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20232026
most citedQuantum Computing Techniques for Multi-Knapsack Problems

28 citations · 30 across the 8 of their papers we have counts for

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quant-ph2026

Quantum Computing -- Strategic Recommendations for the Industry

Marvin Erdmann, Lukas Karch, Abhishek Awasthi +9

This whitepaper surveys the current landscape and short- to mid-term prospects for quantum-enabled optimization and machine learning use cases in industrial settings. Grounded in t…

quant-ph2025

Towards solving industrial integer linear programs with Decoded Quantum Interferometry

Francesc Sabater, Ouns El Harzli, Geert-Jan Besjes +6

Optimization via decoded quantum interferometry (DQI) has recently gained a great deal of attention as a promising avenue for solving optimization problems using quantum computers.…

quant-ph2025★ 1 cited

BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications

Florian Geissler, Eric Stopfer, Christian Ufrecht +19

We present BenchQC, a research project funded by the state of Bavaria, which promotes an application-centric perspective for benchmarking real-world quantum applications. Diverse u…

quant-ph2024★ 1 cited

Quantum Computing for Automotive Applications

Carlos A. Riofrío, Johannes Klepsch, Jernej Rudi Finžgar +7

Quantum computing could impact various industries, with the automotive industry with many computational challenges, from optimizing supply chains and manufacturing to vehicle engin…

quant-ph2024

Assessing the Requirements for Industry Relevant Quantum Computation

Anna M. Krol, Marvin Erdmann, Ewan Munro +2

In this paper, we use open-source tools to perform quantum resource estimation to assess the requirements for industry-relevant quantum computation. Our analysis uses the problem o…

quant-ph2024

QISS: Quantum Industrial Shift Scheduling Algorithm

Anna M. Krol, Marvin Erdmann, Rajesh Mishra +5

In this paper, we show the design and implementation of a quantum algorithm for industrial shift scheduling (QISS), which uses Grover's adaptive search to tackle a common and impor…

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…