Aqarios’ publications
Unveiling the Frontier of Quantum Research
Rooted in almost a decade of in-depth quantum research, Aqarios presents a continually growing collection of curated scientific publications. Explore our expanding library, and immerse yourself in an array of topics, be it pioneering research breakthroughs or insightful explorations, each crafted to enrich your perspective on this revolutionary domain.
Whether you’re a quantum enthusiast, a researcher, or a technology enthusiast, our publication database is your gateway to the forefront of quantum knowledge.
Publications 2024
IEEE Transactions on Quantum Engineering
David Bucher, Jonas Nüßlein, Corey O’Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-Popien
Quantum Annealing, Hybrid Quantum Computing, Problem Decomposition, Load Scheduling, Combinatorial Optimization
Solving the Turbine Balancing Problem using Quantum Annealing
GECCO 2024
Arnold Unterauer, David Bucher, Matthias Knoll, Constantin Economides, Michael Lachner, Thomas Germain, Moritz Kessel, Smajo Hajdinovic, Jonas Stein
Quantum Annealing, Turbine Balancing Problem (TBP), QUBO, Qbsolv, Quantum-Inspired Approach, Combinatorial Optimization
From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware
FICC 2025
Tobias Rohe, Simon Grätz, Michael Kölle, Sebastian Zielinski, Jonas Stein, Claudia Linnhoff-Popien
Quantum Computing, Hybrid Quantum Computing, Quantum Software Development, Development Pipeline, Quantum Applications, Software Engineering of Quantum Applications
Towards Robust Benchmarking of Quantum Optimization Algorithms
IEEE QCE 2024
David Bucher, Jonas Nüßlein, Corey O’Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-Popien
Quantum Annealing, Hybrid Quantum Computing, Problem Decomposition, Load Scheduling, Combinatorial Optimization
The Questionable Influence of Entanglement in Quantum Optimisation Algorithms
IEEE QCE 2024
Tobias Rohe, Daniëlle Schuman, Jonas Nüßlein, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
Quantum Algorithm, Quantum Optimisation, Entanglement, Variational Quantum Eigensolver, Ansatz Design
CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA
IEEE QCE 2024
Jonas Stein, Jonas Blenninger, David Bucher, Josef Peter Eder, Elif Çetiner, Maximilian Zorn, Claudia Linnhoff-Popien
Quantum Computing, Quantum Optimization, QAOA, Quantum Circuit Simulation, CUDA, HPC
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
IEEE QCE 2024
Michael Kölle, Daniel Seidl, Maximilian Zorn, Philipp Altmann, Jonas Stein, Thomas Gabor
Quantum Computing, Quantum Reinforcement Learning, Advantage Actor-Critic
Quantum Circuit Design: A Reinforcement Learning Challenge
AAMAS 2024
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhof-Popien
Architecture Search, Circuit Optimization, Quantum Computing, Reinforcement Learning
Weight Re-Mapping for Variational Quantum Algorithms
Agents and Artificial Intelligence
Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Tobias Rohe, Robert Müller, Claudia Linnhoff-Popien
Variational Quantum Circuits, Variational Classifier, Weight Re-Mapping
Quantum Denoising Diffusion Models
IEEE QSW 2024
Michael Kölle, Gerhard Stenzel, Jonas Stein, Sebastian Zielinski, Björn Ommer, Claudia Linnhoff-Popien
Quantum Diffusion Models, Quantum Machine Learning, Variational Quantum Circuits, Quantum Convolutions, Denoising Diffusion
Introducing Reduced-Width QNNs, an AI-inspired Ansatz Design Pattern
ICAART 2024
Jonas Stein, Tobias Rohe, Francesco Nappi, Julian Hager, David Bucher, Maximilian Zorn, Michael Kölle, Claudia Linnhoff-Popien
Quantum Computing, Variational Quantum Circuits, Circuit Optimization, Variational Quantum Eigensolver
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
ICAART 2024
Jonas Stein, Navid Roshani, Maximilian Zorn, Philipp Altmann, Michael Kölle, Claudia Linnhoff-Popien
Quantum Computing, Learning, Parameters, Iterative, VQE
Benchmarking Quantum Surrogate Models on Scarce and Noisy Data
ICAART 2024
Jonas Stein, Michael Poppel, Philip Adamczyk, Ramona Fabry, Zixin Wu, Michael Kölle, Jonas Nüßlein, Daniëlle Schuman, Philipp Altmann, Thomas Ehmer, Vijay Narasimhan, Claudia Linnhoff-Popien
