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Publications & Research Output
Peer-reviewed articles, conference proceedings, and academic contributions
1
DeepMath-Creative: A Benchmark for Evaluating Mathematical Creativity of Large Language Models
Authors: X Chen, X Dai, Y Du, Q Feng, N Guo, T Gu, Y Gao, Y Gao, X Han, X Jiang, ...
Venue: arXiv:2505.08744
(2025)
2
A Gentle Introduction to Quantum Machine Learning
Authors: Y Du, X Wang, N Guo, Z Yu, Y Qian, K Zhang, MH Hsieh, P Rebentrost, ...
Publisher: Springer Nature
(2025)
3
Online Learning of Pure States is as Hard as Mixed States
Authors: M Meyer, S Adhikary, N Guo, P Rebentrost
Venue: arXiv preprint arXiv:2502.00823
(2025)
4
Quantum linear algebra is all you need for Transformer architectures
Authors: N Guo, Z Yu, M Choi, A Agrawal, K Nakaji, A Aspuru-Guzik, P Rebentrost
Venue: arXiv preprint arXiv:2402.16714
(2024)
Presentations: AQIS 2025 (Plenary Talk by Patrick), QTML 2025, NUS, NTU, FU Berlin, RWTH Aachen, CQT
5
Nonlinear transformation of complex amplitudes via quantum singular value transformation
Authors: N Guo, K Mitarai, K Fujii
Venue: Phys. Rev. Research
(2024)
Presentations: AQIS 2021, Nagoya University
6
Design nearly optimal quantum algorithm for linear differential equations via Lindbladians
Authors: ZX Shang, N Guo, D An, Q Zhao
Venue: Phys. Rev. Letters
(2025)
Presentations: AQIS 2025, University of Latvia, Joint CQT-MCQST workshop, CQT, QIOP 2025
7
Provable learning of quantum states with graphical models
Authors: L Zhao, N Guo, MX Luo, P Rebentrost
Venue: arXiv preprint arXiv:2309.09235
(2023)
Presentations: Peking U, HKUST(GZ), IPAM
8
Estimating properties of a quantum state by importance-sampled operator shadows
Authors: N Guo, F Pan, P Rebentrost
Venue: arXiv preprint arXiv:2305.09374
(2023)
Presentations: CQT, Peking U
9
Quantum Alphatron: quantum advantage for learning with kernels and noise
Authors: S Yang, N Guo, M Santha, P Rebentrost
Venue: Quantum
(2023)
Presentations: IPAM