| Quantum machine learning for quantum anomaly detection N Liu, P Rebentrost Physical Review A 97, 042315, 2018 | 87 | 2018 |
| Quantum noise protects quantum classifiers against adversaries Y Du, MH Hsieh, T Liu, D Tao, N Liu Physical Review Research 3, 023153, 2021 | 59 | 2021 |
| Power of one qumode for quantum computation N Liu, J Thompson, C Weedbrook, S Lloyd, V Vedral, M Gu, K Modi Physical Review A 93 (5), 052304, 2016 | 45 | 2016 |
| Vulnerability of quantum classification to adversarial perturbations N Liu, P Wittek Physical Review A 101, 062331, 2020 | 36 | 2020 |
| The Quantum Internet P Rohde, Z Huang, H Huang, Z Su, S Harrison, T Byrnes, J Dowling, ... Cambridge University Press, 2021 | 27 | 2021 |
| Quantum thermodynamics for a model of an expanding universe N Liu, J Goold, I Fuentes, V Vedral, K Modi, DE Bruschi Classical and Quantum Gravity 33 (3), 035003, 2016 | 24 | 2016 |
| Client-friendly continuous-variable blind and verifiable quantum computing N Liu, T Demarie, SH Tan, L Aolita, J Fitzsimons Physical Review A 100, 062309, 2019 | 17 | 2019 |
| Quantum-enhanced multi-parameter estimation for unitary photonic systems N Liu, H Cable Quantum Science and Technology, 2017 | 16 | 2017 |
| Time complexity analysis of quantum difference methods for linear high dimensional and multiscale partial differential equations S Jin, N Liu, Y Yu Journal of Computational Physics 471, 111641, 2022 | 13 | 2022 |
| Quantum algorithms for computing observables of nonlinear partial differential equations S Jin, N Liu arXiv:2202.07834, 2022 | 12 | 2022 |
| Efficient verification of continuous-variable quantum states and devices without assuming identical and independent preparation Y Wu, G Bai, G Chiribella, N Liu Physical Review Letters 126 (24), 240503, 2021 | 11 | 2021 |
| Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing M Weber, N Liu, B Li, C Zhang, Z Zhao npj Quantum Information 7 (76), 2021 | 10 | 2021 |
| Quantum simulation of partial differential equations via Schrodingerisation: technical details S Jin, N Liu, Y Yu arXiv: 2212.14703, 2022 | 8 | 2022 |
| Quantum simulation in the semi-classical regime S Jin, X Li, N Liu Quantum 6, 739, 2022 | 6 | 2022 |
| Time complexity analysis of quantum algorithms via linear representations for nonlinear ordinary and partial differential equations S Jin, N Liu, Y Yu Journal of Computational Physics 487, 112149, 2023 | 5 | 2023 |
| Quantum simulation of discrete linear dynamical systems and simple iterative methods in linear algebra via Schrodingerisation S Jin, N Liu arXiv: 2304.02865, 2023 | 2 | 2023 |
| Quantum algorithms for uncertainty quantification: application to partial differential equations F Golse, S Jin, N Liu arXiv: 2209.11220, 2022 | 2 | 2022 |
| Tangible reduction in learning sample complexity with large classical samples and small quantum system W Song, M Wiesniak, N Liu, M Pawlowski, J Lee, J Kim, J Bang Quantum Information Processing 20, 275, 2021 | 2 | 2021 |
| Quantum Simulation for Quantum Dynamics with Artificial Boundary Conditions S Jin, X Li, N Liu, Y Yu arXiv: 2304.00667, 2023 | 1 | 2023 |
| Quantum-Enhanced Learning of Continuous-Variable Quantum States Y Wu, G Chiribella, N Liu arXiv:2303.05097, 2023 | 1 | 2023 |
Vlatko VedralProfessor of Quantum Information, University of OxfordVerified email at physics.ox.ac.uk
