Full publication list
Full list of publications
1. "Certificates of quantum many-body properties assisted by machine learning", Borja Requena, Gorka Muñoz-Gil, Maciej Lewenstein, Vedran Dunjko, Jordi Tura, Physical Review Research 5 (1), 01309 (2023)
2. "Quantum machine learning beyond kernel methods", Sofiene Jerbi, Lucas J Fiderer, Hendrik P Nautrup, Jonas M Kübler, Hans J Briegel, Vedran Dunjko, Nature Communications 14 (1), 517 (2023)
3. "Structural risk minimization for quantum linear classifiers", Casper Gyurik, Dyon van Vreumingen, Vedran Dunjko, Quantum 7, 893 (2023)
4. "Towards quantum advantage for topological data analysis", Casper Gyurik, Chris Cade, Vedran Dunjko, Quantum 6, 855 (2022)
5. "Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm", Charles Moussa, Hao Wang, Thomas Bäck, Vedran Dunjko, EPJ Quantum Technology 9 (1), 11 (2022)
6. "Quantum learning unravels quantum system", Vedran Dunjko, Science 376 (6590) (2022)
7. "Quantum agents in the gym: a variational quantum algorithm for deep q-learning", Andrea Skolik, Sofiene Jerbi, Vedran Dunjko, Quantum 6, 720 (2022)
8. "Parametrized quantum policies for reinforcement learning", Sofiene Jerbi, Casper Gyurik, Simon Marshall, Hans Briegel, Vedran Dunjko, Advances in Neural Information Processing Systems (NeurIPS) 34, 28362-28375 (2021)
9. "Reinforcement learning for optimization of variational quantum circuit architectures", Mateusz Ostaszewski, Lea M. Trenkwalder, Wojtek Masarczyk, Eleanor Scerri, Vedran Dunjko, Advances in Neural Information Processing Systems (NeurIPS) 34, 18182-18194 (2021)
10. "Inside quantum black boxes," Vedran Dunjko. Nature Physics https://doi.org/10.1038/s41567-021-01246-8 (2021)
11. "Quantum-accessible reinforcement learning beyond strictly epochal environments", Arne Hamann, Vedran Dunjko, Sabine Wölk, Quantum Machine Intelligence 3 (2), 1-18 (2021)
12. "Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model", Saad Yalouz, Bruno Senjean, Filippo Miatto, Vedran Dunjko, Quantum 5, 57 (2021)
13. "On solving classes of positive-definite quantum linear systems with quadratically improved runtime in the condition number", Davide Orsucci, Vedran Dunjko, Quantum 5, 573 (2021)
14. "Smooth input preparation for quantum and quantum-inspired machine learning", Zhikuan Zhao, Jack Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph Fitzsimons, Quant. Mach. Int. 3 (1), 1-6 (2021)
15. "Tabu-driven Quantum Neighborhood Samplers", Charles Moussa, Hao Wang, Henri Calandra, Thomas Back, Vedran Dunjko, accepted EvoStar 2021 (2021)
16. "Experimental quantum speed-up in reinforcement learning agents", Valeria Saggio, Beate E Asenbeck, Arne Hamann, Teodor Stromberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, Nicholas C Harris, Michael Hochberg, Dirk Englund, Sabine Wolk, Hans J Briegel, Philip Walther, Nature 591 (7849), 229-233 (2021)
17. "Quantum enhancements for deep reinforcement learning in large spaces", Sofiene Jerbi, Lea M Trenkwalder, Hendrik Poulsen Nautrup, Hans J Briegel, Vedran Dunjko, PRX Quantum 2 (1), 010328 (2021)
18. "To quantum or not to quantum: towards algorithm selection in near-term quantum optimization", Charles Moussa, Henri Calandra, Vedran Dunjko, Quant. Sci. Tech. 5 (4), 044009 (2020)
