Hans J. Briegel

63 papers A* 1B 2Journal 58Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentanglement by means of action-induced representations. CoRR Gorka Muñoz-Gil, Hendrik Poulsen Nautrup, Arunava Majumder, Paulin de Schoulepnikoff, Florian Fürrutter, Marius Krumm, Hans J. Briegel
2026	J	`jnl`	Multi-excitation projective simulation with a many-body physics-inspired inductive bias. Artif. Intell. Philip A. LeMaitre, Marius Krumm, Hans J. Briegel
2025	J	`jnl`	Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders. CoRR Paulin de Schoulepnikoff, Gorka Muñoz-Gil, Hendrik Poulsen Nautrup, Hans J. Briegel
2025	J	`jnl`	Learning to reset in target search problems. CoRR Gorka Muñoz-Gil, Hans J. Briegel, Michele Caraglio
2025	J	`jnl`	Synthesis of discrete-continuous quantum circuits with multimodal diffusion models. CoRR Florian Fürrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Muñoz-Gil
2025	J	`jnl`	The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops. CoRR Lukas J. Fiderer, Paul C. Barth, Isaac D. Smith, Hans J. Briegel
2024	J	`jnl`	A Universal Quantum Computer From Relativistic Motion. CoRR Philip A. LeMaitre, T. Rick Perche, Marius Krumm, Hans J. Briegel
2024	J	`jnl`	Free Energy Projective Simulation (FEPS): Active inference with interpretability. CoRR Joséphine Pazem, Marius Krumm, Alexander Q. Vining, Lukas J. Fiderer, Hans J. Briegel
2024	J	`jnl`	Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning. Quantum Francesco Preti, Michael Schilling, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Felix Motzoi, Hans J. Briegel
2024	J	`jnl`	Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias. CoRR Philip A. LeMaitre, Marius Krumm, Hans J. Briegel
2024	J	`jnl`	Quantum circuit synthesis with diffusion models. Nat. Mac. Intell. Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel
2023	J	`jnl`	Automated gadget discovery in the quantum domain. Mach. Learn. Sci. Technol. Lea M. Trenkwalder, Andrea López-Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J. Briegel
2023	J	`jnl`	How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment. Minds Mach. Benjamin Eva, Katja Ried, Thomas Müller, Hans J. Briegel
2023	J	`jnl`	Measurement-based quantum computation from Clifford quantum cellular automata. CoRR Hendrik Poulsen Nautrup, Hans J. Briegel
2023	J	`jnl`	Optimal foraging strategies can be learned and outperform Lévy walks. CoRR Gorka Muñoz-Gil, Andrea López-Incera, Lukas J. Fiderer, Hans J. Briegel
2023	J	`jnl`	Quantum circuit synthesis with diffusion models. CoRR Florian Fürrutter, Gorka Muñoz-Gil, Hans J. Briegel
2023	J	`jnl`	Reinforcement learning and decision making via single-photon quantum walks. CoRR Fulvio Flamini, Marius Krumm, Lukas J. Fiderer, Thomas Müller, Hans J. Briegel
2023	J	`jnl`	The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications. Quantum Isaac D. Smith, Marius Krumm, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Hans J. Briegel
2023	J	`jnl`	Variational measurement-based quantum computation for generative modeling. CoRR Arunava Majumder, Marius Krumm, Tina Radkohl, Hendrik Poulsen Nautrup, Sofiène Jerbi, Hans J. Briegel
2022	J	`jnl`	Automated Gadget Discovery in Science. CoRR Lea M. Trenkwalder, Andrea López-Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J. Briegel
2022	J	`jnl`	Operationally meaningful representations of physical systems in neural networks. Mach. Learn. Sci. Technol. Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner
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	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`	Variational quantum policies for reinforcement learning. CoRR Sofiène Jerbi, Casper Gyurik, Simon C. Marshall, Hans J. Briegel, Vedran Dunjko
2020	J	`jnl`	Collective defense of honeybee colonies: experimental results and theoretical modeling. CoRR Andrea López-Incera, Morgane Nouvian, Katja Ried, Thomas Müller, Hans J. Briegel
2020	J	`jnl`	Development of swarm behavior in artificial learning agents that adapt to different foraging environments. CoRR Andrea López-Incera, Katja Ried, Thomas Müller, Hans J. Briegel
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`	Operationally meaningful representations of physical systems in neural networks. CoRR Hendrik Poulsen Nautrup, Tony Metger, Raban Iten, Sofiène Jerbi, Lea M. Trenkwalder, Henrik Wilming, Hans J. Briegel, Renato Renner
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
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`	How a minimal learning agent can infer the existence of unobserved variables in a complex environment. CoRR Katja Ried, Benjamin Eva, Thomas Müller, Hans J. Briegel
2019	J	`jnl`	Machine learning for long-distance quantum communication. CoRR Julius Wallnöfer, Alexey A. Melnikov, Wolfgang Dür, Hans J. Briegel
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
2019	J	`jnl`	Photonic architecture for reinforcement learning. CoRR Fulvio Flamini, Arne Hamann, Sofiène Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup, Hans J. Briegel
2018	J	`jnl`	Benchmarking Projective Simulation in Navigation Problems. IEEE Access Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2018	J	`jnl`	Benchmarking projective simulation in navigation problems. CoRR Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
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
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 machine learning with glow for episodic tasks and decision games. CoRR Jens Clausen, Hans J. Briegel
2016	J	`jnl`	Quantum-enhanced machine learning. CoRR Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
2015	J	`jnl`	A Chance for Attributable Agency. Minds Mach. Hans J. Briegel, Thomas Müller
2015	J	`jnl`	Framework for learning agents in quantum environments. CoRR Vedran Dunjko, Jacob M. Taylor, Hans J. Briegel
2015	J	`jnl`	Projective Simulation for Classical Learning Agents: A Comprehensive Investigation. New Gener. Comput. Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, Hans J. Briegel
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	J	`jnl`	Projective simulation applied to the grid-world and the mountain-car problem. Artif. Intell. Res. Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2014	J	`jnl`	Projective simulation applied to the grid-world and the mountain-car problem. CoRR Alexey A. Melnikov, Adi Makmal, Hans J. Briegel
2013	J	`jnl`	Projective simulation for classical learning agents: a comprehensive investigation CoRR Julian Mautner, Adi Makmal, Daniel Manzano, Markus Tiersch, Hans J. Briegel
2009	—	`ch.`	Cluster States. Compendium of Quantum Physics Hans J. Briegel
2004	J	`jnl`	Local invariants for multi-partite entangled states allowing for a simple entanglement criterion. Quantum Inf. Comput. Hans Aschauer, John Calsamiglia, Marc Hein, Hans J. Briegel
2002	J	`jnl`	Computational model underlying the one-way quantum computer. Quantum Inf. Comput. Robert Raussendorf, Hans J. Briegel
1998	—	`conf`	Physical Implementations for Quantum Communication in Quantum Networks. QCQC Hans J. Briegel, J. Ignacio Cirac, Wolfgang Dür, Steven J. van Enk, H. Jeff Kimble, Hideo Mabuchi, Peter Zoller