Vedran Dunjko

Leiden University — Netherlands

Computer Science · Physical Sciences

35h-index5.8kcitations179works10.62yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(139), Quantum Information and Cryptography(104), Quantum Mechanics and Applications(31), Neural Networks and Reservoir Computing(29), Stochastic Gradient Optimization Techniques(12)

Publications182 total

Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
arXiv (Cornell University)·2026Open Access
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
ArXiv.org·2026Open Access
Weighted approximate quantum natural gradient for variational quantum eigensolver
Quantum Science and Technology·2026Open Access
Weighted approximate quantum natural gradient for variational quantum eigensolver
Quantum Science and Technology·2026Open Access
Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
ArXiv.org·2026Open Access
Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
arXiv (Cornell University)·2026Open Access
Quantum generative modeling for financial time series with temporal correlations
Machine Learning Science and Technology·2026Open Access
Exponential quantum advantages in learning quantum observables from classical data
npj Quantum Information·2026· 1 citedOpen Access
Error and resource estimates of variational quantum algorithms for solving differential equations based on Runge-Kutta methods
Journal of Mathematical Physics·2026Open Access
Error and resource estimates of variational quantum algorithms for solving differential equations based on Runge-Kutta methods
Journal of Mathematical Physics·2026
Detecting underdetermination in parameterized quantum circuits
Machine Learning Science and Technology·2025Open Access
Detecting underdetermination in parameterized quantum circuits
Machine Learning Science and Technology·2025Open Access
Variational quantum generative modeling by sampling expectation values of tunable observables
npj Quantum Information·2025Open Access
Universal approximation of continuous functions with minimal quantum circuits
Physical Review Research·2025Open Access
Universality and kernel-adaptive training for classically trained, quantum-deployed generative models
arXiv (Cornell University)·2025Open Access
Computational complexity of the homology problem with orientable filtration: MA-completeness
arXiv (Cornell University)·2025Open Access
Parameterized quantum circuits as universal generative models for continuous multivariate distributions
npj Quantum Information·2025· 7 citedOpen Access
Machine Learning in Quantum Sciences
Cambridge University Press eBooks·2025· 2 cited
Quantum machine learning advantages beyond hardness of evaluation
arXiv (Cornell University)·2025Open Access
Note on the Universality of Parameterized IQP Circuits with Hidden Units for Generating Probability Distributions
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Hans J. Briegel(18), Sofiène Jerbi(7), Erika Andersson(6), Casper Gyurik(6), Petros Wallden(5), Thomas Bäck(5), Andrea Skolik(4), Hendrik Poulsen Nautrup(4), Nicolai Friis(4), Daniel J. Egger(4), Alexey Melnikov(3), Adi Makmal(3), Robert J. Collins(3), John Jeffers(3), Gerald S. Buller(3), Sheir Yarkoni(3), Jacob M. Taylor(2), Ryan Babbush(2), Lukas J. Fiderer(2), Jonas M. Kübler(2)