Nathan Killoran

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Coauteurs

Maria SchuldQuantum Machine Learning research lead at XanaduAdresse e-mail validée de xanadu.ai
Josh IzaacXanadu Quantum Technologies, Inc.Adresse e-mail validée de uwa.edu.au
Juan Miguel ArrazolaXanadu Quantum TechnologiesAdresse e-mail validée de xanadu.ai
Martin B PlenioProfessor of Theoretical Physics, Universität Ulm, GermanyAdresse e-mail validée de uni-ulm.de
Norbert LutkenhausInstitute for Quantum Computing, and Department of Physics & Astronomy, University of WaterlooAdresse e-mail validée de uwaterloo.ca
Christoph MarquardtFriedrich-Alexander-Universität Erlangen-Nürnberg and Max Planck Institute for the Science of LightAdresse e-mail validée de mpl.mpg.de
Gerd LeuchsMax Planck Institute for the Science of LightAdresse e-mail validée de mpl.mpg.de
Marcus CramerITP, Leibniz Universität HannoverAdresse e-mail validée de itp.uni-hannover.de
Susana HuelgaProfessor of quantum physics, Ulm University, GermanyAdresse e-mail validée de uni-ulm.de
Rainer KaltenbaekUniversity of Ljubljana, Faculty of Mathematics and PhysicsAdresse e-mail validée de fmf.uni-lj.si
Kevin J ReschUniversity of WaterlooAdresse e-mail validée de iqc.ca
Ping Koy LAMA*STAR Chief Quantum Scientist & ANU Professor of PhysicsAdresse e-mail validée de anu.edu.au

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Nathan Killoran

Xanadu Quantum Technologies

Adresse e-mail validée de xanadu.ai

quantum computing quantum machine learning quantum software


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Quantum machine learning in feature hilbert spaces M Schuld, N Killoran Physical review letters 122 (4), 040504, 2019	1463	2019
Pennylane: Automatic differentiation of hybrid quantum-classical computations V Bergholm, J Izaac, M Schuld, C Gogolin, S Ahmed, V Ajith, MS Alam, ... arXiv preprint arXiv:1811.04968, 2018	1135	2018
Evaluating analytic gradients on quantum hardware M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran Physical Review A 99 (3), 032331, 2019	1117	2019
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	591	2021
Quantum generative adversarial networks PL Dallaire-Demers, N Killoran Physical Review A 98 (1), 012324, 2018	515	2018
Quantum natural gradient J Stokes, J Izaac, N Killoran, G Carleo Quantum 4, 269, 2020	502	2020
Continuous-variable quantum neural networks N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd Physical Review Research 1 (3), 033063, 2019	482	2019
Quantum embeddings for machine learning S Lloyd, M Schuld, A Ijaz, J Izaac, N Killoran arXiv preprint arXiv:2001.03622, 2020	376	2020
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	359	2019
Transfer learning in hybrid classical-quantum neural networks A Mari, TR Bromley, J Izaac, M Schuld, N Killoran Quantum 4, 340, 2020	335	2020
Converting non-classicality into entanglement N Killoran, FES Steinhoff, MB Plenio Physical Review Letters 116, 080402, 2016	219	2016
Generating and designing DNA with deep generative models N Killoran, LJ Lee, A Delong, D Duvenaud, BJ Frey arXiv preprint arXiv:1712.06148, 2017	196	2017
Extracting entanglement from identical particles N Killoran, M Cramer, MB Plenio Physical Review Letters 112, 150501, 2014	193	2014
Is quantum advantage the right goal for quantum machine learning? M Schuld, N Killoran Prx Quantum 3 (3), 030101, 2022	191	2022
Estimating the gradient and higher-order derivatives on quantum hardware A Mari, TR Bromley, N Killoran Physical Review A 103 (1), 012405, 2021	185	2021
Resource theory of superposition T Theurer, N Killoran, D Egloff, MB Plenio Physical review letters 119 (23), 230401, 2017	157	2017
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	156	2019
Applications of near-term photonic quantum computers: software and algorithms TR Bromley, JM Arrazola, S Jahangiri, J Izaac, N Quesada, AD Gran, ... Quantum Science and Technology 5 (3), 034010, 2020	135	2020
Gaussian boson sampling using threshold detectors N Quesada, JM Arrazola, N Killoran Physical Review A 98 (6), 062322, 2018	128	2018
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	124	2016

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