Jonas Stein

Orcid: 0000-0001-5727-9151

Affiliations:
  • LMU Munich, Germany


According to our database1, Jonas Stein authored at least 37 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
0
5
10
15
20
5
4
2
15
10
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data.
CoRR, 2024

Optimizing Sensor Redundancy in Sequential Decision-Making Problems.
CoRR, 2024

Sequential Hamiltonian Assembly: Enhancing the training of combinatorial optimization problems on quantum computers.
CoRR, 2024

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms.
CoRR, 2024

Towards Robust Benchmarking of Quantum Optimization Algorithms.
CoRR, 2024

Quantum Denoising Diffusion Models.
Proceedings of the IEEE International Conference on Quantum Software, 2024

Cohesive Quantum Circuit Layer Construction with Reinforcement Learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

The Questionable Influence of Entanglement in Quantum Optimisation Algorithms.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Challenges for Reinforcement Learning in Quantum Circuit Design.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Benchmarking Quantum Surrogate Models on Scarce and Noisy Data.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Quantum Advantage Actor-Critic for Reinforcement Learning.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Solving the Turbine Balancing Problem using Quantum Annealing.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Quantum Circuit Design: A Reinforcement Learning Challenge.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Challenges for Reinforcement Learning in Quantum Computing.
CoRR, 2023

Introducing Reducing-Width-QNNs, an AI-inspired Ansatz design pattern.
CoRR, 2023

Quantum Surrogate Modeling for Chemical and Pharmaceutical Development.
CoRR, 2023

Combining the QAOA and HHL Algorithm to achieve a Substantial Quantum Speedup for the Unit Commitment Problem.
CoRR, 2023

Approximative Lookup-Tables and Arbitrary Function Rotations for Facilitating NISQ-Implementations of the HHL and Beyond.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Applying QNLP to Sentiment Analysis in Finance.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Towards Transfer Learning for Large-Scale Image Classification Using Annealing-Based Quantum Boltzmann Machines.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Adapting the DisCoCat-Model for Question Answering in the Chinese Language.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Black Box Optimization Using QUBO and the Cross Entropy Method.
Proceedings of the Computational Science - ICCS 2023, 2023

Weight Re-mapping for Variational Quantum Algorithms.
Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
NISQ-ready community detection based on separation-node identification.
CoRR, 2022

Optimization of QKD Networks with Classical and Quantum Annealing.
CoRR, 2022

Modifying the quantum-assisted genetic algorithm.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022


  Loading...