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Publications – Universität Innsbruck

 

 


Publications

Library

 

Here we list all publications and preprints of group members since 2012.
Complete publication lists of individual members can be found on the corresponding member homepages.


 [2024| 2023| 2022 | 2021| 2020| 2019| 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]

2024

Journal Article

  1. F. Flamini, M. Krumm, L. J. Fiderer, T. Müller, and H. J. Briegel, Towards interpretable quantum machine learning via single-photon quantum walks, Quantum Sci. Technol. 9 045011 (2024) [arXiv:2301.13669].

  2. I. D. Smith, H. Poulsen Nautrup, and H. J. Briegel, Parity Quantum Computing as YZ-plane Measurement-based Quantum Computing, Phys. Rev. Lett. 132, 220602 (2024) [arXiv:2401.10079].

  3. F. Preti, M. Schilling, S. Jerbi, L. M. Trenkwalder, H. Poulsen Nautrup, F. Motzoi, and H. J. Briegel, Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning, Quantum 8, 1343 (2024) [arXiv:2307.05744].

  4. A. Hamann, P. Sekatski, and W. Dür, Optimal distributed multi-parameter estimation in noisy environments, Quantum Sci. Technol. 9, 035005 (2024) [arXiv:2306.01077].

  5. F. Fürrutter, G. Muñoz-Gil, and H. J. Briegel, Quantum circuit synthesis with diffusion models, Nat Mach Intell 6, 515–524 (2024) [arXiv:2311.02041].

  6. M. Caraglio, H. Kaur, L. J. Fiderer, A. López-Incera, H. J. Briegel, T. Franosch, and G. Muñoz-Gil, Learning how to find targets in the micro-world: the case of intermittent active Brownian particles, Soft Matter 20, 2008-2016 (2024) [arXiv:2311.16692].

  7. G. Muñoz-Gil, A. López-Incera, L. J. Fiderer, and H. J. Briegel, Optimal foraging strategies can be learned, New J. Phys. 26, 013010 (2024) [arXiv:2303.06050].

  8. Y. Patel, S. Jerbi, T. Bäck, and V. Dunjko, Reinforcement learning assisted recursive QAOA, EPJ Quantum Technology, 11(1), 6 (2024) [arXiv: 2207.06294].

Preprint

  1. I. D. Smith, M. Cautrès, D. T. Stephen, H. Poulsen Nautrup, Optimally generating su(2N ) using Pauli strings, e-print: arXiv:2408.03294 [quant-ph] (2024).

  2. J. Miguel-Ramiro, A. Pirker, and W. Dür, Improving entanglement purification through coherent superposition of roles, e-print: arXiv:2408:00844 [quant-ph] (2024).

  3. J. Freund, A. Pirker, and W. Dür, A flexible quantum data bus, e-print: arXiv:2404:06578 [quant-ph] (2024).

  4. P. A. LeMaitre, M. Krumm, and H. J. Briegel, Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias, e-print: arXiv:2402.10192 [cs.LG, cs.AI] (2024).

2023

Journal Article  

  1. I. D. Smith, M. Krumm, L. J. Fiderer, H. Poulsen Nautrup, and H. J. Briegel, The Min-Entropy of Classical-Quantum Combs for Measurement-based Applications, Quantum 7, 1206 (2023) [arXiv.2212.00553].

  2. J. Miguel-Ramiro, Z. Shi, L. Dellantonio, A. Chan, C. Muschik, and W. Dür, Superposed Quantum Error Mitigation, Phys. Rev. Lett. 131, 230601 (2023) [arXiv:2304.08528].

  3. J. Miguel-Ramiro, Z. Shi, L. Dellantonio, A. Chan, C. Muschik, and W. Dür, Enhancing quantum computation via superposition of quantum gates, Phys. Rev. A 108, 062604 (2023) [arXiv:2304.08529].

  4. F. Riera-Sàbat, J. Miguel-Ramiro, and W. Dür, Quantum repeater for W states, PRX Quantum 4, 040323 (2023), [arXiv:2304.06757].

  5. S. Jerbi, A. Cornelissen, M. Ozols, and V. Dunjko, Quantum policy gradient algorithms, 18th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2023) [arXiv:2212.09328].

  6. B. Requena, S. Masó, J. Bertran, M. Lewenstein, C. Manzo, and G. Muñoz-Gil, Inferring pointwise diffusion properties of single trajectories with deep learning, Biophysical Journal 122, 4360-4369 (2023), [arXiv:2302.00410]. 

  7. Y. Li, H. Sukeno, A. Parayil Mana, H. Poulsen Nautrup, and T.-C. Wei, Symmetry-enriched topological order from partially gauging symmetry-protected topologically ordered states assisted by measurements, Phys. Rev. B 108, 115144 (2023), [arXiv:2305.09747].

  8. L. M. Trenkwalder, A. López-Incera, H. Poulsen Nautrup, F. Flamini, and H. J. Briegel, Automated Gadget Discovery in the quantum domain, Mach. Learn.: Sci. Technol. 4 035043 (2023), [arXiv:2212.12743].

  9. B. Eva, K. Ried, T. Müller, and H. J. Briegel, How a minimal learning agent can infer the existence of unobserved variables in a complex environment, Minds and Machines 33, 185-219 (2023), [arXiv:1910.06985].

  10. M. F. Mor-Ruiz, and W. Dür, Noisy stabilizer formalism, Phys. Rev. A 107, 032424 (2023), [arXiv:2212.08677].

  11. F. Riera-Sàbat, P. Sekatski, and W. Dür, A quantum simulator based on locally controlled logical systems, New J. Phys. 25, 023001 (2023), [arXiv:2207.08900v2].

  12. F. Riera-Sàbat, J. Miguel-Ramiro, and W. Dür, Non-destructive verification of entangled states via fidelity witnessing, Phys. Rev. A 107, 022414 (2023), [arXiv:2209.06849v2].

  13. B. Requena, G. Muñoz-Gil, M. Lewenstein, V. Dunjko, and J. Tura, Certificates of quantum many-body properties assisted by machine learning, Phys. Rev. Res. 5 (1), 013097 (2023).