Quantum Computing, Surrogate Model, NISQ, QNN
Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
ICAART 2024
Jonas Stein, Daniëlle Schuman, Magdalena Benkard, Thomas Holger, Wanja Sajko, Michael Kölle, Jonas Nüßlein, Leo Sünkel, Olivier Salomon, Claudia Linnhoff-Popien
Quantum Boltzmann Machine, Quantum Annealing, Anomaly Detection
A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis
ICAART 2024
Michael Kölle, Tom Schubert, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
Reinforcement Learning, Quantum Computing, Quantum Circuit Synthesis
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
ICAART 2024
Michael Kölle, Jonas Maurer, Philipp Altmann, Leo Sünkel, Jonas Stein, Claudia Linnhoff-Popien
Variational Quantum Circuits, Autoencoder, Dimensionality Reduction
Quantum Advantage Actor-Critic for Reinforcement Learning
ICAART 2024
Michael Kölle, Mohamad Hgog, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Stein, Claudia Linnhoff-Popien
Quantum Computing, Quantum Reinforcement Learning, Advantage Actor-Critic
Introducing Reduced-Width QNNs, an AI-Inspired Ansatz Design Pattern
ICAART 2024
Jonas Stein; Tobias Rohe; Francesco Nappi; Julian Hager; David Bucher; Maximilian Zorn; Michael Kölle and Claudia Linnhoff-Popien
Quantum Computing, Variational Quantum Circuits, Circuit Optimization, Variational Quantum Eigensolver
A Competitive Showcase of Quantum versus Classical Algorithms in Energy Coalition Formation
IEEE QCE 2024
Naeimeh Mohseni, Thomas Morstyn, Corey O Meara, David Bucher, Jonas Nüßlein, Giorgio Cortiana
Energy coalition formation, Quantum Annealing, Quantum Approximate Optimization Algorithm (QAOA)
Quantum Advantage Actor-Critic for Reinforcement Learning
Springer KI – Künstliche Intelligenz 2024
Jonas Blenninger, David Bucher, Giorgio Cortiana, Kumar Ghosh, Naeimeh Mohseni, Jonas Nüßlein, Corey O’Meara, Daniel Porawski & Benedikt Wimmer
Quantum Optimization, Graph Theory, Renewable Energy Distribution, Benchmarking, Quantum Annealing
Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games
ICAART 2024
Jonas Nüβlein,Daniëlle Schuman, David Bucher, Naeimeh Mohseni, Kumar Ghosh,Corey O’Meara,
Giorgio Cortiana, Claudia Linnhoff-Popien
Renewable Energy, Energy Networks, Micro-Grids, Optimization, Coalition Structure Generation, Quantum Computing
Q-GRID: Quantum Optimization for the Future Energy Grid
Springer KI – Künstliche Intelligenz 2024
Jonas Blenninger, David Bucher, Giorgio Cortiana, Kumar Ghosh, Naeimeh Mohseni, Jonas Nüßlein, Corey O’Meara, Daniel Porawski & Benedikt Wimmer
Quantum Optimization, Energy Grid, Peer-to-Peer Trading, Variational Quantum Algorithms, Decentralized Energy
Quantum Advantage Actor-Critic for Reinforcement Learning
Springer KI – Künstliche Intelligenz 2024
Jonas Blenninger, David Bucher, Giorgio Cortiana, Kumar Ghosh, Naeimeh Mohseni, Jonas Nüßlein, Corey O’Meara, Daniel Porawski & Benedikt Wimmer
Quantum Optimization, Graph Theory, Renewable Energy Distribution, Benchmarking, Quantum Annealing
Towards Less Greedy Quantum Coalition Structure Generation in Induced Subgraph Games
ICAART 2024
Jonas Nüβlein,Daniëlle Schuman, David Bucher, Naeimeh Mohseni, Kumar Ghosh,Corey O’Meara,
Giorgio Cortiana, Claudia Linnhoff-Popien
Renewable Energy, Energy Networks, Micro-Grids, Optimization, Coalition Structure Generation, Quantum Computing
Publications 2023
Sampling problems on a Quantum Computer
IEEE Quantum Week 2023
Maximilian Balthasar Mansky, Jonas Nüßlein, David Bucher, Daniëlle Schuman, Sebastian Zielinski, Claudia Linnhoff-Popien
Surveys, Monte Carlo Methods, Quantum Computing, Quantum Mechanics, Sampling Methods, Hardware, Bayes Methods
Approximative lookup-tables and arbitrary function rotations for facilitating NISQ-implementations of the HHL and beyond
IEEE Quantum Week 2023
Petros Stougiannidis, Jonas Stein, David Bucher, Sebastian Zielinski, Sebastian Feld and Claudia Linnhoff-Popien
Quantum Circuit Construction, Gate Model, NISQ, HHL, Approximation
Influence of Different 3SAT-to-QUBO Transformations on the Solution Quality of Quantum Annealing: A Benchmark Study
GECCO 2023
Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
Quantum Annealing, QUBO, Ising, Satisfiability, 3SAT
