Vedran Dunjko - RankMe

89 papers A* 5A 1B 4Misc 3Journal 72Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines. CoRR Kevin Shen, Susanne Pielawa, Vedran Dunjko, Hao Wang
2026	J	`jnl`	Detecting underdetermination in parameterized quantum circuits. Mach. Learn. Sci. Technol. Marie C. Kempkes, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko
2025	J	`jnl`	Approximation and Generalization Capacities of Parametrized Quantum Circuits for Functions in Sobolev Spaces. Quantum Alberto Manzano, David Dechant, Jordi Tura, Vedran Dunjko
2025	J	`jnl`	Computational complexity of the homology problem with orientable filtration: MA-completeness. CoRR Ryu Hayakawa, Casper Gyurik, Mahtab Yaghubi Rad, Vedran Dunjko
2025	J	`jnl`	Detecting underdetermination in parameterized quantum circuits. CoRR Marie C. Kempkes, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko
2025	J	`jnl`	Double descent in quantum machine learning. CoRR Marie C. Kempkes, Aroosa Ijaz, Elies Gil-Fuster, Carlos Bravo-Prieto, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko
2025	A	`conf`	Improved Separation Between Quantum and Classical Computers for Sampling and Functional Tasks. CCC Simon C. Marshall, Scott Aaronson, Vedran Dunjko
2025	A*	`conf`	Limitations of measure-first protocols in quantum machine learning. ICML Casper Gyurik, Riccardo Molteni, Vedran Dunjko
2025	A*	`conf`	On the Relation between Trainability and Dequantization of Variational Quantum Learning Models. ICLR Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko
2025	J	`jnl`	Quantum computing and artificial intelligence: status and perspectives. CoRR Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm
2024	A*	`conf`	Curriculum reinforcement learning for quantum architecture search under hardware errors. ICLR Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
2024	J	`jnl`	Curriculum reinforcement learning for quantum architecture search under hardware errors. CoRR Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
2024	J	`jnl`	Hyperparameter importance and optimization of quantum neural networks across small datasets. Mach. Learn. Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn
2024	J	`jnl`	Improved separation between quantum and classical computers for sampling and functional tasks. CoRR Simon C. Marshall, Scott Aaronson, Vedran Dunjko
2024	J	`jnl`	On Bounded Advice Classes. CoRR Simon C. Marshall, Casper Gyurik, Vedran Dunjko
2024	J	`jnl`	On the expressivity of embedding quantum kernels. Mach. Learn. Sci. Technol. Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
2024	J	`jnl`	On the relation between trainability and dequantization of variational quantum learning models. CoRR Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko
2024	J	`jnl`	Quantum computing and persistence in topological data analysis. CoRR Casper Gyurik, Alexander Schmidhuber, Robbie King, Vedran Dunjko, Ryu Hayakawa
2024	—	`conf`	Reliable Classifications with Guaranteed Confidence Using the Dempster-Shafer Theory of Evidence. ECML/PKDD (2) Marie C. Kempkes, Vedran Dunjko, Evert P. L. van Nieuwenburg, Jakob Spiegelberg
2023	Misc	`conf`	Application of quantum-inspired generative models to small molecular datasets. QCE Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko
2023	J	`jnl`	Application of quantum-inspired generative models to small molecular datasets. CoRR Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko
2023	Misc	`conf`	Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang
2023	J	`jnl`	Compilation of product-formula Hamiltonian simulation via reinforcement learning. CoRR Lea M. Trenkwalder, Eleanor Scerri, Thomas E. O'Brien, Vedran Dunjko
2023	Misc	`conf`	Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations. QCE Alice Barthe, Michele Grossi, Jordi Tura, Vedran Dunjko
2023	J	`jnl`	Enhancing variational quantum state diagonalization using reinforcement learning techniques. CoRR Akash Kundu, Przemyslaw Bedelek, Mateusz Ostaszewski, Onur Danaci, Yash J. Patel, Vedran Dunjko, Jaroslaw Adam Miszczak
2023	J	`jnl`	Exponential separations between classical and quantum learners. CoRR Casper Gyurik, Vedran Dunjko
2023	J	`jnl`	High Dimensional Quantum Machine Learning With Small Quantum Computers. Quantum Simon C. Marshall, Casper Gyurik, Vedran Dunjko
