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

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

Lead the Quantum Revolution with Confidence

Explore intuitive, automated solutions with Aqarios' Luna Platform. Empowering every user to harness quantum computing’s full potential, Luna helps you navigate and overcome business challenges seamlessly.

Embrace the future, act now!