  14. J. Miguel-Ramiro, A. Pirker, and W. Dür, Optimized quantum networks, Quantum 7, 919 (2023), [arXiv:2107.10275v3].

  15. F. Riera-Sàbat, P. Sekatski, and W. Dür, Remotely controlled entanglement generation, Quantum 7, 904 (2023), [arXiv: 2206.10686v2].

  16. S. Jerbi, L. J. Fiderer, H. Poulsen Nautrup, J. M. Kübler, H. J. Briegel, and V. Dunjko, Quantum machine learning beyond kernel methods, Nat. Commun. 14, 517 (2023), [arXiv:2110.13162].

Preprint

  1. H. Poulsen Nautrup and H. J. Briegel, Measurement-based quantum computation from Clifford quantum cellular automata, e-print: arXiv:2312.13185 [quant-ph] (2023).
     
  2. G. Muñoz-Gil et al., Quantitative evaluation of methods to analyze motion changes in single-particle experiments, e-print: arXiv:2311.18100 [cond-mat.soft] (2023).

  3. F. Riera-Sàbat, P. Sekatski, and W. Dür, Quantum computation with logical gates between hot systems, e-print: arXiv:2311.06588 [quant-ph] (2023).

  4. A. Majumder, M. Krumm, T. Radkohl, H. Poulsen Nautrup, S. Jerbi, H. J. Briegel, Variational measurement-based quantum computation for generative modeling, e-print: arXiv:2310.13524 [quant-ph] (2023).

  5. L. M. Trenkwalder, E. Scerri, T. E. O'Brien, and V. Dunjko, Compilation of product-formula Hamiltonian simulation via reinforcement learning, e-print: arXiv:2311.04285 [quant-ph] (2023).

  6. G. Fernández-Fernández, C. Manzo, M. Lewenstein, A. Dauphin, and G. Muñoz-Gil, Learning minimal representations of stochastic processes with variational autoencoders, e-print: arXiv:2307.11608 [cond-mat.soft] (2023).

  7. A. Chan, Z. Shi, L. Dellantonio, W. Dür, and C. A. Muschik, Hybrid variational quantum eigensolvers: merging computational models, e-print: arXiv:2305.19200 [quant-ph] (2023).

  8. Y. Li, H. Sukeno, A. Parayil Mana, H. Poulsen Nautrup, and T.-C. Wei, Symmetry-enriched topological order from partially gauging symmetry-protected topologically ordered states assisted by measurements, e-print:
    arXiv:2305.09747 [quant-ph] (2023).
     
  9. M. F. Mor-Ruiz, and W. Dür, Influence of noise in entanglement-based quantum networks, e-print: arXiv:2305.03759 [quant-ph] (2023).

2022

Journal Article 

  1. H. Poulsen Nautrup, T. Metger, R. Iten, S. Jerbi, L. M. Trenkwalder, H. Wilming, H. J. Briegel, and R. Renner, Operationally meaningful representations of physical systems in neural networks, Mach. Learn.: Sci. Technol. 3 045025 (2022), [arXiv:2001.00593].

  2. A. Skolik, S. Jerbi, and V. Dunjko, Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning, Quantum 6, 720 (2022). [arXiv:2103.15084v3].

  3. A. Cornelissen, Y. Hamoudi, and S. Jerbi, Near-optimal quantum algorithms for multivariate mean estimation, Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing (pp. 33-43) (2022). [arXiv:2111.09787].

  4. J. Miguel-Ramiro, F. Riera-Sàbat, and W. Dür, Collective operations can exponentially enhance quantum state verification, Phys. Rev. Lett. 129, 190504 (2022). [arXiv: 2201.01782].

  5. A. Hamann, P. Sekatski, and W. Dür, Approximate decoherence free subspaces for distributed sensing, Quantum Science and Technology 7, 025003 (2022). [arXiv:2106.13828].
          
  6. S. Heusler, W. Dür, M. S. Ubben, and A. Hartmann, Aspects of entropy in classical and in quantum physics, J. Phys. A Math. Theor., Vol. 55, 40 (2022). 

  7. G. Muñoz-Gil, C. Romero-Aristizabal, N. Mateos, F. Campelo, L. I de Llobet Cucalon, M. Beato, M. Lewenstein, M. F. Garcia-Parajo, J. A. Torreno-Pina, Stochastic particle unbinding modulates growth dynamics and size of transcription factor condensates in living cells, Proceedings of the National Academy of Sciences 119 (31), e2200667119 (2022).

  8. A. Hamann, and S. Wölk, Performance analysis of a hybrid agent for quantum-accessible reinforcement learning, New J. Phys. 24, 033044 (2022) [arXiv:2107.14001].

  9. G. Muñoz-Gil, A. Dauphin, F. A. Beduini, A. Sánchez de Miguel, Citizen Science to Assess Light Pollution with Mobile Phones, Remote Sensing 14 (19), 4976 (2022).

  10. C. Manzo, G. Muñoz-Gil, G. Volpe, M. A. Garcia-March, M. Lewenstein, R. Metzler, Preface: characterisation of physical processes from anomalous diffusion data, J. Phys. A 56, 010401 (2022).

Preprint

  1. A. Dawid, et al., Modern applications of machine learning in quantum sciences, e-print: arXiv:2204.04198 [quant-ph] (2022).

  2. M. Krumm, P. A. Guérin, T. Zauner, and Č. Brukner, Quantum teleportation of quantum causal structures, e-print: arXiv:2203.00433 [quant-ph] (2022).

 

2021

Journal Article 

  1. F. Flamini, Emergence of biased errors in imperfect optical circuits, Phys. Rev. Applied 16, 064038 (2021), [arXiv:2106.06717].

  2. M. Ostaszewski, L. M. Trenkwalder, W. Masarczyk, E. Scerri, and V. Dunjko, Reinforcement learning for optimization of variational quantum circuit architectures, Advances in Neural Information Processing Systems 34 (2021), [arXiv:2103.16089 ].

  3. S. Jerbi, C. Gyurik, S. C. Marshall, H. J. Briegel, and V. Dunjko, Parametrized quantum policies for reinforcement learning, Advances in Neural Information Processing Systems 34 (2021), [arXiv:2103.05577].

  4. J. Miguel-Ramiro, A. Pirker, and W. Dür, Genuine quantum networks with superposed tasks and addressing, npj Quantum Information 7, 135 (2021), [arXiv:2005.00020].