19. "On the convergence of projective-simulation-based reinforcement learning in Markov decision processes", Jens Clausen, Walter L. Boyajian, Lea M. Trenkwalder, Vedran Dunjko, Hans J. Briegel Quant. Mach. Int. 13 (2020)
20. "A non-review of Quantum Machine Learning: trends and explorations", Vedran Dunjko, Peter Wittek, Quantum Views 4, 32 (2020)
21. "A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles", Yimin Ge, Vedran Dunjko, J. Math.Phys. 61 (1), 012201 (2020)
22. "Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition", Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus Piater Front. Robot. AI, 03 April (2020)
23. "Optimizing quantum error correction codes with reinforcement learning", Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko, Hans J Briegel, Nicolai Friis, Quantum 3, 215 (2019)
24. "Simple proof of confidentiality for private quantum channels in noisy environments", Alexander Pirker, Michael Zwerger, Vedran Dunjko, Hans J. Briegel, Wolfgang Dür, Quant, Sci. Techn., 4, 2 (2019)
25. "Speeding-up the decision making of a learning agent using an ion trap quantum processor", Theeraphot Sriarunothai, Sabine Wolk, Gouri Shankar Giri, Nicolai Friis, Vedran Dunjko, Hans J. Briegel, Christof Wunderlich, Quant. Sci. Techn. 4, 015014 (2019)
26. "Computational speedups using small quantum devices". Vedran Dunjko, Yimin Ge and J. Ignacio Cirac, Phys. Rev. Lett. 121, 250501 (Editor’s suggestion, Featured in Physics) (2018)
27. "Neural Network Operations and Susuki-Trotter evolution of Neural Network States", Nahuel Freitas, Giovanna Morigi, Vedran Dunjko, Int. J. Quantum Inf. 16, 1840008 (2018)
28. "Optimal sequential quantum mixing for slowly evolving sequences of Markov chains", Davide Orsucci, Hans J. Briegel and Vedran Dunjko, Quantum 2, 105 (2018)
29. "Machine learning & arti cial intelligence in the quantum domain: a review of recent progress", Vedran Dunjko and Hans J. Briegel Rep., Prog. Phys 81, 074001 (2018)
30. "Active learning machine learns to create new quantum experiments", Alexey A. Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, Hans J. Briegel, Proc. Natl. Acad. Sci. 115 (6) pp. 1221-1226 (PNAS Cozzarelli Prize) (2018)
31. "Long-range big quantum-data transmission", Michael Zwerger, Alexander Pirker, Vedran Dunjko, Wofgang Dur, Hans J. Briegel, Phys. Rev. Lett. 120, 030503 (2018)
32. "Advances in quantum reinforcement learning", Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel, IEEE SMC, Banff, AB, 2017, pp. 282-287. doi: 10.1109/SMC.2017.8122616 (2017).
33. "Projective simulation with generalization", Alexey A. Melnikov, Adi Makmal, Vedran Dunjko, Hans J. Briegel, Sci. Rep. 7, 14430 (2017)
34. "Entanglement generation secure against general attacks", Alexander Pirker, Vedran Dunjko, Wolfgang Dür, Hans J. Briegel, New J. Phys. 19, 113012 (2017)
35. "Flexible resources for quantum metrology", Nicolai Friis, Davide Orsucci, Michalis Skotiniotis, Pavel Sekatski, Vedran Dunjko, Hans J. Briegel, Wolfgang Dür, New J. Phys.,19, 063044 (2017)
36. "Quantum-enhanced machine learning", Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel. Phys. Rev. Lett. 117, 130501 (2016)
37. "Meta-learning within Projective Simulation", Adi Makmal, Alexey A. Melnikov, Vedran Dunjko, Hans J. Briegel, IEEE Access 4, 2110 (2016)
38. "Enhanced delegated computing using coherence", Stefanie Barz, Vedran Dunjko, Florian Schlederer, Merritt Moore, Elham Kashefi, Ian A. Walmsley, Phys. Rev. A 93, 032339 (2016)
