Schuld, Maria

Quantum Machine Learning in Feature Hilbert Spaces

Schuld, M., & Killoran, N. (2019) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,840

Evaluating analytic gradients on quantum hardware

Schuld, M., Bergholm, V., Gogolin, C., Izaac, J., & Killoran, N. (2019) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,072

Circuit-centric quantum classifiers

Schuld, M., Bocharov, A., Svore, K. M., & Wiebe, N. (2020) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,057

Effect of data encoding on the expressive power of variational quantum-machine-learning models

Schuld, M., Sweke, R., & Meyer, J. J. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 739

PennyLane: Automatic differentiation of hybrid quantum-classical computations

Bergholm, V., Izaac, J., Schuld, M., Gogolin, C., Ahmed, S., Ajith, V., Alam, M. S., Alonso-Linaje, G., AkashNarayanan, B., Asadi, A., et al. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 732

Supervised Learning with Quantum Computers

Schuld, M., & Petruccione, F. (2018) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 730

The quest for a Quantum Neural Network

Schuld, M., Sinayskiy, I., & Petruccione, F. (2014) · Quantum Information Processing

Quantum Computing Algorithms and ArchitectureNeural Networks and Applications

Cited by 671

Transfer learning in hybrid classical-quantum neural networks

Mari, A., Bromley, T. R., Izaac, J., Schuld, M., & Killoran, N. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 435

The future of quantum biology

Marais, A., Adams, B., Ringsmuth, A. K., Ferretti, M., Gruber, J. M., Hendrikx, R., Schuld, M., Smith, S. L., Sinayskiy, I., Krüger, T. P. J., et al. (2018) · Journal of The Royal Society Interface

Spectroscopy and Quantum Chemical StudiesBiofield Effects and Biophysics

Cited by 274

Quantum embeddings for machine learning

Lloyd, S., Schuld, M., Ijaz, A., Izaac, J., & Killoran, N. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 198

Supervised quantum machine learning models are kernel methods

Schuld, M. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 173

Polarization on social media: Comparing the dynamics of interaction networks and language‐based opinion distributions

Durrheim, K., & Schuld, M. (2025) · Political Psychology

Social Media and PoliticsMisinformation and Its Impacts

Cited by 8