Jayne Thompson
Jayne Thompson
Institute of High Performance Computing, A*STAR
Verified email at
Cited by
Cited by
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
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
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
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
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
Practical unitary simulator for non-Markovian complex processes
FC Binder, J Thompson, M Gu
Physical review letters 120 (24), 240502, 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
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
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
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
Using quantum theory to simplify input–output processes
J Thompson, AJP Garner, V Vedral, M Gu
npj Quantum Information 3 (1), 1-8, 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
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
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
Thermodynamics of complexity and pattern manipulation
AJP Garner, J Thompson, V Vedral, M Gu
Physical Review E 95 (4), 042140, 2017
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
The classical-quantum divergence of complexity in modelling spin chains
WY Suen, J Thompson, AJP Garner, V Vedral, M Gu
Quantum 1, 25, 2017
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
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
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
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