  5. A. Hamann, V. Dunjko, and S. Wölk, Quantum-accessible reinforcement learning beyond strictly epochal environments, Quantum Mach. Intell. 3, 22 (2021), [arXiv:2008.01481].

  6. F. Riera-Sàbat, P. Sekatski, A. Pirker, and W. Dür, Entanglement-assisted entanglement purification, Phys. Rev. Lett. 127, 040502 (2021), [arXiv:2011.07078].

  7. F. Riera-Sàbat, P. Sekatski, A. Pirker, and W. Dür, Entanglement purification by counting and locating errors with entangling measurements, Phys. Rev. A 104, 012419 (2021), [arXiv:2011.07084].

  8. J. Miguel-Ramiro, A. Pirker, and W. Dür, Coherent randomized benchmarking, Phys. Rev. Research 3, 033038 (2021), [arXiv:2010.13810].
     
  9. R. R. Ferguson, L. Dellantonio, K. Jansen, A. Al Balushi, W. Dür, and C. A. Muschik, A measurement-based variational quantum eigensolver, Phys. Rev. Lett. 126, 220501 (2021), [arXiv:2010.13940].

  10. A. López-Incera, M. Nouvian, K. Ried, T. Müller, and H. J. Briegel, Honeybee communication during collective defence is shaped by predation, BMC Biol 19, 106 (2021), [arXiv:2010.07326].

  11. V. Saggio, B. E. Asenbeck, A. Hamann, T. Strömberg, P. Schiansky, V. Dunjko, N. Friis, N. C. Harris, M. Hochberg, D. Englund, S. Wölk, H. J. Briegel, and P. Walther, Experimental quantum speed-up in reinforcement learning agents, Nature 591, 229 (2021), [arXiv:2103.06294].

  12. S. Jerbi, L. M. Trenkwalder, H. Poulsen Nautrup, H. J. Briegel, and V. Dunjko, Quantum enhancements for deep reinforcement learning in large spaces, PRX Quantum 2, 010328 (2021), [arXiv:1910.12760].

  13. A. Erhard, H. Poulsen Nautrup, M. Meth, L. Postler, R. Stricker, M. Ringbauer, P. Schindler, H. J. Briegel, R. Blatt, N. Friis, and T. Monz, Entangling logical qubits with lattice surgery, Nature 589, 220 (2021), [arXiv:2006.03071].

Preprint

  1.  A. Cornelissen, and S. Jerbi, Quantum algorithms for multivariate Monte Carlo estimation, e-print: arXiv:2107.03410 [quant-ph] (2021).

2020

Journal Article 

  1. F. Flamini et al., Validating multi-photon quantum interference with finite data, Quantum Sci. Technol. 5 045005 (2020) [arXiv:1904.12318].

  2. A. López-Incera, K. Ried, T. Müller, and H. J. Briegel, Development of swarm behavior in artificial learning agents that adapt to different foraging environments, PLoS ONE 15(12): e0243628 (2020), [arXiv:2004.00552].

  3. W. L. Boyajian, J. Clausen, L. M. Trenkwalder, V. Dunjko, and H. J. Briegel, On the convergence of projective-simulation-based reinforcement learning in Markov decision processes, Quantum Mach. Intell. 2, 13 (2020), [arXiv:1010.11914].

  4. A. López-Incera, A. Hartmann, and W. Dür, Encrypt me! A game-based approach to Bell inequalities and quantum cryptography, Eur. J. Phys. 41, 065702 (2020), [arXiv:1910.07845].

  5. J. Wallnöfer, A. A. Melnikov, W. Dür, and H. J. Briegel, Machine Learning for long-distance quantum communication, PRX Quantum 1, 010301, [1904.10797].

  6. S. Wölk, P. Sekatski, and W. Dür, Noisy distributed sensing in the Bayesian regime, Quantum Sci. Technol 5 045003,  [arXiv:2003.05341].

  7. P. Sekatski, S. Wölk, and W. Dür, Optimal distributed sensing in noisy environments, Phys. Rev. Research 2, 023052 (2020),[arXiv:1905.06765]. 

  8. J. Miguel-Ramiro and W. Dür, Delocalized information in quantum networks, New J. Phys. 22 043011 (2020), [arXiv:1912.12935].

  9. S. Hangl, V. Dunjko, H. J. Briegel, and J. Piater, Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition, Frontiers in Robotics and AI, vol. 7, 42 (2020), [arXiv:1706.08560].

  10. F. Flamini, A. Hamann, S. Jerbi, L. M. Trenkwalder, H. Poulsen Nautrup, and  H. J. Briegel, Photonic architecture for reinforcement learning, New J. Phys. 22 045002 (2020), [arXiv:1907.07503]. 

2019

Journal Article 

  1. H. Poulsen Nautrup, N. Delfosse, V. Dunjko, H. J. Briegel, and N. Friis, Optimizing Quantum Error Correction Codes with Reinforcement Learning, Quantum 3, 215 (2019), [arXiv:1812.08451].

  2. V. Kuzmin, D. V. Vasilyev, N.Sangouard, W. Dür, and C. A. Muschik, Scalable repeater architectures for multi-party states, npj Quantum Inf 5, 115 (2019), [arXiv:1905.00335].

  3. D. Schmid, K. Ried, and R. W. Spekkens, Why initial system-environment correlations do not imply the failure of complete positivity: a causal perspective, Phys. Rev. A 100, 022112(2019), [arXiv:1806.02381].

  4. D. T. Stephen, H. Poulsen Nautrup, J. Bermejo-Vega, J. Eisert, and R. Raussendorf, Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter, Quantum 3, 142 (2019), [arXiv:1806.08780 ].

  5. I. Boldin, H. J. Briegel, V. Dunjko, et al., Quantum Computing using MAGIC with Trapped Atomic Ions, Article: 10.1364/CLEO_QELS.2019.FTh3A.2, Published in: 2019 Conference on Lasers and Electro-Optic (CLEO), , Publisher: IEEE.
      
  6. R. Raussendorf, C. Okay, D.-S. Wang, D. T. Stephen, and H. Poulsen Nautrup, A computationally universal phase of quantum matter, Phys. Rev. Lett. 122, 090501 (2019), [arXiv:1803.00095].

