Naixu Guo

According to our database, Naixu Guo authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

COMPOSITE-Stem.

Kyle Waters, Lucas Nuzzi, Tadhg Looram, Alessandro Tomasiello, Ariel Ghislain Kemogne Kamdoum, Bikun Li, Damien Sileo, Egor Kretov, Francesco Fournier-Facio, Georgios Soloupis, Haile Kassahun, Hew Wolff, Jiaqi Cai, Lianghui Li, Marc Roth, Mohinder Naiya, Naixu Guo, Qicheng Tang, Richard Wheeler, Samuele Sala, Serguei Popov, Steven Dillmann, Yuqi Li

CoRR, April, 2026

AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios.

Kaiyuan Chen, Qimin Wu, Taiyu Hou, Tianhao Tang, Xueyu Hu, Yuchen Hou, Bikun Li, Chengming Qian, Guoyin Wang, Haolin Chen, Haotong Tian, Haoye Zhang, Haoyu Bian, Hongbing Pan, Hongkang Zhang, Hongyi Zhou, Jiaqi Cai, Jiewu Rao, Jiyuan Ren, Keduan Huang, Lucia Zhu Huang, Mingyu Yuan, Naixu Guo, Qicheng Tang, Qinyan Zhang, Shuai Chen, Siheng Chen, Ting Ting Li, Xiaoxing Guo, Yaocheng Zuo, Yaoqi Guo, Yinan Wang, Yinzhou Yu, Yize Wang, Yuan Jiang, Yuan Tian, Yuanshuo Zhang, Yuxuan Liu, Yvette Yan Zeng, Zenyu Shan, Zihan Yin, Xiaobo Hu, Yang Liu, Yixin Ren, Yuan Gong

CoRR, January, 2026

2025

Accelerating Inference for Multilayer Neural Networks with Quantum Computers.

Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirandë Pira, Patrick Rebentrost

CoRR, October, 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, Yilin Jin, Hongyi Lin, Shisheng Lin, Xiangnan Li, Yuante Li, Yixing Li, Zhentao Lai, Zilu Ma, Yingrong Peng, Jiacheng Qian, Hao-Yu Sun, Jianbo Sun, Zirui Wang, Siwei Wu, Zian Wang, Bin Xu, Jianghao Xu, Yiyang Yu, Zichuan Yang, Hongji Zha, Ruichong Zhang

CoRR, May, 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, February, 2025

Online Learning of Pure States is as Hard as Mixed States.

Maxime Meyer, Soumik Adhikary, Naixu Guo, Patrick Rebentrost

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Quantum linear algebra is all you need for Transformer architectures.

Naixu Guo, Zhan Yu, Aman Agrawal, Patrick Rebentrost

CoRR, 2024

2023

Quantum Alphatron: quantum advantage for learning with kernels and noise.

Siyi Yang, Naixu Guo, Miklos Santha, Patrick Rebentrost

Quantum, November, 2023

Provable learning of quantum states with graphical models.

Liming Zhao, Naixu Guo, Ming-Xing Luo, Patrick Rebentrost

CoRR, 2023

2021

Nonlinear transformation of complex amplitudes via quantum singular value transformation.

Naixu Guo, Kosuke Mitarai, Keisuke Fujii

CoRR, 2021