Image Compression Algorithm based on Taylor Expansion
Vu Tuan Hai, Huynh Ho Thi Mong Trinh, Pham Hoai Luan
With the increasing demand for storing images, traditional image compression methods face challenges in balancing the compressed size and image quality. However, the hybrid quantum…
quant-ph2022
Universal compilation for quantum state preparation and tomography
Vu Tuan Hai, Le Bin Ho
Universal compilation is a training process that compiles a trainable unitary into a target unitary and it serves vast potential applications from quantum dynamic simulations to op…