Artikel mit Open-Access-Mandaten - Maria SchuldWeitere Informationen
Verfügbar: 18
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
Mandate: US National Science Foundation, US Department of Defense, European Commission
An introduction to quantum machine learning
M Schuld, I Sinayskiy, F Petruccione
Contemporary Physics 56 (2), 172-185, 2015
Mandate: National Research Foundation, South Africa
Continuous-variable quantum neural networks
N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd
Physical Review Research 1 (3), 033063, 2019
Mandate: US Department of Defense
Prediction by linear regression on a quantum computer
M Schuld, I Sinayskiy, F Petruccione
Physical Review A 94 (2), 022342, 2016
Mandate: National Research Foundation, South Africa
Implementing a distance-based classifier with a quantum interference circuit
M Schuld, M Fingerhuth, F Petruccione
Europhysics Letters 119 (6), 60002, 2017
Mandate: National Research Foundation, South Africa
Stochastic gradient descent for hybrid quantum-classical optimization
R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ...
Quantum 4, 314, 2020
Mandate: Deutsche Forschungsgemeinschaft, European Commission
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
Mandate: Australian Research Council, Netherlands Organisation for Scientific …
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
Mandate: US Department of Defense, National Research Foundation, South Africa
Simulating a perceptron on a quantum computer
M Schuld, I Sinayskiy, F Petruccione
Physics Letters A 379 (7), 660-663, 2015
Mandate: National Research Foundation, South Africa
Quantum machine learning in high energy physics
W Guan, G Perdue, A Pesah, M Schuld, K Terashi, S Vallecorsa, ...
Machine Learning: Science and Technology 2 (1), 011003, 2021
Mandate: US Department of Energy
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
Mandate: US National Institutes of Health, UK Medical Research Council
Measuring the similarity of graphs with a Gaussian boson sampler
M Schuld, K Brádler, R Israel, D Su, B Gupt
Physical Review A 101 (3), 032314, 2020
Mandate: US Department of Energy
Quantum ensembles of quantum classifiers
M Schuld, F Petruccione
Scientific reports 8 (1), 2772, 2018
Mandate: National Research Foundation, South Africa
On quantum ensembles of quantum classifiers
A Abbas, M Schuld, F Petruccione
Quantum Machine Intelligence 2 (1), 6, 2020
Mandate: National Research Foundation, South Africa
Using word embeddings to investigate cultural biases
K Durrheim, M Schuld, M Mafunda, S Mazibuko
British Journal of Social Psychology 62 (1), 617-629, 2023
Mandate: National Research Foundation, South Africa
A word embedding trained on South African news data
MC Mafunda, M Schuld, K Durrheim, S Mazibuko
The African Journal of Information and Communication 2022 (30), 1-24, 2022
Mandate: National Research Foundation, South Africa
Using word embeddings to analyse audience effects and individual differences in parenting Subreddits
M Sepahpour-Fard, M Quayle, M Schuld, T Yasseri
EPJ Data Science 12 (1), 38, 2023
Mandate: Science Foundation Ireland, European Commission
Group polarization on social media: Comparing the dynamics of interaction networks and language-based opinion distributions
K Durrheim, M Schuld
PsyArXiv, 2023
Mandate: National Research Foundation, South Africa
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