Maria Schuld
Maria Schuld
Senior researcher at Xanadu and Part-Time Researcher at the University of KwaZulu-Natal
Dirección de correo verificada de ukzn.ac.za
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Machine learning and the physical sciences
G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld, N Tishby, ...
Reviews of Modern Physics 91 (4), 045002, 2019
5232019
An introduction to quantum machine learning
M Schuld, I Sinayskiy, F Petruccione
Contemporary Physics 56 (2), 172-185, 2015
4642015
Quantum machine learning in feature Hilbert spaces
M Schuld, N Killoran
Physical review letters 122 (4), 040504, 2019
3242019
The quest for a quantum neural network
M Schuld, I Sinayskiy, F Petruccione
Quantum Information Processing 13 (11), 2567-2586, 2014
2902014
Circuit-centric quantum classifiers
M Schuld, A Bocharov, KM Svore, N Wiebe
Physical Review A 101 (3), 032308, 2020
2122020
Evaluating analytic gradients on quantum hardware
M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran
Physical Review A 99 (3), 032331, 2019
1952019
Supervised learning with quantum computers
M Schuld
Springer, 2018
1502018
Prediction by linear regression on a quantum computer
M Schuld, I Sinayskiy, F Petruccione
Physical Review A 94 (2), 022342, 2016
1432016
Continuous-variable quantum neural networks
N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd
Physical Review Research 1 (3), 033063, 2019
1382019
Implementing a distance-based classifier with a quantum interference circuit
M Schuld, M Fingerhuth, F Petruccione
EPL (Europhysics Letters) 119 (6), 60002, 2017
1322017
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
1072018
Simulating a perceptron on a quantum computer
M Schuld, I Sinayskiy, F Petruccione
Physics Letters A 379 (7), 660-663, 2015
902015
Quantum gradient descent and Newton’s method for constrained polynomial optimization
P Rebentrost, M Schuld, L Wossnig, F Petruccione, S Lloyd
New Journal of Physics 21 (7), 073023, 2019
782019
The future of quantum biology
A Marais, B Adams, AK Ringsmuth, M Ferretti, JM Gruber, R Hendrikx, ...
Journal of the Royal Society Interface 15 (148), 20180640, 2018
642018
Stochastic gradient descent for hybrid quantum-classical optimization
R Sweke, F Wilde, JJ Meyer, M Schuld, PK Fährmann, ...
Quantum 4, 314, 2020
502020
Quantum computing for pattern classification
M Schuld, I Sinayskiy, F Petruccione
Pacific Rim International Conference on Artificial Intelligence, 208-220, 2014
502014
Quantum embeddings for machine learning
S Lloyd, M Schuld, A Ijaz, J Izaac, N Killoran
arXiv preprint arXiv:2001.03622, 2020
492020
Quantum walks on graphs representing the firing patterns of a quantum neural network
M Schuld, I Sinayskiy, F Petruccione
Physical Review A 89 (3), 032333, 2014
412014
Early transmission of SARS-CoV-2 in South Africa: An epidemiological and phylogenetic report
J Giandhari, S Pillay, E Wilkinson, H Tegally, I Sinayskiy, M Schuld, ...
International Journal of Infectious Diseases 103, 234-241, 2021
342021
Transfer learning in hybrid classical-quantum neural networks
A Mari, TR Bromley, J Izaac, M Schuld, N Killoran
Quantum 4, 340, 2020
332020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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