| An optical neural chip for implementing complex-valued neural network H Zhang, M Gu, XD Jiang, J Thompson, H Cai, S Paesani, R Santagati, ... Nature communications 12 (1), 457, 2021 | 793 | 2021 |
| Space-efficient optical computing with an integrated chip diffractive neural network HH Zhu, J Zou, H Zhang, YZ Shi, SB Luo, N Wang, H Cai, LX Wan, ... Nature communications 13 (1), 1044, 2022 | 277 | 2022 |
| Operational resource theory of continuous-variable nonclassicality B Yadin, FC Binder, J Thompson, V Narasimhachar, M Gu, MS Kim Physical Review X 8 (4), 041038, 2018 | 141 | 2018 |
| Efficient on-chip training of optical neural networks using genetic algorithm H Zhang, J Thompson, M Gu, XD Jiang, H Cai, PY Liu, Y Shi, Y Zhang, ... Acs Photonics 8 (6), 1662-1672, 2021 | 114 | 2021 |
| How discord underlies the noise resilience of quantum illumination C Weedbrook, S Pirandola, J Thompson, V Vedral, M Gu New Journal of Physics 18 (4), 043027, 2016 | 111 | 2016 |
| Practical unitary simulator for non-Markovian complex processes FC Binder, J Thompson, M Gu Physical review letters 120 (24), 240502, 2018 | 77 | 2018 |
| Experimental cyclic interconversion between coherence and quantum correlations KD Wu, Z Hou, YY Zhao, GY Xiang, CF Li, GC Guo, J Ma, QY He, ... Physical review letters 121 (5), 050401, 2018 | 68 | 2018 |
| Causal asymmetry in a quantum world J Thompson, AJP Garner, JR Mahoney, JP Crutchfield, V Vedral, M Gu Physical Review X 8 (3), 031013, 2018 | 55 | 2018 |
| 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 | 51 | 2016 |
| Geometry of quantum correlations in space-time Z Zhao, R Pisarczyk, J Thompson, M Gu, V Vedral, JF Fitzsimons Physical Review A 98 (5), 052312, 2018 | 48 | 2018 |
| Unified approach to contextuality, nonlocality, and temporal correlations M Markiewicz, P Kurzyński, J Thompson, SY Lee, A Soeda, T Paterek, ... Physical Review A 89 (4), 042109, 2014 | 47 | 2014 |
| Extreme dimensionality reduction with quantum modeling TJ Elliott, C Yang, FC Binder, AJP Garner, J Thompson, M Gu Physical Review Letters 125 (26), 260501, 2020 | 42 | 2020 |
| Using quantum theory to simplify input–output processes J Thompson, AJP Garner, V Vedral, M Gu npj Quantum Information 3 (1), 1-8, 2017 | 42 | 2017 |
| Quantum plug n’play: modular computation in the quantum regime J Thompson, K Modi, V Vedral, M Gu New Journal of Physics 20 (1), 013004, 2018 | 40 | 2018 |
| Provably unbounded memory advantage in stochastic simulation using quantum mechanics AJP Garner, Q Liu, J Thompson, V Vedral New Journal of Physics 19 (10), 103009, 2017 | 36 | 2017 |
| The classical-quantum divergence of complexity in modelling spin chains WY Suen, J Thompson, AJP Garner, V Vedral, M Gu Quantum 1, 25, 2017 | 36 | 2017 |
| Thermodynamics of complexity and pattern manipulation AJP Garner, J Thompson, V Vedral, M Gu Physical Review E 95 (4), 042140, 2017 | 36* | 2017 |
| Dimensional quantum memory advantage in the simulation of stochastic processes F Ghafari, N Tischler, J Thompson, M Gu, LK Shalm, VB Verma, SW Nam, ... Physical Review X 9 (4), 041013, 2019 | 35 | 2019 |
| Interfering trajectories in experimental quantum-enhanced stochastic simulation F Ghafari, N Tischler, C Di Franco, J Thompson, M Gu, GJ Pryde Nature communications 10 (1), 1630, 2019 | 30 | 2019 |
| Towards quantifying complexity with quantum mechanics R Tan, D R. Terno, J Thompson, V Vedral, M Gu The European Physical Journal Plus 129 (9), 191, 2014 | 29 | 2014 |
Mile GuAssociate Professor and Deputy Director, Nanyang Quantum Hub, Nanyang Technological UniversityZweryfikowany adres z nus.edu.sg
