Nathan Killoran
Nathan Killoran
Xanadu Quantum Technologies
Verified email at xanadu.ai
TitleCited byYear
Converting non-classicality into entanglement
N Killoran, FES Steinhoff, MB Plenio
Physical Review Letters 116, 080402, 2016
1162016
Extracting entanglement from identical particles
N Killoran, M Cramer, MB Plenio
Physical Review Letters 112, 150501, 2014
892014
Quantum machine learning in feature Hilbert spaces
M Schuld, N Killoran
Physical review letters 122 (4), 040504, 2019
612019
Atmospheric continuous-variable quantum communication
B Heim, C Peuntinger, N Killoran, I Khan, C Wittmann, C Marquardt, ...
New Journal of Physics 16, 113018, 2014
612014
Enhancing light-harvesting power with coherent vibrational interactions: A quantum heat engine picture
N Killoran, SF Huelga, MB Plenio
The Journal of Chemical Physics 143, 155102, 2015
592015
Resource theory of superposition
T Theurer, N Killoran, D Egloff, MB Plenio
Physical review letters 119 (23), 230401, 2017
542017
Coherent control of quantum systems as a resource theory
JM Matera, D Egloff, N Killoran, MB Plenio
Quantum Science and Technology 1 (1), 01LT01, 2016
512016
Derivation and experimental test of fidelity benchmarks for remote preparation of arbitrary qubit states
N Killoran, DN Biggerstaff, R Kaltenbaek, KJ Resch, N Lütkenhaus
Physical Review A 81 (1), 012334, 2010
362010
Strawberry fields: A software platform for photonic quantum computing
N Killoran, J Izaac, N Quesada, V Bergholm, M Amy, C Weedbrook
Quantum 3, 129, 2019
292019
Quantum generative adversarial networks
PL Dallaire-Demers, N Killoran
Physical Review A 98 (1), 012324, 2018
282018
Continuous-variable quantum neural networks
N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd
arXiv preprint arXiv:1806.06871, 2018
282018
Machine learning method for state preparation and gate synthesis on photonic quantum computers
JM Arrazola, TR Bromley, J Izaac, CR Myers, K Brádler, N Killoran
Quantum Science and Technology, 2018
242018
Strong quantitative benchmarking of quantum optical devices
N Killoran, N Lütkenhaus
Physical Review A 83 (5), 052320, 2011
202011
Evaluating analytic gradients on quantum hardware
M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran
Physical Review A 99 (3), 032331, 2019
182019
Generating and designing DNA with deep generative models
N Killoran, LJ Lee, A Delong, D Duvenaud, BJ Frey
arXiv preprint arXiv:1712.06148, 2017
182017
Optimal working points for continuous-variable quantum channels
I Khan, C Wittmann, N Jain, N Killoran, N Lütkenhaus, C Marquardt, ...
Physical Review A 88 (1), 010302, 2013
172013
Quantum throughput: Quantifying quantum-communication devices with homodyne measurements
N Killoran, H Häseler, N Lütkenhaus
Physical Review A 82 (5), 052331, 2010
152010
Quantum benchmarking with realistic states of light
N Killoran, M Hosseini, BC Buchler, PK Lam, N Lütkenhaus
Physical Review A 86 (2), 022331, 2012
132012
Gaussian boson sampling using threshold detectors
N Quesada, JM Arrazola, N Killoran
Physical Review A 98 (6), 062322, 2018
102018
Pennylane: Automatic differentiation of hybrid quantum-classical computations
V Bergholm, J Izaac, M Schuld, C Gogolin, N Killoran
arXiv preprint arXiv:1811.04968, 2018
92018
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Articles 1–20