  7. K. Ried, T. Müller, and H. J. Briegel, Modelling collective motion based on the principle of agency: General framework and the case of marching locusts, PLOS ONE 14(2): e0212044 (2019), [arXiv: 1712.01334].

  8. A. Pirker, M. Zwerger, V. Dunjko, H. J. Briegel, and W. Dür, Simple proof of confidentiality for private quantum channels in noisy environments, Quantum Sci. Technol.4(2019)025009, [arXiv:1711.08897 ].
     

  9. Yiğit Subaşı, Rolando D. Somma, and Davide Orsucci, Quantum Algorithms for Systems of Linear Equations Inspired by Adiabatic Quantum Computing, Phys. Rev. Lett. 122, 060504 (2019), [arXiv:1805.10549].

     
  10. A. López-Incera, P.Sekatski, and W. Dür, All macroscopic quantum states are fragile and hard to prepare,  Quantum 3, 118 (2019), [arXiv:1805.09868] .

  11. S. Wölk, T. Sriarunothai, G. S Giri, and C. Wunderlich, Distinguishing between statistical and systematic errors in quantum process tomography, New J. Phys. 21 012015 (2019), [arXiv:1808.10336].

  12. J. Wallnöfer, A. Pirker, M. Zwerger, and W. Dür, Multipartite state generation in quantum networks with optimal scaling, Scientific Reports 9, 314 (2019), [arXiv:1806.11562].

  13. T. Sriarunothai, S. Wölk, G. S. Giri, N. Friis, V. Dunjko, H. J. Briegel, and C. Wunderlich, Speeding-up the decision making of a learning agent using an ion trap quantum processor,  Quantum Sci. Technol. 4 015014 (2019), [arXiv:1709.01366].

  14. S. Wölk, Revealing quantum properties with simple measurements, in Proceedings of the International School of Physics "Enrico Fermi", Course 197: Foundations of Quantum Theory, eds. E. M. Rasel, W. P. Schleich and S. Wölk, IOS Press (2019).

  15. A. Pirker and W. Dür, A quantum network stack and protocols for reliable entanglement-based networks, New J. Phys. 21 033003, [arXiv:1810.03556].

  16. M. Zwerger, W. Dür, J.-D. Bancal and P. Sekatski, Device-independent detection of genuine multipartite entanglement for all pure states, PhysRevLett.122.060502 [arXiv:1809.02381].

  17. A. López-Incera and W. Dür, Entangle me! A game to demonstrate the principles of quantum mechanics, American Journal of Physics 87, 95 (2019), [arXiv:1901.07587].

2018

Journal Articles

  1. S. Altenburg and S. Wölk, Multi-parameter estimation: gloabl, local and sequential strategies, Phys. Scr. 94, 014001 (2019)

  2. A. A. Melnikov, A. Makmal, H. J. Briegel, Benchmarking projective simulation in navigation problems, IEEE Access 6, 64639 (2018), [arXiv:1804.08607] .

  3. D. Orsucci, H. J. Briegel, and V. Dunjko, Faster quantum mixing for slowly evolving sequences of Markov chains, Quantum 2, 105 (2018), [arXiv:1503.01334v4].

  4. R. H. Jonsson, K. Ried, E. Martín-Martínez, and A. Kempf,  Transmitting qubits through relativistic fields, J. Phys. A: Math. Theor., 51 485301 (2018),  [arXiv:1708.04249 ] . 

  5. T. M. Mueller and H. J. Briegel, A Stochastic Process Model for Free Agency under Indeterminism, dialectica 72, 219-252 (2018).

  6. V. Dunjko and H. J. Briegel, Machine learning & artificial intelligence in the quantum domain, Reports on Progress in Physics 81, 074001 (2018), [arXiv:1709.02779].

  7. J. Miguel-Ramiro, and W. Dür, Efficient entanglement purification protocols for d-level systems, Phys. Rev. A 98, 042309, (2018), [arXiv:1806.101062].

  8. A. Pirker, J. Wallnöfer, and W. Dür, Modular architectures for quantum networks,  New J. Phys. 20, 053054 (2018) [arXiv:1711.02606].

  9. A.Streltsov, H. Kampermann, S. Wölk, M. Gessner, and D. Bruß, Maximal Coherence and the Resource Theory of Purity, New J. Phys. 20, 053058 (2018) [arXiv:1612.07570]

  10. F. Fröwis, P. Sekatski, W. Dür, N. Gisin, and N. Sangouard, Macroscopic quantum states: measures, fragility and implementations,  Rev. Mod. Phys. 90, 025004 (2018), [arXiv:1706.06173]

  11. J. Clausen and H. J. Briegel, Quantum machine learning with glow for episodic tasks and decision games, Phys. Rev. A 97, 022303 (2018) [arXiv:1601.07358].

  12. M. Zwerger, A. Pirker, V. Dunjko, H. J. Briegel, and W. Dür, Long-range big quantum-data transmission, Phys. Rev. Lett. 120, 030503 (2018) [arXiv:1705.02174].

  13. A. A. Melnikov, H. Poulsen Nautrup, M. Krenn, V. Dunjko, M. Tiersch, A. Zeilinger, and H. J. Briegel, Active learning machine learns to create new quantum experiments, PNAS 115 (6), 1221-1226 (2018) [arXiv:1706.00868].

  14. P. Sekatski, B. Yadin, M.-O. Renou, W. Dür, N. Gisin, and F. Fröwis, General measure for macroscopic quantum states beyond "dead and alive", New J. Phys. 20, 013025 (2018), [arXiv:1704.02270]. 

Preprint

  1. H. Yamasaki, A. Pirker, M. Murao, W. Dür, B. Kraus, Multipartite entanglement outperforms bipartite entanglement under limited quantum system sizes, e-print arXiv:1808.00005 [quant-ph] (2018).


[ 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]


2017

Journal Articles

  1. J.-P. W. MacLean, K. Ried, Robert W. Spekkens and Kevin J. Resch, Quantum-coherent mixture of causal relations, Nature Communications 8, 151409 (2017), [arXiv:1606.04523].

