Dunjko, Vedran
Leiden University
10 papers on CoChatORCID 0000-0002-2632-7955
Most cited papers
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Quantum-Enhanced Machine Learning
Dunjko, V., Taylor, J. M., & Briegel, H. J. (2016) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 460
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TensorFlow Quantum: A Software Framework for Quantum Machine Learning
Broughton, M., Verdon, G., McCourt, T., Martinez, A. J., Yoo, J. H., Isakov, S. V., Massey, P., Halavati, R., Niu, M. Y., Zlokapa, A., et al. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques
Cited by 308
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Challenges and opportunities in quantum optimization
Abbas, A., Ambainis, A., Augustino, B., Bärtschi, A., Buhrman, H., Coffrin, C., Cortiana, G., Dunjko, V., Egger, D. J., Elmegreen, B. G., et al. (2024) · Nature Reviews Physics
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 201
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Quantum Speedup for Active Learning Agents
Paparo, G. D., Dunjko, V., Makmal, A., Martin-Delgado, M. A., & Briegel, H. J. (2014) · Physical Review X
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 192
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Advances in quantum reinforcement learning
Dunjko, V., Taylor, J. M., & Briegel, H. J. (2017) · 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 81
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Quantum enhancements for deep reinforcement learning in large spaces
Jerbi, S., Trenkwalder, L. M., Nautrup, H. P., Briegel, H. J., & Dunjko, V. (2019) · arXiv
Quantum Computing Algorithms and ArchitectureReinforcement Learning in Robotics
Cited by 69
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Phylostratigraphic profiles reveal a deep evolutionary history of the vertebrate head sensory systems
Šestak, M. S., Božičević, V., Bakarić, R., Dunjko, V., & Domazet-Lošo, T. (2013) · Frontiers in Zoology
Developmental Biology and Gene RegulationMarine Invertebrate Physiology and Ecology
Cited by 42
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Neural network operations and Susuki–Trotter evolution of neural network states
Freitas, N., Morigi, G., & Dunjko, V. (2018) · International Journal of Quantum Information
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 17
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Parameterized quantum circuits as universal generative models for continuous multivariate distributions
Barthe, A., Grossi, M., Vallecorsa, S., Tura, J., & Dunjko, V. (2025) · npj Quantum Information
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 11
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Improved separation between quantum and classical computers for sampling and functional tasks
Marshall, S. C., Aaronson, S., & Dunjko, V. (2024) · arXiv
Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs
Cited by 0
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