Hans J. Briegel

CoRR, June, 2025

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models.

[BibT_eX]

[DOI]

CoRR, June, 2025

The Work Capacity of Channels with Memory: Maximum Extractable Work in Percept-Action Loops.

[BibT_eX]

[DOI]

CoRR, April, 2025

Learning to reset in target search problems.

[BibT_eX]

[DOI]

Gorka Muñoz-Gil

Michele Caraglio

CoRR, March, 2025

2024

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning.

[BibT_eX]

[DOI]

Felix Motzoi

Quantum, 2024

Quantum circuit synthesis with diffusion models.

[BibT_eX]

[DOI]

Florian Fürrutter

Gorka Muñoz-Gil

Nat. Mac. Intell., 2024

Free Energy Projective Simulation (FEPS): Active inference with interpretability.

[BibT_eX]

[DOI]

CoRR, 2024

A Universal Quantum Computer From Relativistic Motion.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias.

[BibT_eX]

[DOI]

Philip A. LeMaitre

Marius Krumm

CoRR, 2024

2023

The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications.

[BibT_eX]

[DOI]

Isaac D. Smith

Marius Krumm

Lukas J. Fiderer

Quantum, December, 2023

Automated gadget discovery in the quantum domain.

[BibT_eX]

[DOI]

Lea M. Trenkwalder

Andrea López-Incera

Fulvio Flamini

Mach. Learn. Sci. Technol., September, 2023

How a Minimal Learning Agent can Infer the Existence of Unobserved Variables in a Complex Environment.

[BibT_eX]

[DOI]

Minds Mach., March, 2023

Measurement-based quantum computation from Clifford quantum cellular automata.

[BibT_eX]

[DOI]

CoRR, 2023

Variational measurement-based quantum computation for generative modeling.

[BibT_eX]

[DOI]

Arunava Majumder

Marius Krumm

Tina Radkohl

Sofiène Jerbi

CoRR, 2023

Optimal foraging strategies can be learned and outperform Lévy walks.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement learning and decision making via single-photon quantum walks.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Operationally meaningful representations of physical systems in neural networks.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., December, 2022

Automated Gadget Discovery in Science.

[BibT_eX]

[DOI]

Lea M. Trenkwalder

Andrea López-Incera

Fulvio Flamini

CoRR, 2022

2021

Experimental quantum speed-up in reinforcement learning agents.

[BibT_eX]

[DOI]

Nat., 2021

Quantum machine learning beyond kernel methods.

[BibT_eX]

[DOI]

Sofiène Jerbi

Lukas J. Fiderer

Jonas M. Kübler

CoRR, 2021

Variational quantum policies for reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2021

Parametrized Quantum Policies for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On the convergence of projective-simulation-based reinforcement learning in Markov decision processes.

[BibT_eX]

[DOI]

Quantum Mach. Intell., 2020

Skill Learning by Autonomous Robotic Playing Using Active Learning and Exploratory Behavior Composition.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2020

Collective defense of honeybee colonies: experimental results and theoretical modeling.

[BibT_eX]

[DOI]

CoRR, 2020

Development of swarm behavior in artificial learning agents that adapt to different foraging environments.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Optimizing Quantum Error Correction Codes with Reinforcement Learning.

[BibT_eX]

[DOI]

Quantum, 2019

A framework for deep energy-based reinforcement learning with quantum speed-up.

[BibT_eX]

[DOI]

Sofiène Jerbi

Lea M. Trenkwalder

CoRR, 2019

Photonic architecture for reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2019

Machine learning for long-distance quantum communication.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Faster quantum mixing for slowly evolving sequences of Markov chains.

[BibT_eX]

[DOI]

Davide Orsucci

Quantum, 2018

Benchmarking Projective Simulation in Navigation Problems.

[BibT_eX]

[DOI]

Alexey A. Melnikov

Adi Makmal

IEEE Access, 2018

2017

Machine learning \& artificial intelligence in the quantum domain.

[BibT_eX]

[DOI]

CoRR, 2017

Speeding-up the decision making of a learning agent using an ion trap quantum processor.

[BibT_eX]

[DOI]

Theeraphot Sriarunothai

CoRR, 2017

Active learning machine learns to create new quantum experiments.

[BibT_eX]

[DOI]

Alexey A. Melnikov

CoRR, 2017

Skill Learning by Autonomous Robotic Playing using Active Learning and Creativity.

[BibT_eX]

[DOI]

CoRR, 2017

Advances in quantum reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

Quantum-enhanced machine learning.

[BibT_eX]

[DOI]

CoRR, 2016

Quantum machine learning with glow for episodic tasks and decision games.

[BibT_eX]

[DOI]

Jens Clausen

CoRR, 2016

Meta-learning within Projective Simulation.

[BibT_eX]

[DOI]

IEEE Access, 2016

Enhanced learning for agents in quantum-accessible environments.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Projective Simulation for Classical Learning Agents: A Comprehensive Investigation.

[BibT_eX]

[DOI]

New Gener. Comput., 2015

A Chance for Attributable Agency.

[BibT_eX]

[DOI]

Thomas Müller

Minds Mach., 2015

Projective simulation with generalization.

[BibT_eX]

[DOI]

CoRR, 2015

Framework for learning agents in quantum environments.

[BibT_eX]

[DOI]

CoRR, 2015

Sequential quantum mixing for slowly evolving sequences of Markov chains.

[BibT_eX]

[DOI]

CoRR, 2015

Quantum mixing of Markov chains for special distributions.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Projective simulation applied to the grid-world and the mountain-car problem.

[BibT_eX]

[DOI]

Alexey A. Melnikov

Adi Makmal

Artif. Intell. Res., 2014

2009

Cluster States.

[BibT_eX]

[DOI]

Proceedings of the Compendium of Quantum Physics, 2009

2004

Local invariants for multi-partite entangled states allowing for a simple entanglement criterion.

[BibT_eX]

[DOI]

Quantum Inf. Comput., 2004

2002

Computational model underlying the one-way quantum computer.

[BibT_eX]

[DOI]

Robert Raussendorf