  2. T. Sriarunothai, G. Sh. Giri, S. Wölk, and Ch. Wunderlich, Radio-frequency sideband cooling and sympathetic cooling of trapped ions in a static magnetic field gradient, J. Mod. Opt. 65, 560 (2018) [arXiv:1710.09241].

  3. V. Dunjko, J. M. Taylor, H. J. Briegel, Advances in quantum reinforcement learning, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 282 - 287 (2017).

  4. M. Skotiniotis, W. Dür, and P. Sekatski, Macroscopic superpositions require tremendous measurement devices, Quantum 1, 34 (2017) [arXiv:1705.07053].

  5. H. Poulsen Nautrup, N. Friis, and H. J. Briegel, Fault-tolerant interface between quantum memories and quantum processors, Nat. Commun. 8, 1321 (2017) [arXiv:1609.08062].

  6. A. A. Melnikov, A. Makmal, V. Dunjko, and H. J. Briegel, Projective simulation with generalization, Sci. Rep. 7, 14430 (2017) [arXiv:1504.02247].

  7. R. Demkowicz-Dobrzański, J. Czajkowski, and P. Sekatski, Adaptive quantum metrology under general Markovian noise, Phys. Rev. X 7, 041009 (2017) [arXiv:1704.06280].

  8. P. Sekatski, M. Skotiniotis, J. Kołodyński, and W. Dür, Quantum metrology with full and fast quantum control, Quantum 1, 27 (2017) [arXiv:1603.08944].

  9. M. Zwerger, B. P. Lanyon, T. E. Northup, C. A. Muschik, W. Dür, and N. Sangouard, Quantum repeaters based on trapped ions with decoherence free subspace encoding, Quantum Sci. Technol. 2, 044001 (2017) [arXiv:1611.07779].

  10. A. Pirker, V. Dunjko, W. Dür, and H. J. Briegel, Entanglement generation secure against general attacks,  New J. Phys. 19, 113012 (2017) [arXiv:1610.01907].

  11. N. Friis, D. Orsucci, M. Skotiniotis, P. Sekatski, V. Dunjko, H. J. Briegel, and W. Dür, Flexible resources for quantum metrology, New J. Phys. 19, 063044 (2017) [arXiv:1610.09999].

  12. A. Pirker, J. Wallnöfer, H. J. Briegel, and W. Dür, Construction of optimal resources for concatenated quantum protocols, Phys. Rev. A 95, 062332 (2017) [arXiv:1612.09444].

  13. K. Ried, J.-P. W. MacLean, R. W. Spekkens, and K. J. Resch, Quantum to classical transitions in causal relations, Phys. Rev. A 95, 062102 (2017)  [arXiv:1707.06131].


  14. W. Dür, R. Lamprecht, and S. Heusler, Towards a quantum internet, European Journal of Physics 38, 043001(2017)

  15. P. Sekatski, M. Skotiniotis, and W. Dür, Improved Sensing with a Single Qubit, Phys. Rev. Lett. 118, 170801 (2017) [arXiv:1608.03778].

  16. A. Dodel, A. Mayinda, E. Oudot, A. Martin, P. Sekatski, J.-D. Bancal, and N. Sangouard, Proposal for witnessing non-classical light with the human eye, Quantum 1, 7 (2017) [arXiv:1611.08542].

  17. N. Friis, S. Bulusu, and R. A. Bertlmann, Geometry of two-qubit states with negative conditional entropy, J. Phys. A: Math. Theor. 50, 125301 (2017) [arXiv:1609.04144].

  18. J. Wallnöfer and W. Dür, Measurement based quantum communication with resource states generated by entanglement purification, Phys. Rev. A 95, 012303 (2017) [arXiv:1609.05754].

Preprint

  1. N. Friis and M. Huber, Precision and Work Fluctuations in Gaussian Battery Charging, e-print arXiv:1708.00749 [quant-ph] (2017).

 

[ 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]

 

2016

Journal Articles

  1. W. L. Boyajian, M. Skotiniotis, W. Dür, and B. Kraus, Compressed quantum metrology for the Ising Hamiltonian, Phys. Rev. A 94, 062326 (2016) [arXiv:1608.02620].

  2. J. Minář, P. Sekatski and N. Sangouard, Bounding quantum-gravity-inspired decoherence using atom interferometry, Phys. Rev. A 94, 062111 (2016) [arXiv:1604.07810].

  3. E. G. Brown, N. Friis, and M. Huber, Passivity and practical work extraction using Gaussian operations, New J. Phys. 18, 113028 (2016) [arXiv:1608.04977].

  4. J. Wallnöfer, M. Zwerger, C. Muschik, N. Sangouard, and W. Dür, Two-dimensional quantum repeaters, Phys. Rev. A 94, 052307 (2016) [arXiv:1604.05352].

  5. H. J. Briegel, Versatile cluster entangled light, Science 354, 416 (2016).

  6. V. Dunjko, J. M. Taylor, and H. J. Briegel, Quantum-Enhanced Machine Learning, Phys. Rev. Lett. 117, 130501 (2016) [arXiv:1610.08251 and arXiv:1507.08482].

  7. P. Sekatski, M. Skotiniotis, and W. Dür, Dynamical decoupling leads to improved scaling in noisy quantum metrology, New J. Phys. 18, 073034 (2016) [arXiv:1512.07476].

  8. N. Friis, Unlocking fermionic mode entanglement, New J. Phys. 18, 061001 (2016) [Perspective article on Dasenbrook et al., New J. Phys. 18, 043036 (2016)].

  9. A. Makmal, A. A. Melnikov, V. Dunjko, and H. J. Briegel, Meta-learning within Projective Simulation, IEEE Access 4, 2110 (2016) [arXiv:1602.08017].

  10. V. Caprara Vivoli, P. Sekatski, and N. Sangouard, What does it take to detect entanglement with the human eye? Optica 3, 473 (2016) [arXiv:1602.01907].

  11. N. Friis, M. Huber, and M. Perarnau-Llobet, Energetics of correlations in interacting systems, Phys. Rev. E 93, 042135 (2016) [arXiv:1511.08654].

  12. D. Orsucci, M. Tiersch, and H. J. Briegel, Estimation of coherent error sources from stabilizer measurements, Phys. Rev. A 93, 042303 (2016) [arXiv:1512.07083].

