Nonlinear transformation of complex amplitudes via quantum singular value transformation. - Naixu Guo; Kosuke Mitarai; Keisuke Fujii 004 (CoRR, 2021)

Provable learning of quantum states with graphical models. - Liming Zhao; Naixu Guo; Ming-Xing Luo; Patrick Rebentrost (CoRR, 2023)

Quantum Alphatron: quantum advantage for learning with kernels and noise. - Siyi Yang; Naixu Guo; Miklos Santha; Patrick Rebentrost (Quantum, 2023)

Quantum linear algebra is all you need for Transformer architectures. - Naixu Guo; Zhan Yu; Aman Agrawal; Patrick Rebentrost (CoRR, 2024)

Online Learning of Pure States is as Hard as Mixed States. - Maxime Meyer; Soumik Adhikary; Naixu Guo; Patrick Rebentrost (CoRR, 2025)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers. - Yuxuan Du; Xinbiao Wang; Naixu Guo; Zhan Yu; Yang Qian; Kaining Zhang; Min-Hsiu Hsieh; Patrick Rebentrost; Dacheng Tao (CoRR, 2025)

DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models. - Xiaoyang Chen; Xinan Dai; Yu Du; Qian Feng; Naixu Guo; Tingshuo Gu; Yuting Gao; Yingyi Gao; Xudong Han; Xiang Jiang 012; Yilin Jin; Hongyi Lin; et al. (CoRR, 2025)