11 papers
QAOA-Predictor: Forecasting Success Probabilities and Minimal Depths for Efficient Fixed-Parameter Optimization
Rodrigo Coelho, Georg Kruse, Jeanette Miriam Lorenz
Quantum Computing promises to solve complex combinatorial optimization problems more efficiently than classical methods, with the Quantum Approximate Optimization Algorithm (QAOA)…
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…
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…
AI-Driven Approaches for Glaucoma Detection -- A Comprehensive Review
Yuki Hagiwara, Octavia-Andreea Ciora, Maureen Monnet +2
The diagnosis of glaucoma plays a critical role in the management and treatment of this vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by dama…
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…