  13. S. Barz, V. Dunjko, F. Schlederer, M. Moore, E. Kashefi, and I.A. Walmsley, Enhanced delegated computing using coherence, Phys. Rev. A 93, 032339 (2016) [arXiv:1501.06730].

  14. M. Ho, A. Lafont, N. Sangouard, and P. Sekatski, Probing wave function collapse models with a classically driven mechanical oscillator, New J. Phys. 18, 033025 (2016) [arXiv:1504.00790].

  15. M. Zwerger, H. J. Briegel, and W. Dür, Measurement-based Quantum Communication, Appl. Phys. B 122, 50 (2016) [arXiv:1506.00985].

  16. N. Friis, Reasonable fermionic quantum information theories require relativity, New J. Phys. 18, 033014 (2016) [arXiv:1502.04476].

  17. F. Fröwis, P. Sekatski, and W. Dür, Detecting large quantum Fisher information with measurement precision, Phys. Rev. Lett. 116, 090801 (2016)  [arXiv:1509.03334].

  18. A. Makmal, M. Tiersch, C. Ganahl, and H. J. Briegel, Quantum walks on embedded hypercubes: Non-symmetric and non-local cases, Phys. Rev. A 93, 022322 (2016) [arXiv:1510.08388].


  19. R. J. Donaldson, R. J. Collins, K. Kleczkowska, R. Amiri, P. Wallden, V. Dunjko, J. Jeffers, E. Andersson, and G. S. Buller, Experimental demonstration of kilometer-range quantum digital signatures, Phys. Rev. A 93, 012329 (2016) [arXiv:1509.07827].

  20. V. Dunjko, T. Kapourniotis, and E. Kashefi, Quantum-enhanced Secure Delegated Classical Computing, Quant. Inf. Comput. 16, 61 (2016) [arXiv:1405.4558].


Preprints

  1. V. Dunjko and E. Kashefi, Blind quantum computing with two almost identical states, e-print arXiv:1604.01586 [quant-ph] (2016).

  2. J. Minář, P. Sekatski, R. Stevenson, and N. Sangouard, Testing unconventional decoherence models with atoms in optical lattices, e-print arXiv:1601.05381[quant-ph] (2016).

 

 

[ 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]

 

2015

Journal Article

  1. N. Friis, A. A. Melnikov, G. Kirchmair, and H. J. Briegel, Coherent controlization using superconducting qubits, Sci. Rep. 5, 18036 (2015) [arXiv:1508.00447].

  2. E. Oudot, P. Sekatski, F. Fröwis, N. Gisin, and N. Sangouard, Two-mode squeezed states as Schrödinger cat-like states, J. Opt. Soc. Am. B 32, 2190 (2015) [arXiv:1410.8421].

  3. P. Sekatski, M. Skotiniotis, and W. Dür, No-signaling bounds for quantum cloning and metrology, Phys. Rev. A 92, 022355 (2015) [arXiv:1412.3361].

  4. M. Tiersch, E. J. Ganahl, and H. J. Briegel, Adaptive quantum computation in changing environments using projective simulation, Sci. Rep. 5, 12874 (2015) [arXiv:1407.1535].

  5. M. Skotiniotis, F. Fröwis, W. Dür, and B. Kraus, Algebraic metrology: Pretty good states and bounds, Phys. Rev. A 92, 022323 (2015) [arXiv:1409.2316].

  6. N. Friis, M. Skotiniotis, I. Fuentes, and W. Dür, Heisenberg scaling in Gaussian quantum metrology, Phys. Rev. A 92, 022106 (2015) [arXiv:1502.07654].

  7. H. J. Briegel and T. Müller, A chance for attributable agency, Minds Mach. 25, 261 (2015) [philsci-archive:10349].

  8. M. Skotiniotis, P. Sekatski, and W. Dür, Quantum metrology for the Ising Hamiltonian with transverse magnetic field, New J. Phys. 17, 073032 (2015)  [arXiv:1502.06459].

  9. V. Dunjko and H. J. Briegel, Quantum mixing of Markov chains for special distributions, New J. Phys. 17, 073004 (2015) [arXiv:1502.05511].

  10. P. Wallden, V. Dunjko, A. Kent, and E. Andersson, Quantum digital signatures with quantum key distribution components, Phys. Rev. A 91, 042304 (2015)  [arXiv:1403.5551].

  11. W. Dür, P. Sekatski, and M. Skotiniotis, Deterministic Superreplication of One-Parameter Unitary Transformations, Phys. Rev. Lett. 114, 120503 (2015) [arXiv:1410.6008].

  12. D. E. Bruschi, M. Perarnau-Llobet, N. Friis, K. V. Hovhannisyan, and M. Huber, The thermodynamics of creating correlations: Limitations and optimal protocols, Phys. Rev. E 91, 032118 (2015) [arXiv:1409.4647].

  13. V. Caprara Vivoli, P. Sekatski, J.-D. Bancal, C. C. W. Lim, A. Martin, R. T. Thew, H. Zbinden, N. Gisin, and N. Sangouard, Comparing different approaches for generating random numbers device-independently using a photon pair source, New J. Phys. 17, 023023 (2015) [arXiv:1409.8051].

  14. V. Dunjko, N. Friis, and H. J. Briegel, Quantum-enhanced deliberation of learning agents using trapped ions, New J. Phys. 17, 023006 (2015) [arXiv:1407.2830].

  15. J. Mautner, A. Makmal, D. Manzano, M. Tiersch, and H. J. Briegel, Projective simulation for classical learning agents: a comprehensive investigation, New Gener. Comput. 33, 69 (2015) [arXiv:1305.1578].

  16. V. Caprara Vivoli, P. Sekatski, J.-D. Bancal, C. C. W. Lim, B. G. Christensen, A. Martin, R. T. Thew, H. Zbinden, N. Gisin, and N. Sangouard, Challenging preconceptions about Bell tests with photon pairs, Phys. Rev. A 91, 012107 (2015) [arXiv:1405.1939].

Preprints

  1. T. Kapourniotis, V. Dunjko, and E. Kashefi, On optimising quantum communication in verifiable quantum computing, e-print arXiv:1506.06943 [quant-ph] (2015).

