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ORCIDMaria Schuld
Person information
- affiliation: Xanadu, Toronto, Canada
- affiliation (former): University of KwaZulu-Natal, School of Chemistry and Physics, Durban, South Africa
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2020 – today
- 2024
[j8]Kaitlin Gili, Guillermo Alonso, Maria Schuld:
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements. Quantum Mach. Intell. 6(2): 67 (2024)- [i8]Joseph Bowles, Shahnawaz Ahmed, Maria Schuld:
Better than classical? The subtle art of benchmarking quantum machine learning models. CoRR abs/2403.07059 (2024) - 2023
- [j7]Melody Sepahpour-Fard
, Michael Quayle, Maria Schuld, Taha Yasseri:
Using word embeddings to analyse audience effects and individual differences in parenting Subreddits. EPJ Data Sci. 12(1): 38 (2023) - [j6]Evan Peters, Maria Schuld:
Generalization despite overfitting in quantum machine learning models. Quantum 7: 1210 (2023) - [i7]Melody Sepahpour-Fard, Michael Quayle, Maria Schuld, Taha Yasseri:
How does the audience affect the way we express our gender roles? CoRR abs/2303.12759 (2023) - 2021
- [j5]Wen Guan, Gabriel N. Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa, Jean-Roch Vlimant:
Quantum machine learning in high energy physics. Mach. Learn. Sci. Technol. 2(1): 11003 (2021) - 2020
- [j4]Amira Abbas, Maria Schuld, Francesco Petruccione:
On quantum ensembles of quantum classifiers. Quantum Mach. Intell. 2(1): 1-8 (2020) - [j3]Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert:
Stochastic gradient descent for hybrid quantum-classical optimization. Quantum 4: 314 (2020) - [j2]Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran:
Transfer learning in hybrid classical-quantum neural networks. Quantum 4: 340 (2020)
2010 – 2019
- 2019
- [i6]Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert:
Stochastic gradient descent for hybrid quantum-classical optimization. CoRR abs/1910.01155 (2019) - [i5]Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran:
Transfer learning in hybrid classical-quantum neural networks. CoRR abs/1912.08278 (2019) - 2018
- [i4]Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd:
Continuous-variable quantum neural networks. CoRR abs/1806.06871 (2018) - [i3]Ville Bergholm, Josh A. Izaac, Maria Schuld, Christian Gogolin, Nathan Killoran:
PennyLane: Automatic differentiation of hybrid quantum-classical computations. CoRR abs/1811.04968 (2018) - 2017
- [r1]Maria Schuld, Francesco Petruccione:
Quantum Machine Learning. Encyclopedia of Machine Learning and Data Mining 2017: 1034-1043 - [i2]Maria Schuld, Francesco Petruccione:
Quantum ensembles of quantum classifiers. CoRR abs/1704.02146 (2017) - 2014
- [j1]Maria Schuld, Ilya Sinayskiy, Francesco Petruccione:
The quest for a Quantum Neural Network. Quantum Inf. Process. 13(11): 2567-2586 (2014) - [c1]Maria Schuld, Ilya Sinayskiy, Francesco Petruccione:
Quantum Computing for Pattern Classification. PRICAI 2014: 208-220 - [i1]Maria Schuld, Ilya Sinayskiy, Francesco Petruccione:
Simulating a perceptron on a quantum computer. CoRR abs/1412.3635 (2014)
Coauthor Index
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