Quantum @ LIACS.md

My web page has migrated to:

https://sites.google.com/view/quantumatliacs/

This is an old web-age which is no longer updated.

Papers (published):

2019

37.    Optimizing Quantum Error Correction Codes with Reinforcement Learning.  H. Poulsen Nautrup, N. Delfosse, V. Dunjko, H. J. Briegel, N. Friis, Quantum 3, 215 (2019)

36.    Simple proof of confidentiality for private quantum channels in noisy environments.  A. Pirker, M. Zwerger, V. Dunjko, H. J. Briegel, W. Dür, Quant, Sci. Techn., 4, 2 (2019)

35.    Speeding-up the decision making of a learning agent using an ion trap quantum processor. T. Sriarunothai, S. Wölk, G. S. Giri, N. Friis, V. Dunjko, H. J. Briegel, C. Wunderlich, Quant. Sci. Techn. 4, 015014 (2019)  

2018

34.    Computational speedups using small quantum devices, V. Dunjko, Y. Ge and J. I. Cirac Phys. Rev. Lett. 121, 250501 (2018) [PRL Editor’s suggestion, featured in Physics]  

33.    Neural Network Operations and Susuki-Trotter evolution of Neural Network States.  N. Freitas, G. Morigi, V. Dunjko, Int. J. Quantum Inf. 16, 1840008 (2018).  

32.    Optimal sequential quantum mixing for slowly evolving sequences of Markov chains.  D. Orsucci, H. J. Briegel and V. Dunjko ,  Quantum 2, 105 (2018).  

31.    Machine learning & artificial intelligence in the quantum domain: a review of recent progress. V. Dunjko and H. J. Briegel, Rep. Prog. Phys. 81, 074001 (2018).  

30.    Active learning machine learns to create new quantum experiments. A. A. Melnikov, H. Poulsen Nautrup, M. Krenn, V. Dunjko, M. Tiersch, A. Zeilinger, H. J. Briegel, Proc. Natl. Acad. Sci. 115 (6) pp. 1221-1226 (2018) [PNAS Cozzarelli Prize]

29.    Long-range big quantum-data transmission. M. Zwerger, A. Pirker, V. Dunjko, W. Dür, H. J. Briegel Phys. Rev. Lett. 120, 030503 (2018)  

2017

28.    Advances in quantum reinforcement learning. V. Dunjko, J. M. Taylor, H. J. Briegel IEEE SMC, Banff, AB, 2017, pp. 282-287 (2017).  

27.    Projective simulation with generalization. A. A. Melnikov, A. Makmal, V. Dunjko, H. J. Briegel, Sci. Rep. 7, 14430 (2017)  

26.    Entanglement generation secure against general attacks. A. Pirker, V. Dunjko, W. Dür, H. J. Briegel New J. Phys. 19, 113012 (2017)
 
25.    Flexible resources for quantum metrology N. Friis, D. Orsucci, M. Skotiniotis, P. Sekatski, V. Dunjko, H. J. Briegel, W. Dür, New J. Phys.,19, 063044 (2017)

2016
 
24.    Quantum-enhanced machine learning. V. Dunjko, J. M. Taylor, H. J. Briegel, Phys. Rev. Lett. 117, 130501 (2016)
 
23.    Meta-learning within Projective Simulation. A. Makmal, A. A. Melnikov, V. Dunjko, H. J. Briegel IEEE Access 4, 2110 (2016)
 
22.    Enhanced delegated computing using coherence. S. Barz, V. Dunjko, F. Schlederer, M. Moore, E. Kashefi, I. A. Walmsley, Phys. Rev. A 93, 032339 (2016)
 
21.    Quantum-enhanced Secure Delegated Classical Computing. V. Dunjko, T. Kapourniotis, E. Kashefi, Quant. Inf. Comput. 16, pp 61-86 (2016)
 
20.    Experimental demonstration of kilometer-range quantum digital signatures. R. J. Donaldson, R. J. Collins, K. Kleczkowska, R. Amiri, P. Wallden, V. Dunjko, J. Jeffers, E. Andersson, G. S. Buller Phys. Rev. A 93, 012329 (2016) [Editor’s suggestion]

2015
 
19.    Quantum mixing of Markov chains for special distributions. V. Dunjko, H. J. Briegel, New J. Phys. 17, 073004 (2015)
 
18.    Quantum digital signatures with quantum-key-distribution components. P. Wallden, V. Dunjko, A. Kent, E. Andersson, Phys. Rev. A 91, 042304 (2015)
 
17.    Quantum-enhanced deliberation of learning agents in trapped ions. V. Dunjko, N. Friis, H. J. Briegel New J. Phys. 17, 023006 (2015)
 
