Josh Izaac
Josh Izaac
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Cited by
Cited by
Evaluating analytic gradients on quantum hardware
M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran
Physical Review A 99 (3), 032331, 2019
OpenFermion: the electronic structure package for quantum computers
JR McClean, ID Kivlichan, DS Steiger, Y Cao, ES Fried, C Gidney, ...
arXiv preprint arXiv:1710.07629, 2017
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
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
Pennylane: Automatic differentiation of hybrid quantum-classical computations
V Bergholm, J Izaac, M Schuld, C Gogolin, C Blank, K McKiernan, ...
arXiv preprint arXiv:1811.04968, 2018
Using and reusing coherence to realize quantum processes
MG Díaz, K Fang, X Wang, M Rosati, M Skotiniotis, J Calsamiglia, ...
Quantum 2, 100, 2018
Position-defect-induced reflection, trapping, transmission, and resonance in quantum walks
ZJ Li, JA Izaac, JB Wang
Physical Review A 87 (1), 012314, 2013
Quantum natural gradient
J Stokes, J Izaac, N Killoran, G Carleo
Quantum 4, 269, 2020
Simulating realistic non-Gaussian state preparation
N Quesada, LG Helt, J Izaac, JM Arrazola, R Shahrokhshahi, CR Myers, ...
Physical Review A 100 (2), 022341, 2019
Production of photonic universal quantum gates enhanced by machine learning
KK Sabapathy, H Qi, J Izaac, C Weedbrook
Physical Review A 100 (1), 012326, 2019
Centrality measure based on continuous-time quantum walks and experimental realization
JA Izaac, X Zhan, Z Bian, K Wang, J Li, JB Wang, P Xue
Physical Review A 95 (3), 032318, 2017
Quantum Fourier Transform in Computational Basis
SS Zhou, T Loke, JA Izaac, JB Wang
Quantum Information Processing 16 (3), 82, 2017
Continuous-time quantum walks with defects and disorder
JA Izaac, JB Wang, ZJ Li
Physical Review A 88 (4), 042334, 2013
Quantum embeddings for machine learning
S Lloyd, M Schuld, A Ijaz, J Izaac, N Killoran
arXiv preprint arXiv:2001.03622, 2020
Graph isomorphism and Gaussian boson sampling
K Bradler, S Friedland, J Izaac, N Killoran, D Su
arXiv preprint arXiv:1810.10644, 2018
pyCTQW: A continuous-time quantum walk simulator on distributed memory computers
JA Izaac, JB Wang
Computer Physics Communications 186 (0), 81-92, 2015
Transfer learning in hybrid classical-quantum neural networks
A Mari, TR Bromley, J Izaac, M Schuld, N Killoran
arXiv preprint arXiv:1912.08278, 2019
The Walrus: a library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling
B Gupt, J Izaac, N Quesada
Journal of Open Source Software 4 (44), 1705, 2019
Quantum centrality testing on directed graphs via -symmetric quantum walks
JA Izaac, JB Wang, PC Abbott, XS Ma
Physical Review A 96 (3), 032305, 2017
Phase-modified CTQW unable to distinguish strongly regular graphs efficiently
A Mahasinghe, JA Izaac, JB Wang, JK Wijerathna
Journal of Physics A: Mathematical and Theoretical 48 (26), 265301, 2015
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