1 citations · 1 across the 3 of their papers we have counts for
3 papers
Effective Embedding of Integer Linear Inequalities for Variational Quantum Algorithms
Maximilian Hess, Lilly Palackal, Abhishek Awasthi +1
In variational quantum algorithms, constraints are usually added to the problem objective via penalty terms. For linear inequality constraints, this procedure requires additional s…
Realistic Runtime Analysis for Quantum Simplex Computation
Sabrina Ammann, Maximilian Hess, Debora Ramacciotti +10
In recent years, strong expectations have been raised for the possible power of quantum computing for solving difficult optimization problems, based on theoretical, asymptotic wors…
Graph-controlled Permutation Mixers in QAOA for the Flexible Job-Shop Problem
Lilly Palackal, Leonhard Richter, Maximilian Hess
One of the most promising attempts towards solving optimization problems with quantum computers in the noisy intermediate scale era of quantum computing are variational quantum alg…