Nathan Killoran

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

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Nathan Killoran

Xanadu Quantum Technologies

Preverjeni e-poštni naslov na xanadu.ai

quantum computing quantum machine learning quantum software


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Quantum machine learning in feature Hilbert spaces M Schuld, N Killoran Physical review letters 122 (4), 040504, 2019	1464	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	1194	2018
Evaluating analytic gradients on quantum hardware M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran Physical Review A 99 (3), 032331, 2019	1143	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	601	2021
Quantum natural gradient J Stokes, J Izaac, N Killoran, G Carleo Quantum 4, 269, 2020	516	2020
Quantum generative adversarial networks PL Dallaire-Demers, N Killoran Physical Review A 98 (1), 012324, 2018	515	2018
Continuous-variable quantum neural networks N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd Physical Review Research 1 (3), 033063, 2019	489	2019
Quantum embeddings for machine learning S Lloyd, M Schuld, A Ijaz, J Izaac, N Killoran arXiv preprint arXiv:2001.03622, 2020	385	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	363	2019
Transfer learning in hybrid classical-quantum neural networks A Mari, TR Bromley, J Izaac, M Schuld, N Killoran Quantum 4, 340, 2020	336	2020
Converting non-classicality into entanglement N Killoran, FES Steinhoff, MB Plenio Physical Review Letters 116, 080402, 2016	223	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	199	2017
Is quantum advantage the right goal for quantum machine learning? M Schuld, N Killoran Prx Quantum 3 (3), 030101, 2022	194	2022
Extracting entanglement from identical particles N Killoran, M Cramer, MB Plenio Physical Review Letters 112, 150501, 2014	193	2014
Estimating the gradient and higher-order derivatives on quantum hardware A Mari, TR Bromley, N Killoran Physical Review A 103 (1), 012405, 2021	189	2021
Resource theory of superposition T Theurer, N Killoran, D Egloff, MB Plenio Physical review letters 119 (23), 230401, 2017	165	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	154	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	140	2020
Gaussian boson sampling using threshold detectors N Quesada, JM Arrazola, N Killoran Physical Review A 98 (6), 062322, 2018	133	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	125	2016

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