Maria Schuld

21 papers B 1Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Probabilistic modeling over permutations using quantum computers.
CoRR
Vasilis Belis, Giulio Crognaletti, Matteo Argenton, Michele Grossi, Maria Schuld
2026 J jnl
Spectral methods: crucial for machine learning, natural for quantum computers?
CoRR
Vasilis Belis, Joseph Bowles, Rishabh Gupta, Evan Peters, Maria Schuld
2024 J jnl
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements.
Quantum Mach. Intell.
Kaitlin Gili, Guillermo Alonso, Maria Schuld
2024 J jnl
Better than classical? The subtle art of benchmarking quantum machine learning models.
CoRR
Joseph Bowles, Shahnawaz Ahmed, Maria Schuld
2023 J jnl
Generalization despite overfitting in quantum machine learning models.
Quantum
Evan Peters, Maria Schuld
2023 J jnl
How does the audience affect the way we express our gender roles?
CoRR
Melody Sepahpour-Fard, Michael Quayle, Maria Schuld, Taha Yasseri
2023 J jnl
Quantum Computing with Differentiable Quantum Transforms.
ACM Trans. Quantum Comput.
Olivia Di Matteo, Josh A. Izaac, Thomas R. Bromley, Anthony Hayes, Christina Lee, Maria Schuld, Antal Száva, Chase Roberts, Nathan Killoran
2023 J jnl
Using word embeddings to analyse audience effects and individual differences in parenting Subreddits.
EPJ Data Sci.
Melody Sepahpour-Fard, Michael Quayle, Maria Schuld, Taha Yasseri
2021 J jnl
Quantum machine learning in high energy physics.
Mach. Learn. Sci. Technol.
Wen Guan, Gabriel N. Perdue, Arthur Pesah, Maria Schuld, Koji Terashi, Sofia Vallecorsa, Jean-Roch Vlimant
2020 J jnl
On quantum ensembles of quantum classifiers.
Quantum Mach. Intell.
Amira Abbas, Maria Schuld, Francesco Petruccione
2020 J jnl
Stochastic gradient descent for hybrid quantum-classical optimization.
Quantum
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2020 J jnl
Transfer learning in hybrid classical-quantum neural networks.
Quantum
Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran
2019 J jnl
Stochastic gradient descent for hybrid quantum-classical optimization.
CoRR
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2019 J jnl
Transfer learning in hybrid classical-quantum neural networks.
CoRR
Andrea Mari, Thomas R. Bromley, Josh A. Izaac, Maria Schuld, Nathan Killoran
2018 J jnl
Continuous-variable quantum neural networks.
CoRR
Nathan Killoran, Thomas R. Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, Seth Lloyd
2018 J jnl
PennyLane: Automatic differentiation of hybrid quantum-classical computations.
CoRR
Ville Bergholm, Josh A. Izaac, Maria Schuld, Christian Gogolin, Nathan Killoran
2017 — ch.
Quantum Machine Learning.
Encyclopedia of Machine Learning and Data Mining
Maria Schuld, Francesco Petruccione
2017 J jnl
Quantum ensembles of quantum classifiers.
CoRR
Maria Schuld, Francesco Petruccione
2014 B conf
Quantum Computing for Pattern Classification.
PRICAI
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
2014 J jnl
Simulating a perceptron on a quantum computer.
CoRR
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
2014 J jnl
The quest for a Quantum Neural Network.
Quantum Inf. Process.
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione