Maria Schuld

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

High Energy Physics

Quantum Computation

Pattern Classification

Machine Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Joseph Bowles, Shahnawaz Ahmed, Maria Schuld
Better than classical? The subtle art of benchmarking quantum machine learning models. CoRR (2024)
Melody Sepahpour-Fard, Michael Quayle, Maria Schuld, Taha Yasseri
How does the audience affect the way we express our gender roles? CoRR (2023)
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) (2023)
Evan Peters, Maria Schuld
Generalization despite overfitting in quantum machine learning models. Quantum 7 (2023)
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) (2021)
Amira Abbas, Maria Schuld, Francesco Petruccione
On quantum ensembles of quantum classifiers. Quantum Mach. Intell. 2 (1) (2020)
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 (2020)
Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran
Transfer learning in hybrid classical-quantum neural networks. Quantum 4 (2020)
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 (2019)
Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran
Transfer learning in hybrid classical-quantum neural networks. CoRR (2019)
Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd
Continuous-variable quantum neural networks. CoRR (2018)
Ville Bergholm, Josh A. Izaac, Maria Schuld, Christian Gogolin, Nathan Killoran
PennyLane: Automatic differentiation of hybrid quantum-classical computations. CoRR (2018)
Maria Schuld, Francesco Petruccione
Quantum ensembles of quantum classifiers. CoRR (2017)
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
Simulating a perceptron on a quantum computer. CoRR (2014)
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
Quantum Computing for Pattern Classification. PRICAI (2014)
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
The quest for a Quantum Neural Network. Quantum Inf. Process. 13 (11) (2014)