Nathan Killoran
Nathan Killoran
Xanadu Quantum Technologies
Verified email at xanadu.ai
Title
Cited by
Cited by
Year
Quantum machine learning in feature Hilbert spaces
M Schuld, N Killoran
Physical review letters 122 (4), 040504, 2019
3362019
Evaluating analytic gradients on quantum hardware
M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran
Physical Review A 99 (3), 032331, 2019
2102019
Converting non-classicality into entanglement
N Killoran, FES Steinhoff, MB Plenio
Physical Review Letters 116, 080402, 2016
1632016
Continuous-variable quantum neural networks
N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd
Physical Review Research 1 (3), 033063, 2019
1442019
Extracting entanglement from identical particles
N Killoran, M Cramer, MB Plenio
Physical Review Letters 112, 150501, 2014
1412014
Quantum generative adversarial networks
PL Dallaire-Demers, N Killoran
Physical Review A 98 (1), 012324, 2018
1312018
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
1152019
Pennylane: Automatic differentiation of hybrid quantum-classical computations
V Bergholm, J Izaac, M Schuld, C Gogolin, MS Alam, S Ahmed, ...
arXiv preprint arXiv:1811.04968, 2018
1152018
Resource theory of superposition
T Theurer, N Killoran, D Egloff, MB Plenio
Physical review letters 119 (23), 230401, 2017
952017
Quantum natural gradient
J Stokes, J Izaac, N Killoran, G Carleo
Quantum 4, 269, 2020
922020
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
912015
Atmospheric continuous-variable quantum communication
B Heim, C Peuntinger, N Killoran, I Khan, C Wittmann, C Marquardt, ...
New Journal of Physics 16, 113018, 2014
892014
Generating and designing DNA with deep generative models
N Killoran, LJ Lee, A Delong, D Duvenaud, BJ Frey
arXiv preprint arXiv:1712.06148, 2017
722017
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
712016
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 4 (2), 024004, 2019
622019
Quantum embeddings for machine learning
S Lloyd, M Schuld, A Ijaz, J Izaac, N Killoran
arXiv preprint arXiv:2001.03622, 2020
522020
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
422010
Quantum circuits with many photons on a programmable nanophotonic chip
JM Arrazola, V Bergholm, K Brádler, TR Bromley, MJ Collins, I Dhand, ...
Nature 591 (7848), 54-60, 2021
412021
Transfer learning in hybrid classical-quantum neural networks
A Mari, TR Bromley, J Izaac, M Schuld, N Killoran
Quantum 4, 340, 2020
392020
Gaussian boson sampling using threshold detectors
N Quesada, JM Arrazola, N Killoran
Physical Review A 98 (6), 062322, 2018
362018
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