Vedran Dunjko

Mach. Learn. Sci. Technol., 2024

Curriculum reinforcement learning for quantum architecture search under hardware errors.

[BibT_eX]

[DOI]

CoRR, 2024

2023

LIMDD: A Decision Diagram for Simulation of Quantum Computing Including Stabilizer States.

[BibT_eX]

[DOI]

Quantum, September, 2023

High Dimensional Quantum Machine Learning With Small Quantum Computers.

[BibT_eX]

[DOI]

Simon C. Marshall

Quantum, August, 2023

Hybrid divide-and-conquer approach for tree search algorithms.

[BibT_eX]

[DOI]

Quantum, March, 2023

Structural risk minimization for quantum linear classifiers.

[BibT_eX]

[DOI]

Dyon van Vreumingen

Quantum, January, 2023

Compilation of product-formula Hamiltonian simulation via reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2023

Exponential separations between classical and quantum learners.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing variational quantum state diagonalization using reinforcement learning techniques.

[BibT_eX]

[DOI]

Jaroslaw Adam Miszczak

CoRR, 2023

Shadows of quantum machine learning.

[BibT_eX]

[DOI]

CoRR, 2023

Quantum Policy Gradient Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference on the Theory of Quantum Computation, 2023

Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Application of quantum-inspired generative models to small molecular datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Towards quantum advantage via topological data analysis.

[BibT_eX]

[DOI]

Chris Cade

Quantum, September, 2022

Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning.

[BibT_eX]

[DOI]

Andrea Skolik

Sofiène Jerbi

Quantum, 2022

On establishing learning separations between classical and quantum machine learning with classical data.

[BibT_eX]

[DOI]

CoRR, 2022

Reinforcement Learning Assisted Recursive QAOA.

[BibT_eX]

[DOI]

CoRR, 2022

Equivariant quantum circuits for learning on weighted graphs.

[BibT_eX]

[DOI]

CoRR, 2022

High Dimensional Quantum Learning With Small Quantum Computers.

[BibT_eX]

[DOI]

Simon C. Marshall

CoRR, 2022

Hyperparameter Importance of Quantum Neural Networks Across Small Datasets.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Encoding strongly-correlated many-boson wavefunctions on a photonic quantum computer: application to the attractive Bose-Hubbard model.

[BibT_eX]

[DOI]

Quantum, 2021

On solving classes of positive-definite quantum linear systems with quadratically improved runtime in the condition number.

[BibT_eX]

[DOI]

Davide Orsucci

Quantum, 2021

Smooth input preparation for quantum and quantum-inspired machine learning.

[BibT_eX]

[DOI]

Quantum Mach. Intell., 2021

Quantum-accessible reinforcement learning beyond strictly epochal environments.

[BibT_eX]

[DOI]

Arne Hamann

Sabine Wölk

Quantum Mach. Intell., 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

Reinforcement learning for optimization of variational quantum circuit architectures.

[BibT_eX]

[DOI]

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

Tabu-Driven Quantum Neighborhood Samplers.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 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

Hybrid divide-and-conquer approach for tree search algorithms.

[BibT_eX]

[DOI]

Mathys Rennela

Alfons Laarman

CoRR, 2020

Towards quantum advantage for topological data analysis.

[BibT_eX]

[DOI]

Chris Cade

CoRR, 2020

2019

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

[BibT_eX]

[DOI]

Sofiène Jerbi

Lea M. Trenkwalder

CoRR, 2019

A hybrid algorithm framework for small quantum computers with application to finding Hamiltonian cycles.

[BibT_eX]

[DOI]

Yimin Ge

CoRR, 2019

2018

Optimizing Quantum Error Correction Codes with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Computational speedups using small quantum devices.

[BibT_eX]

[DOI]

Yimin Ge

J. Ignacio Cirac

CoRR, 2018

2017

Super-polynomial separations for quantum-enhanced reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 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 secure delegated classical computing.

[BibT_eX]

[DOI]

Theodoros Kapourniotis

Quantum Inf. Comput., 2016

Quantum-enhanced machine learning.

[BibT_eX]

[DOI]

CoRR, 2016

Blind quantum computing with two almost identical states.

[BibT_eX]

[DOI]

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

Ground state blind quantum computation on AKLT state.

[BibT_eX]

[DOI]

Tomoyuki Morimae

Quantum Inf. Comput., 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

Composable Security of Delegated Quantum Computation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Cryptology - ASIACRYPT 2014, 2014

2013

Extended phase map decompositions for unitaries.

[BibT_eX]

[DOI]

Math. Struct. Comput. Sci., 2013

2012

Novel modifications of parallel Jacobi algorithms.

[BibT_eX]

[DOI]

Numer. Algorithms, 2012

2010

Algebraic characterisation of one-way patterns

[BibT_eX]

[DOI]