39. "Quantum-enhanced Secure Delegated Classical Computing", Vedran Dunjko, Theodoros Kapourniotis, Elham Kashefi, Quant. Inf. Comput. 16, pp 61-86 (2016)
40. "Experimental demonstration of kilometer-range quantum digital signatures", Ross J. Donaldson, Robert J. Collins, Klaudia Kleczkowska, Ryan Amiri, Petros Wallden, Vedran Dunjko, John Jeffers, Erika Andersson, Gerald S. Buller, Phys. Rev. A 93, 012329, (Editors’ suggestion) (2016)
41. "Quantum mixing of Markov chains for special distributions", Vedran Dunjko, Hans J. Briegel, New J. Phys. 17, 073004 (2015)
42. "Quantum digital signatures with quantum-key-distribution components", Petros Wallden, Vedran Dunjko, Adrian Kent, Erika Andersson, Phys. Rev. A 91, 042304 (2015)
43. "Quantum-enhanced deliberation of learning agents in trapped ions", Vedran Dunjko, Nicolai Friis, Hans J. Briegel, New J. Phys. 17, 023006 (2015)
44. "Ground state blind quantum computation on AKLT state", Tomoyuki Morimae, Vedran Dunjko, Elham Kashefi, Quantum Inf. Comput. 15, 3&4, pp 200-234 (2015)
45. "Entanglement of pi-locally-maximally-entanglable states and the satis ability problem", Adi Makmal, Markus Tiersch, Vedran Dunjko, Shengjun Wu, Phys. Rev. A 90, 042308 (2014)
46. "Quantum speed-up for active learning agents", Giuseppe Davide Paparo, Vedran Dunjko, Adi Makmal, Miguel Angel Martin-Delgado, Hans J. Briegel, Phys. Rev. X 4, 031002 (2014)
47. "Implementing quantum control for unknown subroutines", Nicolai Friis, Vedran Dunjko, Wolfgang Dür, Hans J. Briegel Phys., Rev A 89, 030303(R) (2014)
48. "Optical realisation of Quantum Digital Signatures without quantum memory". Robert J. Collins, Ross J. Donaldson, Vedran Dunjko, Petros Wallden, Patrick J. Clarke, Erika Andersson, John Je ers, Gerald S. Buller, Phys. Rev. Lett. 113, 040502, (Editors’ Suggestion; Featured in Physics) (2014)
49. "Minimum-cost quantum measurements for quantum information", Petros Wallden, Vedran Dunjko, Erika Andersson, J. Phys. A 47 125303 (2014)
50. "Quantum Digital Signatures without Quantum Memory", Vedran Dunjko, Petros Wallden, Erika Andersson, Phys. Rev. Lett. 112 040502 (2014)
51. "Composable security of delegated quantum computation", Vedran Dunjko, Joseph F. Fitzsimons, Christopher Portmann, Renato Renner, Lecture Notes in Computer Science 8874 pp 406-425 (Asiacrypt 2014) (2014)
52. "Philostratigraphic profiles reveal a deep evolutionary history of the vertebrate head sensory systems", Martin Sebastijan Šestak, Vedran Božičević, Robert Bakarić, Vedran Dunjko, Tomislav Domazet-Lošo, Front. Zool. 10:18 (2013)
53. "Extended phase map decompositions for unitaries", Vedran Dunjko, Elham Kashefi, Math. Struct. Comput. Sci., 23, pp 360-385, (2013)
54. "Experimental demonstration of quantum digital signatures", Patrick J. Clarke, Robert J. Collins, Vedran Dunjko, Erika Andersson, John Jeffers, Gerald S. Buller, Nat. Commun. 3:1174 (2012)
55. "Truly noiseless probabilistic amplification", Vedran Dunjko, Erika Andersson, Phys. Rev. A 86 042322 (2012)
56. "Transformations between symmetric sets of quantum states", Vedran Dunjko, Erika Andersson, J. Phys. A 45 365304 (2012)
57. "Universal blind quantum computing with weak coherent pulses", Vedran Dunjko, Elham Kashefi, Anthony Leverrier, Phys. Rev. Lett. 108 200502 (2012)