 

[ 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]

 

2014

Journal Articles

  1. H. J. Briegel and S. Popescu, A perspective on possible manifestations of entanglement in biological systems, in Quantum Effects in Biology, eds. M. Mohseni, Y. Omar, G. S. Engel, M. B. Plenio, Cambridge University Press (2014).

  2. W. Dür and S. Heusler, Visualization of the invisible: The Qubit as key to quantum physics, Phys. Teach. 52, 489 (2014).

  3. A. Makmal, M. Tiersch, V. Dunjko, and S. Wu, Entanglement of π-locally-maximally-entangleable states and the satisfiability problem, Phys. Rev. A 90, 042308 (2014) [arXiv:1405.7429].

  4. S. Barz, R. Vasconcelos, C. Greganti, M. Zwerger, W. Dür, H. J. Briegel, and P. Walther, Demonstrating elements of measurement-based quantum error correction, Phys. Rev. A 90, 042302 (2014) [arXiv:1308.5209].

  5. P. Sekatski, N. Gisin, and N. Sangouard, How difficult it is to prove the quantumness of macroscropic states? Phys. Rev. Lett. 113, 090403 (2014) [arXiv:1402.2542].

  6. A. A. Melnikov, A. Makmal, and H. J. Briegel, Projective simulation applied to the grid-world and the mountain-car problem, Artif. Intell. Res. 3 (3), 24 (2014) [arXiv:1405.5459].

  7. A. Makmal, M. Zhu, D. Manzano, M. Tiersch, and H. J. Briegel, Quantum walks on embedded hypercubes, Phys. Rev. A 90, 022314 (2014) [arXiv:1309.5253].

  8. J. Clausen, G. G. Guerreschi, M. Tiersch, and H. J. Briegel, Multiple re-encounter approach to radical pair reactions and the role of nonlinear master equations, J. Chem. Phys. 141, 054107 (2014) [arXiv:1310.6194].

  9. F. Fröwis, M. Skotiniotis, B. Kraus, and W. Dür, Optimal quantum states for frequency estimation, New J. Phys. 16, 083010 (2014) [arXiv:1402.6946].

  10. M. Skotiniotis, B. Toloui, I. T. Durham, and B. C. Sanders, Quantum Resource Theory for Charge-Parity-Time Inversion, Phys. Rev. A 90, 012326 (2014) [arXiv:1405.2516].

  11. M. Zwerger, H. J. Briegel, and W. Dür, Robustness of hashing protocols for entanglement purification, Phys. Rev. A 90, 012314 (2014) [arXiv:1405.4207].

  12. G. Paparo, V. Dunjko, A. Makmal, M. A. Martin-Delgado, and H. J. Briegel, Quantum speed-up for active learning agents, Phys. Rev. X 4, 031002 (2014) [arXiv:1401.4997].

  13. M. Zwerger, H. J. Briegel, and W. Dür, Hybrid architecture for encoded measurement-based quantum computation, Sci. Rep. 4, 5364 (2014) [arXiv:1308.4561].

  14. N. Friis, V. Dunjko, W. Dür, and H. J. Briegel, Implementing quantum control for unknown subroutines, Phys. Rev. A 89, 030303(R) (2014) [arXiv:1401.8128].

  15. B. P. Lanyon, M. Zwerger, P. Jurcevic, C. Hempel, W. Dür, H. J. Briegel, R. Blatt, and C. F. Roos, Experimental Violation of Multipartite Bell Inequalities with Trapped Ions, Phys. Rev. Lett. 112, 100403 (2014) [arXiv:1312.4810].

  16. P. Sekatski, M. Aspelmeyer, and N. Sangouard, Macroscopic Optomechanics from Displaced Single-Photon Entanglement, Phys. Rev. Lett. 112, 080502 (2014)  [arXiv:1401.2357].

  17. W. Dür, M. Skotiniotis, F. Fröwis, and B. Kraus, Improved quantum metrology using quantum error-correction, Phys. Rev. Lett. 112, 080801 (2014) [arXiv:1310.3750].

  18. M. Stobińska, F. Töppel, P. Sekatski, and A. Buraczewski, Towards loophole-free Bell inequality test with preselected unsymmetrical singlet states of light, Phys. Rev. A 89, 022119 (2014) [arXiv:1304.7460].

  19. S. Weinfurtner, G. De las Cuevas, M. A. Martin-Delgado, and H. J. Briegel, Reducing space-time to binary information, J. Phys. A: Math. Theor. 47,095301 (2014) [arXiv:1210.5182].

  20. M. Van den Nest and W. Dür, Exponentially improved classical and quantum algorithms for three-body Ising models, Phys. Rev. A 89, 012334 (2014) [arXiv:1304.2879].

  21. P. Sekatski, N. Sangouard, and N. Gisin, The size of quantum superpositions as measured with "classical" detectors, Phys. Rev. A 89, 012116 (2014)  [arXiv:1306.0843].

Preprints

  1. J. Combes, C. Ferrie, C. Cesare, M. Tiersch, G. J. Milburn, H. J. Briegel, and C. M. Caves, In-situ characterization of quantum devices with error correction, e-print arXiv:1405.5656 [quant-ph] (2014).

  2. T. Müller and H. J. Briegel, Stochastic libertarianism: How to maintain integrity in action without determinism, Preprint philsci-archive:10223 (2014).

 

[ 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]

2013

Journal Articles

  1. S. N. Filippov, A. A. Melnikov, and M. Ziman, Dissociation and annihilation of multipartite entanglement structure in dissipative quantum dynamics, Phys. Rev. A 88, 062328 (2013) [arXiv:1310.4790]. 

  2. M. Tiersch, G. G. Guerreschi, J. Clausen, and H. J. Briegel, Approaches to Measuring Entanglement in Chemical Magnetometers, J. Phys. Chem. A 118, 13 (2013)  [arXiv:1308.5172].

  3. W. L. Boyajian, V. Murg, and B. Kraus, Compressed Simulation of evolutions of the XY-model, Phys. Rev. A 88, 052329 (2013) [arXiv:1305.5895].

  4. B. P. Lanyon, P. Jurcevic, M. Zwerger, C. Hempel, E. A. Martinez, W. Dür, H. J. Briegel, R. Blatt, and C. F. Roos, Measurement-Based Quantum Computation with Trapped Ions, Phys. Rev. Lett. 111, 210501 (2013) [arXiv:1308.5102].

