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Maria Schuld

Orcid: 0000-0001-8626-168X

Affiliations:
  • Xanadu, Toronto, Canada
  • University of KwaZulu-Natal, School of Chemistry and Physics, Durban, South Africa (former)


According to our database1, Maria Schuld authored at least 19 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Spectral methods: crucial for machine learning, natural for quantum computers?
[BibTeX]
[DOI]
Vasilis Belis
,
Joseph Bowles
,
Rishabh Gupta
,
Evan Peters
,
Maria Schuld
CoRR, March, 2026

Probabilistic modeling over permutations using quantum computers.
[BibTeX]
[DOI]
Vasilis Belis
,
Giulio Crognaletti
,
Matteo Argenton
,
Michele Grossi
,
Maria Schuld
CoRR, March, 2026

2024
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements.
[BibTeX]
[DOI]
Kaitlin Gili
,
Guillermo Alonso
,
Maria Schuld
Quantum Mach. Intell., December, 2024

Better than classical? The subtle art of benchmarking quantum machine learning models.
[BibTeX]
[DOI]
Joseph Bowles
,
Shahnawaz Ahmed
,
Maria Schuld
CoRR, 2024

2023
Generalization despite overfitting in quantum machine learning models.
[BibTeX]
[DOI]
Evan Peters
,
Maria Schuld
Quantum, December, 2023

Using word embeddings to analyse audience effects and individual differences in parenting Subreddits.
[BibTeX]
[DOI]
Melody Sepahpour-Fard
,
Michael Quayle
,
Maria Schuld
,
Taha Yasseri
EPJ Data Sci., December, 2023

Quantum Computing with Differentiable Quantum Transforms.
[BibTeX]
[DOI]
Olivia Di Matteo
,
Josh A. Izaac
,
Thomas R. Bromley
,
Anthony Hayes
,
Christina Lee
,
Maria Schuld
,
Antal Száva
,
Chase Roberts
,
Nathan Killoran
ACM Trans. Quantum Comput., September, 2023

How does the audience affect the way we express our gender roles?
[BibTeX]
[DOI]
Melody Sepahpour-Fard
,
Michael Quayle
,
Maria Schuld
,
Taha Yasseri
CoRR, 2023

2021
Quantum machine learning in high energy physics.
[BibTeX]
[DOI]
Wen Guan
,
Gabriel N. Perdue
,
Arthur Pesah
,
Maria Schuld
,
Koji Terashi
,
Sofia Vallecorsa
,
Jean-Roch Vlimant
Mach. Learn. Sci. Technol., 2021

2020
Stochastic gradient descent for hybrid quantum-classical optimization.
[BibTeX]
[DOI]
Ryan Sweke
,
Frederik Wilde
,
Johannes Jakob Meyer
,
Maria Schuld
,
Paul K. Faehrmann
,
Barthélémy Meynard-Piganeau
,
Jens Eisert
Quantum, 2020

Transfer learning in hybrid classical-quantum neural networks.
[BibTeX]
[DOI]
Andrea Mari
,
Thomas R. Bromley
,
Josh A. Izaac
,
Maria Schuld
,
Nathan Killoran
Quantum, 2020

On quantum ensembles of quantum classifiers.
[BibTeX]
[DOI]
Amira Abbas
,
Maria Schuld
,
Francesco Petruccione
Quantum Mach. Intell., 2020

2018
PennyLane: Automatic differentiation of hybrid quantum-classical computations.
[BibTeX]
[DOI]
Ville Bergholm
,
Josh A. Izaac
,
Maria Schuld
,
Christian Gogolin
,
Nathan Killoran
CoRR, 2018

Continuous-variable quantum neural networks.
[BibTeX]
[DOI]
Nathan Killoran
,
Thomas R. Bromley
,
Juan Miguel Arrazola
,
Maria Schuld
,
Nicolás Quesada
,
Seth Lloyd
CoRR, 2018

2017
Quantum Machine Learning.
[BibTeX]
[DOI]
Maria Schuld
,
Francesco Petruccione
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Quantum ensembles of quantum classifiers.
[BibTeX]
[DOI]
Maria Schuld
,
Francesco Petruccione
CoRR, 2017

2014
The quest for a Quantum Neural Network.
[BibTeX]
[DOI]
Maria Schuld
,
Ilya Sinayskiy
,
Francesco Petruccione
Quantum Inf. Process., 2014

Simulating a perceptron on a quantum computer.
[BibTeX]
[DOI]
Maria Schuld
,
Ilya Sinayskiy
,
Francesco Petruccione
CoRR, 2014

Quantum Computing for Pattern Classification.
[BibTeX]
[DOI]
Maria Schuld
,
Ilya Sinayskiy
,
Francesco Petruccione
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014


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