NISQ-Ready Community Detection Based on Separation-Node Identification
MDPI Mathematics 2023
Jonas Stein, Dominik Ott, Jonas Nüßlein, David Bucher, Mirco Schönfeld, Sebastian Feld
QUBO, Community Detection, NISQ, Optimization
Applying QNLP to sentiment analysis in finance
IEEE Quantum Week 2023
Jonas Stein, Ivo Christ, Nicolas Kraus, Maximilian Balthasar Mansky, Robert Müller, Claudia Linnhoff-Popien
Quantum Machine Learning, Finance, Natural Language Processing, Sentiment Analysis
Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization
ICCS 2023
Jonas Nüßlein, Sebastian Zielinski, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
QUBO, Quantum Annealing, Satisfiability, 3-SAT
A Relative Approach to Comparative Performance Analysis for Quantum Optimization
GECCO 2023
Thomas Gabor, Sebastian Zielinski, Sofie Henghuber, Claudia Linnhoff-Popien
QUBO, Combinatorial Optimization, Quantum Annealing
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines
IEEE Quantum Week 2023
Daniëlle Schuman, Leo Sünkel, Philipp Altmann, Jonas Stein, Christoph Roch, Thomas Gabor, Claudia Linnhoff-Popien
Quantum Annealing, Quantum Machine Learning, Quantum Boltzmann Machines
Adapting the DisCoCat framework for Question Answering to the Chinese Language
IEEE Quantum Week 2023
Maximilian Balthasar Mansky, Franziska Wörle, Jonas Stein, Robert Müller, Claudia Linnhoff-Popien
Quantum Machine Learning, Natural Language Processing, Category Theory
Black Box Optimization Using QUBO and the Cross Entropy Method
ICCS 2023
Jonas Nüßlein, Christoph Roch, Thomas Gabor, Jonas Stein, Claudia Linnhoff-Popien, Sebastian Feld
QUBO, Black-Box, Quantum Annealing, SAT, Ising
Pattern QUBOs: Algorithmic Construction of 3SAT-to-QUBO Transformations
MDPI Electronics 2023
Sebastian Zielinski, Jonas Nüßlein, Jonas Stein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
QUBO, 3SAT, Combinatorial Optimization, Pattern QUBO
Evidence that PUBO outperforms QUBO when solving continuous optimization problems with the QAOA
GECCO 2023
Jonas Stein, Farbod Chamanian, Maximilian Zorn, Jonas Nüßlein, Sebastian Zielinski, Michael Kölle, Claudia Linnhoff-Popien
QUBO, PUBO, Continuous Optimization, QAOA
SEQUENT: Towards Traceable Quantum Machine Learning Using Sequential Quantum Enhanced Training
ICAART 2023
Philipp Altmann, Leo Sünkel, Jonas Stein, Tobias Müller, Christoph Roch, Claudia Linnhoff-Popien
Quantum Machine Learning, Transfer Learning, Hybrid Quantum Computing
Improving Convergence for Quantum Variational Classifiers Using Weight Re-Mapping
ICAART 2023
Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Mansky, Julian Hager, Claudia Linnhoff-Popien
Variational Quantum Circuits, Variational Classifier, Weight Re-Mapping
Publications 2022
A Grover based Quantum Algorithm for Finding Pure Nash Equilibria in Graphical Games
ICSA-C 2022
Christoph Roch, Santiago Londono Castillo, Claudia Linnhoff-Popien
Grover Algorithms, Game Theory, Satisfiability, Quantum Gate Model
A Quantum Annealing Approach for Solving Hard Variants of the Stable Marriage Problem
I4CS 2022
Christoph Roch, David Winderl, Claudia Linnhoff-Popien, Sebastian Feld
QUBO, Combinatorial Optimization, Quantum Annealing, Hybrid Algorithm
Algorithmic QUBO Formulations for k-SAT and Hamiltonian Cycles
GECCO 2022
Jonas Nüßlein, Thomas Gabor, Claudia Linnhoff-Popien, Sebastian Feld
QUBO, Ising, Satisfiability, k-SAT, Hamiltonian Cycle
Strategic Portfolio Optimization Using Simulated, Digital, and Quantum Annealing
MDPI Applied Sciences 2022
Jonas Lang, Sebastian Zielinski, Sebastian Feld
Quantum Annealing, Digital Annealing, Portfolio Optimization, QUBO
How to Approximate any Objective Function via Quadratic Unconstrained Binary Optimization
IEEE SANER 2022
Thomas Gabor, Marian Lingsch Rosenfeld, Claudia Linnhoff-Popien, Sebastian Feld
QUBO, Quantum Computing, Approximation, Combinatorial Optimization
Modifying the Quantum-assisted Genetic Algorithm
GECCO 2022
Thomas Gabor, Michael Lachner, Nico Kraus, Christoph Roch, Jonas Stein, Daniel Ratke, Claudia Linnhoff-Popien
QUBO, Quantum Annealing, Hybrid Algorithm, Genetic Algorithm
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