58. "Novel modifications of parallel Jacobi algorithms", Sanja Singer, Saša Singer, Vedran Novaković, Aleksandar Ušćumlić, Vedran Dunjko, Numer. Algorithms 59 1-27 (2012)
59. "Algebraic characterisation of one-way patterns", Vedran Dunjko, Elham Kashefi, In Proc. 6th Workshop on Developments in Computational Models: Causality, Computation, and Physics 26 EPTCS, pp 85-100 (2010)
Submitted and preprints
1. "Bloch Sphere Binary Trees: A method for the visualization of sets of multi-qubit systems pure states," Alice Barthe, Michele Grossi, Jordi Tura, Vedran Dunjko, arXiv preprint arXiv:2302.02957 (2023)
2. "Reduce-and-chop: Shallow circuits for deeper problems", Adrian Pérez-Salinas, Radoica Draškić, Jordi Tura, Vedran Dunjko, arXiv preprint arXiv:2212.11862 (2022)
3. "Robustness of quantum reinforcement learning under hardware errors", Andrea Skolik, Simone Mangini, Thomas Bäck, Chiara Macchiavello, Vedran Dunjko, arXiv preprint arXiv:2212.09431 (2022)
4. "Quantum policy gradient algorithms", Sofiene Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko, arXiv preprint arXiv:2212.09328 (2022)
5. "Quantifying Quantum Advantage in Topological Data Analysis", Dominic W. Berry, Yuan Su, Casper Gyurik, Robbie King, Joao Basso, Alexander Del Toro Barba, Abhishek Rajput, Nathan Wiebe, Vedran Dunjko, Ryan Babbush, preprint arXiv: arXiv:2209.13581 (2022)
6. "On establishing learning separations between classical and quantum machine learning with classical data", Casper Gyurik, Vedran Dunjko, arXiv preprint arXiv:2208.06339 (2022)
7. "Reinforcement Learning Assisted Recursive QAOA", Yash J Patel, Sofiene Jerbi, Thomas Bäck, Vedran Dunjko, arXiv preprint arXiv:2207.06294 (2022)
8. "Hyperparameter Importance of Quantum Neural Networks Across Small Datasets", Charles Moussa, Jan van Rijn, Thomas Bäck, Vedran Dunjko, arXiv preprint arXiv:2206.09992 (2022)
9. Equivariant quantum circuits for learning on weighted graphs, Andrea Skolik, Michelle Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko, arXiv preprint arXiv:2205.06109 (2022)
10. "Modern applications of machine learning in quantum sciences", Anna Dawid et al, arXiv preprint arXiv:2204.04198 (2022)
11. "High Dimensional Quantum Learning With Small Quantum Computers", Simon C Marshall, Casper Gyurik, Vedran Dunjko, arXiv preprint arXiv:2203.13739 (2022)
12. " LIMDD: A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States", Lieuwe Vinkhuijzen, Tim Coopmans, David Elkouss, Vedran Dunjko, Alfons Laarman (2021)
13. "Performance comparison of optimization methods on variational quantum algorithms", Xavier Bonet-Monroig et al., arXiv preprint arXiv:2111.13454 (2021)
14. "Tensorflow quantum: A software framework for quantum machine learning", Michael Broughton et al., arXiv preprint arXiv:2003.02989 (2020)
15. "Hybrid divide-and-conquer approach for tree search algorithms", Mathys Rennela, Alfons Laarman, Vedran Dunjko, arXiv:2007.07040 (2020)
16. "Blind quantum computing with two almost identical states", Vedran Dunjko, Elham Kashefi, arXiv:1604.01586 (2016)
17. "Framework for learning agents in quantum environments", Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel, arXiv:1507.08482 (2015)
18. "On optimising quantum communication in verifiable quantum computing", Theodoros Kapourniotis, Vedran Dunjko, Elham Kashefi, arXiv:1506.06943 [presented at AQIS 2015] (2015)