activity
20202026
most citedQuantum Computing Techniques for Multi-Knapsack Problems

28 citations · 41 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AR2026

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…

quant-ph2025★ 1 cited

Stacking the Odds: Full-Stack Quantum System Design Space Exploration

Hila Safi, Medina Bandic, Christoph Niedermeier +3

Design space exploration (DSE) plays an important role in optimising quantum circuit execution by systematically evaluating different configurations of compilation strategies and h…

quant-ph2024★ 10 cited

Approximating under the Influence of Quantum Noise and Compute Power

Simon Thelen, Hila Safi, Wolfgang Mauerer

The quantum approximate optimisation algorithm (QAOA) is at the core of many scenarios that aim to combine the power of quantum computers and classical high-performance computing a…

quant-ph2023

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…

quant-ph2023★ 28 cited

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…

cs.AR2022★ 2 cited

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…

quant-ph2020

Insights on Training Neural Networks for QUBO Tasks

Thomas Gabor, Sebastian Feld, Hila Safi +2

Current hardware limitations restrict the potential when solving quadratic unconstrained binary optimization (QUBO) problems via the quantum approximate optimization algorithm (QAO…