| Quantum machine learning for quantum anomaly detection N Liu, P Rebentrost Physical Review A 97, 042315, 2018 | 123 | 2018 |
| Quantum noise protects quantum classifiers against adversaries Y Du, MH Hsieh, T Liu, D Tao, N Liu Physical Review Research 3, 023153, 2021 | 101 | 2021 |
| Vulnerability of quantum classification to adversarial perturbations N Liu, P Wittek Physical Review A 101, 062331, 2020 | 56 | 2020 |
| 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 | 49 | 2016 |
| Quantum simulation of partial differential equations via Schrodingerisation: technical details S Jin, N Liu, Y Yu arXiv preprint arXiv:2212.14703, 2022 | 41 | 2022 |
| The Quantum Internet P Rohde, Z Huang, H Huang, Z Su, S Harrison, T Byrnes, J Dowling, ... Cambridge University Press, 2021 | 40 | 2021 |
| 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 | 36 | 2023 |
| Quantum algorithms for computing observables of nonlinear partial differential equations S Jin, N Liu Bulletin des Sciences Mathematiques 194 (103457), 2022 | 34 | 2022 |
| 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 | 26 | 2016 |
| Quantum simulation of partial differential equations: applications and detailed analysis S Jin, N Liu, Y Yu Physical Review A 108, 032603, 2023 | 25 | 2023 |
| 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 | 20 | 2022 |
| 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 | 19 | 2021 |
| Quantum-enhanced multi-parameter estimation for unitary photonic systems N Liu, H Cable Quantum Science and Technology, 2017 | 19 | 2017 |
| 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 | 16 | 2019 |
| 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 | 15 | 2021 |
| Analog quantum simulation of partial differential equations S Jin, N Liu Quantum Science and Technology 9, 035047, 2024 | 13 | 2024 |
| Quantum Simulation for Partial Differential Equations with Physical Boundary or Interface Conditions S Jin, X Li, N Liu, Y Yu Journal of Computational Physics 498, 112707, 2024 | 13 | 2024 |
| Quantum simulation of discrete linear dynamical systems and simple iterative methods in linear algebra via Schrodingerisation S Jin, N Liu Proceedings of the Royal Society A 480, 20230370, 2024 | 13 | 2024 |
| Quantum simulation of Maxwell’s equations via Schrodingerisation S Jin, N Liu, C Ma arXiv: 2308.08408, 2023 | 10 | 2023 |
| Quantum Simulation for Quantum Dynamics with Artificial Boundary Conditions S Jin, X Li, N Liu, Y Yu arXiv: 2304.00667, 2023 | 10 | 2023 |
Vlatko VedralProfessor of Quantum Information, University of OxfordVerified email at physics.ox.ac.uk
