28 citations · 63 across the 9 of their papers we have counts for
4 papers · 1 filter
Efficient learning of Sparse Pauli Lindblad models for fully connected qubit topology
Jose Este Jaloveckas, Minh Tham Pham Nguyen, Lilly Palackal +2
The challenge to achieve practical quantum computing considering current hardware size and gate fidelity is the sensitivity to errors and noise. Recent work has shown that by learn…
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…
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…
Quantum Computing Techniques for Multi-Knapsack Problems
Abhishek Awasthi, Francesco Bär, Joseph Doetsch +16
Optimization problems are ubiquitous in various industrial settings, and multi-knapsack optimization is one recurrent task faced daily by several industries. The advent of quantum…