2 citations · 2 across the 2 of their papers we have counts for
3 papers
quant-ph2025★ 2 cited
Extrapolation method to optimize linear-ramp QAOA parameters: Evaluation of QAOA runtime scaling
Vanessa Dehn, Martin Zaefferer, Gerhard Hellstern +3
The Quantum Approximate Optimization Algorithm (QAOA) has been suggested as a promising candidate for the solution of combinatorial optimization problems. Yet, whether - or under w…
quant-ph2023
A hybrid quantum-classical approach to warm-starting optimization
Vanessa Dehn, Thomas Wellens
The Quantum Approximate Optimization Algorithm (QAOA) is a promising candidate for solving combinatorial optimization problems more efficiently than classical computers. Recent stu…
quant-ph2023
Quantum computer based Feature Selection in Machine Learning
Gerhard Hellstern, Vanessa Dehn, Martin Zaefferer
The problem of selecting an appropriate number of features in supervised learning problems is investigated in this paper. Starting with common methods in machine learning, we treat…