113 citations · 155 across the 10 of their papers we have counts for
10 papers
A Reality Check on Quantum Optimisation: Evidence from an Industrial Case Study
Hila Safi, Karen Wintersperger, Oliver von Sicard +2
Quantum Processing Units promise speed-ups for selected computational problems, including combinatorial optimisation, but their industrial utility remains an open challenge. We stu…
Grover Adaptive Search with Problem-Specific State Preparation
Maximilian Hess, Lilly Palackal, Abhishek Awasthi +5
Grover's search algorithm is one of the basic building block in the world of quantum algorithms. Successfully applying it to combinatorial optimization problems is a subtle challen…
Generative-enhanced optimization for knapsack problems: an industry-relevant study
Yelyzaveta Vodovozova, Abhishek Awasthi, Caitlin Jones +4
Optimization is a crucial task in various industries such as logistics, aviation, manufacturing, chemical, pharmaceutical, and insurance, where finding the best solution to a probl…
Polynomial Reduction Methods and their Impact on QAOA Circuits
Lukas Schmidbauer, Karen Wintersperger, Elisabeth Lobe +1
Abstraction layers are of paramount importance in software architecture, as they shield the higher-level formulation of payload computations from lower-level details. Since quantum…
Ion-Based Quantum Computing Hardware: Performance and End-User Perspective
Thomas Strohm, Karen Wintersperger, Florian Dommert +6
This is the second paper in a series of papers providing an overview of different quantum computing hardware platforms from an industrial end-user perspective. It follows our first…
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…
Influence of HW-SW-Co-Design on Quantum Computing Scalability
Hila Safi, Karen Wintersperger, Wolfgang Mauerer
The use of quantum processing units (QPUs) promises speed-ups for solving computational problems. Yet, current devices are limited by the number of qubits and suffer from significa…
Neutral Atom Quantum Computing Hardware: Performance and End-User Perspective
Karen Wintersperger, Florian Dommert, Thomas Ehmer +7
We present an industrial end-user perspective on the current state of quantum computing hardware for one specific technological approach, the neutral atom platform. Our aim is to a…
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…
QPU-System Co-Design for Quantum HPC Accelerators
Karen Wintersperger, Hila Safi, Wolfgang Mauerer
The use of quantum processing units (QPUs) promises speed-ups for solving computational problems, but the quantum devices currently available possess only a very limited number of…