  5. D. E. Bruschi, N. Friis, I. Fuentes, and S. Weinfurtner, On the robustness of entanglement in analogue gravity systems, New J. Phys. 15, 113016 (2013) [arXiv:1305.3867].

  6. F. Fröwis, M. van den Nest, and W. Dür, Certifiability criterion for large-scale quantum systems, New J. Phys. 15, 113011 (2013) [arXiv:1306.0370].

  7. F. Kesting, F. Fröwis, and W. Dür, Effective noise channels for encoded quantum systems, Phys. Rev. A 88, 042305 (2013) [arXiv:1306.1738].

  8. H. J. Briegel and S. Popescu, Intra-molecular refrigeration in enzymes, Proc. R. Soc. A 469, 20110290 (2013) [arXiv:0912.2365].

  9. M. Skotiniotis, B. Toloui, I. T. Durham, and B. C. Sanders, Quantum frameness for Charge-Parity-Time inversion symmetry, Phys. Rev. Lett. 111, 020504 (2013) [arXiv:1306.6114].

  10. M. Zwerger, H. J. Briegel, and W. Dür, Universal and Optimal Error Thresholds for Measurement-Based Entanglement Purification, Phys. Rev. Lett. 110, 260503 (2013) [arXiv:1303.2852].

  11. G. G. Guerreschi, M. Tiersch, U. Steiner, and H. J. Briegel, Optical switching of radical pair conformation enhances magnetic sensitivity, Chem. Phys. Lett. 572, 106 (2013) [arXiv:1206.1280].

  12. M. Skotiniotis, W. Dür, and B. Kraus, Efficient quantum communication under collective noise, Quant. Inf. Comp. 13, 0290 (2013) [arXiv:1204.0891].

  13. D. Manzano, Quantum transport in quantum networks and photosynthetic complexes at the steady state, PLoS ONE 8, e57041 (2013) [arXiv:1206.2524].

  14. V. Nebendahl and W. Dür, Improved numerical methods for innite spin chains with long-range interactions, Phys. Rev. B 87, 075413 (2013) [arXiv:1205.2674].

  15. M. Tiersch, F. de Melo, and A. Buchleitner, Universality in open system entanglement dynamics, J. Phys. A: Math. Gen. 46, 085301 (2013) [arXiv:0810.2506].

  16. C. Song, T. Rohmer, M. Tiersch, J. Zaanen, J. Hughes, and J. Matysik, Solid-State NMR Spectroscopy to Probe Photoactivation in Canonical Phytochromes, Photochemistry and Photobiology 89, 259 (2013).

  17. T. Carle, B. Kraus, W. Dür, and J. I. de Vicente, Purification to Locally Maximally Entangleable States, Phys. Rev. A 87, 012328 (2013) [arXiv:1208.2553].

  18. A. Asadian, D. Manzano, M. Tiersch, and H. J. Briegel, Heat transport through lattices of quantum harmonic oscillators in arbitrary dimensions, Phys. Rev. E 87, 012109 (2013) [arXiv:1204.0904].

 

[ 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 ]

2012

Journal Articles

  1. H. J. Briegel, On creative machines and the physical origins of freedom, Sci. Rep. 2, 522 (2012).

  2. D. Manzano, M. Tiersch, A. Asadian, and H. J. Briegel, Quantum transport efficiency and Fourier's law,  Phys. Rev. E 86, 061118 (2012) [arXiv:1112.2839].

  3.  D. Manzano, Statistical measures of complexity for quantum systems with continuous variables, Physica A 391, 6238 (2012) [arXiv:1105.0628].

  4. F. Fröwis and W. Dür, Are cloned quantum states macroscopic? Phys. Rev. Lett. 109, 170401 (2012) [arXiv:1203.0319].

  5. F. Fröwis and W. Dür, Measures of macroscopicity for quantum spin systems, New J. Phys. 14, 093039 (2012) [arXiv:1205.3048].

  6. M. C. Tichy, M. Tiersch, F. Mintert, and A. Buchleitner, Many-particle interference beyond many-boson and many-fermion statistics, New J. Phys. 14, 093015 (2012) [arXiv:1204.5588].

  7. M. Tiersch and H. J. Briegel, Decoherence in the chemical compass: The role of decoherence for avian magnetoreception, Phil. Trans. R. Soc. A 370, 4517 (2012) [arXiv:1204.4179].

  8. M. Tiersch, S. Popescu, and H. J. Briegel, A critical view on transport and entanglement in models of photosynthesis, Phil. Trans. R. Soc. A 370, 3771 (2012)  [arXiv:1104.3883].

  9. M. Zwerger, W. Dür, and H. J. Briegel, Measurement-based quantum repeaters, Phys. Rev. A 85, 062326 (2012) [arXiv:1204.2178].

  10. G. G. Guerreschi, J. Cai, S. Popescu, and H. J. Briegel, Persistent dynamic entanglement from classical motion: how bio-molecular machines can generate nontrivial quantum states, New J. Phys. 14, 053043 (2012) [arXiv:1111.2126].

  11. F. Fröwis, Kind of entanglement that speeds up quantum evolution, Phys. Rev. A 85, 052127 (2012) [arXiv:1204.1212].

  12. F. Fröwis and W. Dür, Stability of encoded macroscopic quantum superpositions, Phys. Rev. A 85, 052329 (2012) [arXiv:1201.2184].

  13. H. J. Briegel and G. De las Cuevas, Projective simulation for artificial intelligence, Sci. Rep. 2, 400 (2012) [arXiv:1104.3787].

  14. J. Clausen, G. Bensky, and G. Kurizki, Task-optimized control of open quantum systems, Phys. Rev. A 85, 052105 (2012) [arXiv:1111.2847].

  15. M. Tiersch, U. Steiner, S. Popescu, and H. J. Briegel, Open Quantum System Approach to the Modeling of Spin Recombination Reactions, J. Phys. Chem. A 116, 4020 (2012) [arXiv:1204.4634].

  16. T. Moroder, and O. Gittsovich, Calibration robust entanglement detection beyond Bell inequalities, Phys. Rev. A 85, 032301 (2012) [arXiv:1111.5874].

 

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