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Publications & Research Output
Peer-reviewed articles, conference proceedings, and academic contributions
1
Fast-forwardable Lindbladians imply quantum phase estimation
Authors: Zhong-Xia Shang, Naixu Guo (co-first author), Patrick Rebentrost, Alán Aspuru-Guzik, Tongyang Li, Qi Zhao
Annual Quantum Information Processing Conference (QIP), 2026; arXiv:2510.06759, 2025
Presentations: U of Toronto, IQC and U of Waterloo, U of Oxford and Quantum Motion, Quantinuum
2
Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Authors: Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirandë Pira, Patrick Rebentrost
arXiv:2510.07195, 2025
Presentations: QTML 2025
3
Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
Authors: Yuxuan Du, Xinbiao Wang, Naixu Guo, Zhan Yu, Yang Qian, Kaining Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Dacheng Tao
Springer Nature, 2025
4
Online Learning of Pure States is as Hard as Mixed States
Authors: Maxime Meyer, Soumik Adhikary, Naixu Guo, Patrick Rebentrost
Neural Information Processing Systems (NeurIPS), 2025
5
Quantum linear algebra is all you need for Transformer architectures
Authors: Naixu Guo, Zhan Yu, Matthew Choi, Yizhan Han, Aman Agrawal, Kouhei Nakaji, Alán Aspuru-Guzik, Patrick Rebentrost
arXiv:2402.16714, 2024
Presentations: AQIS 2025 (Plenary by Patrick), QTML 2024, CQT, NUS, NTU, FU Berlin, RWTH Aachen
6
Design nearly optimal quantum algorithm for linear differential equations via Lindbladians
Authors: Zhong-Xia Shang, Naixu Guo, Dong An, Qi Zhao
Phys. Rev. Letters (PRL), 2025
Presentations: AQIS 2025 by Zhong-Xia, CQT, Joint CQT-MCQST workshop, U of Latvia, QIOP 2025, University of Toronto, IQC, Oxford and Quantum Motion, Quantinuum
7
Nonlinear transformation of complex amplitudes via quantum singular value transformation
Authors: Naixu Guo, Kosuke Mitarai, Keisuke Fujii
Physical Review Research (PRR), 2024
Presentations: AQIS 2021, Nagoya University
8
Provable learning of quantum states with graphical models
Authors: Liming Zhao, Naixu Guo, Ming-Xing Luo, Patrick Rebentrost
arXiv:2309.09235, 2023
Presentations: Peking U, HKUST GZ, IPAM
9
Estimating properties of a quantum state by importance-sampled operator shadows
Authors: Naixu Guo, Feng Pan, Patrick Rebentrost
arXiv:2305.09374, 2023
Presentations: CQT, Peking U
10
Quantum Alphatron: quantum advantage for learning with kernels and noise
Authors: Siyi Yang, Naixu Guo, Miklos Santha, Patrick Rebentrost
Quantum, 2023
Presentations: IPAM