16.    Ground state blind quantum computation on AKLT state. T. Morimae, V. Dunjko, E. Kashefi, Quantum Inf. Comput. 15, 3&4, pp 200-234 (2015)

2014
 
15.    Entanglement of π–locally-maximally-entanglable states and the satisfiability problem.  A. Makmal, M. Tiersch, V. Dunjko, S. Wu, Phys. Rev. A 90, 042308 (2014)
 
14.    Quantum speed-up for active learning agents. G. D. Paparo, V. Dunjko, A. Makmal, M. A. Martin-Delgado, H. J. Briegel. Phys. Rev. X 4, 031002 (2014)
 
13.    Implementing quantum control for unknown subroutines. N. Friis, V. Dunjko, W. Dür, H. J. Briegel Phys. Rev A 89, 030303(R) (2014)
 
12.    Optical realisation of Quantum Digital Signatures without quantum memory. R. J. Collins, R. J. Donaldson, V. Dunjko, P. Wallden, P. J. Clarke, E. Andersson, J. Jeffers, G. S. Buller, Phys. Rev. Lett. 113, 040502 (2014) [Editors’ Suggestion]
 
11.    Minimum-cost quantum measurements for quantum information. P. Wallden, V. Dunjko, E. Andersson, J. Phys. A 47 125303 (2014)
 
10.    Quantum Digital Signatures without Quantum Memory. V. Dunjko, P. Wallden, E. Andersson, Phys. Rev. Lett. 112 040502 (2014)
 
9.    Composable security of delegated quantum computation. V. Dunjko, J. F. Fitzsimons, C. Portmann, R. Renner, Lecture Notes in Computer Science 8874 pp 406-425 (Asiacrypt 2014) (2014)

2013

8.    Phylostratigraphic profiles reveal a deep evolutionary history of the vertebrate head sensory systems. Martin Sebastijan Šestak, Vedran Bozičević, Robert Bakarić, Vedran Dunjko, Tomislav Domazet-Lošo, Front. Zool. 10:18 (2013)

7.    Extended phase map decompositions for unitaries Vedran Dunjko, Elham Kashefi. Math. Structures Comput. Sci., 23, pp 360-385, (2013)

2012

6.    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)

5.    Truly noiseless probabilistic amplification Vedran Dunjko, Erika Andersson
Phys. Rev. A 86 042322 (2012)

4.    Transformations between symmetric sets of quantum states Vedran Dunjko, Erika Andersson
J. Phys. A 45 365304 (2012)

3.    Universal blind quantum computing with weak coherent pulses Vedran Dunjko, Elham Kashefi, Anthony Leverrier
Phys. Rev. Lett. 108 200502 (2012)

2.    Novel modifications of parallel Jacobi algorithms Sanja Singer, Saša Singer, Vedran Novaković, Aleksandar Ušćumlić, Vedran Dunjko. Numer. Algorithms 59 1-27 (2012)

2010

1. Algebraic characterisation of one-way patterns. Vedran Dunjko, Elham Kashefi in Proceedings Sixth Workshop on Developments in Computational Models: Causality, Computation, and Physics 26 EPTCS, pp 85-100 (2010)

Pre-prints (& submitted):

9. A framework for deep energy-based reinforcement learning with quantum speed-up. Sofiene Jerbi, Hendrik Poulsen Nautrup, Lea M. Trenkwalder, Hans J. Briegel, Vedran Dunjko, preprint: arXiv:1910.12760 (2019)

8. 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 preprint: arXiv:1910.11914 (2019)

7. A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles. Yimin Ge, Vedran Dunjko preprint: arXiv:1907.01258 (2019)

6. Smooth input preparation for quantum and quantum-inspired machine learning Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons preprint: arXiv:1804.00281 (2019).

5. Super-polynomial and exponential separations for quantum-enhanced reinforcement learning. Vedran Dunjko, Yi-Kai Liu, Xingyao Wu, Jacob M. Taylor, preprint: arXiv:1710.11160 (2017).

4. Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity. Simon Hangl, Vedran Dunjko, Hans J. Briegel, Justus Piater, preprint: arXiv:1706.08560 (2017).

3. Blind quantum computing with two almost identical states. Vedran Dunjko, Elham Kashefi, preprint: arXiv:1604.01586 (2016)

2. Framework for learning agents in quantum environments. Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel, preprint: arXiv:1507.08482 (2015)

1. On optimising quantum communication in verifiable quantum computing. Theodoros Kapourniotis, Vedran Dunjko, Elham Kashefi, preprint: arXiv:1506.06943 [presented at AQIS 2015] (2015)
 