24 citations · 54 across the 9 of their papers we have counts for
9 papers
The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
Benedikt Poggel, Lena Tokuhiro, Georg Kruse +1
Quantum computers are increasingly powerful. Software tools for the development of quantum-enhanced algorithms are maturing. However, the software stack still lacks the connection…
Scalability Challenges in Variational Quantum Optimization under Stochastic Noise
Adelina Bärligea, Benedikt Poggel, Jeanette Miriam Lorenz
With rapid advances in quantum hardware, a central question is whether quantum devices with or without full error correction can outperform classical computers on practically relev…
Creating Automated Quantum-Assisted Solutions for Optimization Problems
Benedikt Poggel, Xiomara Runge, Adelina Bärligea +1
When trying to use quantum-enhanced methods for optimization problems, the sheer number of options inhibits its adoption by industrial end users. Expert knowledge is required for t…
Hybrid Meta-Solving for Practical Quantum Computing
Domenik Eichhorn, Maximilian Schweikart, Nick Poser +3
The advent of quantum algorithms has initiated a discourse on the potential for quantum speedups for optimization problems. However, several factors still hinder a practical realiz…
Solving Combinatorial Optimization Problems with a Block Encoding Quantum Optimizer
Adelina Bärligea, Benedikt Poggel, Jeanette Miriam Lorenz
In the pursuit of achieving near-term quantum advantage for combinatorial optimization problems, the Quantum Approximate Optimization Algorithm (QAOA) and the Variational Quantum E…
Efficient Encodings of the Travelling Salesperson Problem for Variational Quantum Algorithms
Manuel Schnaus, Lilly Palackal, Benedikt Poggel +4
Routing problems are a common optimization problem in industrial applications, which occur on a large scale in supply chain planning. Due to classical limitations for solving NP-ha…
Quantum-Assisted Solution Paths for the Capacitated Vehicle Routing Problem
Lilly Palackal, Benedikt Poggel, Matthias Wulff +3
Many relevant problems in industrial settings result in NP-hard optimization problems, such as the Capacitated Vehicle Routing Problem (CVRP) or its reduced variant, the Travelling…
Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness
Nicola Franco, Tom Wollschläger, Benedikt Poggel +2
Emerging quantum computing technologies, such as Noisy Intermediate-Scale Quantum (NISQ) devices, offer potential advancements in solving mathematical optimization problems. Howeve…
Recommending Solution Paths for Solving Optimization Problems with Quantum Computing
Benedikt Poggel, Nils Quetschlich, Lukas Burgholzer +2
Solving real-world optimization problems with quantum computing requires choosing between a large number of options concerning formulation, encoding, algorithm and hardware. Findin…