Nathan Killoran

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

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Nathan Killoran

Xanadu Quantum Technologies

Dirección de correo verificada de xanadu.ai

quantum computing quantum machine learning quantum software


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1142	2018
Evaluating analytic gradients on quantum hardware M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran Physical Review A 99 (3), 032331, 2019	1125	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	504	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	378	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	364	2019
Transfer learning in hybrid classical-quantum neural networks A Mari, TR Bromley, J Izaac, M Schuld, N Killoran Quantum 4, 340, 2020	334	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	194	2014
Is quantum advantage the right goal for quantum machine learning? M Schuld, N Killoran Prx Quantum 3 (3), 030101, 2022	193	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	136	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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