2023	J	`jnl`	Hybrid divide-and-conquer approach for tree search algorithms. Quantum Mathys Rennela, Sebastiaan Brand, Alfons Laarman, Vedran Dunjko
2023	J	`jnl`	LIMDD: A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States. Quantum Lieuwe Vinkhuijzen, Tim Coopmans, David Elkouss, Vedran Dunjko, Alfons Laarman
2023	J	`jnl`	On the expressivity of embedding quantum kernels. CoRR Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
2023	—	`conf`	Quantum Policy Gradient Algorithms. TQC Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko
2023	J	`jnl`	Shadows of quantum machine learning. CoRR Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Riccardo Molteni, Vedran Dunjko
2023	J	`jnl`	Structural risk minimization for quantum linear classifiers. Quantum Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko
2022	J	`jnl`	Equivariant quantum circuits for learning on weighted graphs. CoRR Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	High Dimensional Quantum Learning With Small Quantum Computers. CoRR Simon C. Marshall, Casper Gyurik, Vedran Dunjko
2022	B	`conf`	Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. DS Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. CoRR Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	On establishing learning separations between classical and quantum machine learning with classical data. CoRR Casper Gyurik, Vedran Dunjko
2022	J	`jnl`	Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning. Quantum Andrea Skolik, Sofiène Jerbi, Vedran Dunjko
2022	J	`jnl`	Quantum policy gradient algorithms. CoRR Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko
2022	J	`jnl`	Reinforcement Learning Assisted Recursive QAOA. CoRR Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	Towards quantum advantage via topological data analysis. Quantum Casper Gyurik, Chris Cade, Vedran Dunjko
2021	J	`jnl`	Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model. Quantum Saad Yalouz, Bruno Senjean, Filippo Miatto, Vedran Dunjko
2021	J	`jnl`	Experimental quantum speed-up in reinforcement learning agents. Nat. Valeria Saggio, Beate E. Asenbeck, Arne Hamann, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, Nicholas C. Harris, Michael Hochberg, Dirk R. Englund, Sabine Wölk, Hans J. Briegel, Philip Walther
2021	J	`jnl`	LIMDD A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States. CoRR Lieuwe Vinkhuijzen, Tim Coopmans, David Elkouss, Vedran Dunjko, Alfons Laarman
2021	J	`jnl`	On solving classes of positive-definite quantum linear systems with quadratically improved runtime in the condition number. Quantum Davide Orsucci, Vedran Dunjko
2021	A*	`conf`	Parametrized Quantum Policies for Reinforcement Learning. NeurIPS Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2021	J	`jnl`	Quantum machine learning beyond kernel methods. CoRR Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko
2021	J	`jnl`	Quantum-accessible reinforcement learning beyond strictly epochal environments. Quantum Mach. Intell. Arne Hamann, Vedran Dunjko, Sabine Wölk
2021	A*	`conf`	Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
2021	J	`jnl`	Reinforcement learning for optimization of variational quantum circuit architectures. CoRR Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
2021	J	`jnl`	Smooth input preparation for quantum and quantum-inspired machine learning. Quantum Mach. Intell. Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons
2021	J	`jnl`	Structural risk minimization for quantum linear classifiers. CoRR Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko
2021	B	`conf`	Tabu-Driven Quantum Neighborhood Samplers. EvoCOP Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko
2021	J	`jnl`	Variational quantum policies for reinforcement learning. CoRR Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2020	J	`jnl`	Hybrid divide-and-conquer approach for tree search algorithms. CoRR Mathys Rennela, Alfons Laarman, Vedran Dunjko
2020	J	`jnl`	On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. Quantum Mach. Intell. Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
2020	J	`jnl`	Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition. Frontiers Robotics AI Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater
2020	J	`jnl`	Towards quantum advantage for topological data analysis. CoRR Casper Gyurik, Chris Cade, Vedran Dunjko
2019	J	`jnl`	A framework for deep energy-based reinforcement learning with quantum speed-up. CoRR Sofiène Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko
2019	J	`jnl`	A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles. CoRR Yimin Ge, Vedran Dunjko
2019	J	`jnl`	On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. CoRR Jens Clausen, Walter L. Boyajian, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel
2019	J	`jnl`	Optimizing Quantum Error Correction Codes with Reinforcement Learning. Quantum Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Briegel, Nicolai Friis
2018	J	`jnl`	Computational speedups using small quantum devices. CoRR Vedran Dunjko, Yimin Ge, J. Ignacio Cirac
2018	J	`jnl`	Faster quantum mixing for slowly evolving sequences of Markov chains. Quantum Davide Orsucci, Hans J. Briegel, Vedran Dunjko
2018	J	`jnl`	Optimizing Quantum Error Correction Codes with Reinforcement Learning. CoRR Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J. Briegel, Nicolai Friis
2017	J	`jnl`	Active learning machine learns to create new quantum experiments. CoRR Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel
2017	B	`conf`	Advances in quantum reinforcement learning. SMC Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
2017	J	`jnl`	Machine learning \& artificial intelligence in the quantum domain. CoRR Vedran Dunjko, Hans J. Briegel
2017	J	`jnl`	Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity. CoRR Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus H. Piater
2017	J	`jnl`	Speeding-up the decision making of a learning agent using an ion trap quantum processor. CoRR Theeraphot Sriarunothai, Sabine Wölk, Gouri Shankar Giri, Nicolai Friis, Vedran Dunjko, Hans J. Briegel, Christof Wunderlich
2017	J	`jnl`	Super-polynomial separations for quantum-enhanced reinforcement learning. CoRR Vedran Dunjko, Yi-Kai Liu, Xingyao Wu, Jacob M. Taylor
2016	J	`jnl`	Blind quantum computing with two almost identical states. CoRR Vedran Dunjko, Elham Kashefi
2016	B	`conf`	Enhanced learning for agents in quantum-accessible environments. ESANN Jacob M. Taylor, Hans J. Briegel, Vedran Dunjko
2016	J	`jnl`	Meta-learning within Projective Simulation. IEEE Access Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
2016	J	`jnl`	Meta-learning within Projective Simulation. CoRR Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel
2016	J	`jnl`	Quantum-enhanced machine learning. CoRR Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
2016	J	`jnl`	Quantum-enhanced secure delegated classical computing. Quantum Inf. Comput. Vedran Dunjko, Theodoros Kapourniotis, Elham Kashefi
2015	J	`jnl`	Framework for learning agents in quantum environments. CoRR Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
2015	J	`jnl`	Ground state blind quantum computation on AKLT state. Quantum Inf. Comput. Tomoyuki Morimae, Vedran Dunjko, Elham Kashefi
2015	J	`jnl`	Projective simulation with generalization. CoRR Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel
2015	J	`jnl`	Quantum mixing of Markov chains for special distributions. CoRR Vedran Dunjko, Hans J. Briegel
2015	J	`jnl`	Sequential quantum mixing for slowly evolving sequences of Markov chains. CoRR Vedran Dunjko, Hans J. Briegel
2014	—	`conf`	Composable Security of Delegated Quantum Computation. ASIACRYPT (2) Vedran Dunjko, Joseph F. Fitzsimons, Christopher Portmann, Renato Renner
2013	J	`jnl`	Composable security of delegated quantum computation CoRR Vedran Dunjko, Joseph F. Fitzsimons, Christopher Portmann, Renato Renner
2013	J	`jnl`	Extended phase map decompositions for unitaries. Math. Struct. Comput. Sci. Vedran Dunjko, Elham Kashefi
2012	J	`jnl`	Novel modifications of parallel Jacobi algorithms. Numer. Algorithms Sanja Singer, Sasa Singer, Vedran Novakovic, Aleksandar Uscumlic, Vedran Dunjko
2010	—	`conf`	Algebraic characterisation of one-way patterns DCM Vedran Dunjko, Elham Kashefi
2010	J	`jnl`	Novel Modifications of Parallel Jacobi Algorithms CoRR Sanja Singer, Sasa Singer, Vedran Novakovic, Aleksandar Uscumlic, Vedran Dunjko