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20222026
most citedMQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing

197 citations · 424 across the 19 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

quant-ph2024

Towards Equivalence Checking of Classical Circuits Using Quantum Computing

Nils Quetschlich, Tobias Forster, Adrian Osterwind +2

Quantum computers and quantum algorithms have made great strides in the last few years and promise improvements over classical computing for specific tasks. Although the current ha…

quant-ph2024★ 5 cited

A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem

Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano +2

Leveraging quantum computers for optimization problems holds promise across various application domains. Nevertheless, utilizing respective quantum computing solvers requires descr…

quant-ph2024★ 10 cited

Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers

Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano +2

Optimizing objective functions stands to benefit significantly from leveraging quantum computers, promising enhanced solution quality across various application domains in the futu…

quant-ph2024★ 51 cited

The MQT Handbook: A Summary of Design Automation Tools and Software for Quantum Computing

Robert Wille, Lucas Berent, Tobias Forster +10

Quantum computers are becoming a reality and numerous quantum computing applications with a near-term perspective (e.g., for finance, chemistry, machine learning, and optimization)…

quant-ph2024

A Framework to Formulate Pathfinding Problems for Quantum Computing

Damian Rovara, Nils Quetschlich, Robert Wille

With the applications of quantum computing becoming more and more widespread, finding ways that allow end users without experience in the field to apply quantum computers to solve…

quant-ph2024

Towards Application-Aware Quantum Circuit Compilation

Nils Quetschlich, Florian J. Kiwit, Maximilian A. Wolf +4

Quantum computing has made tremendous improvements in both software and hardware that have sparked interest in academia and industry to realize quantum computing applications. To t…

quant-ph2024★ 2 cited

Utilizing Resource Estimation for the Development of Quantum Computing Applications

Nils Quetschlich, Mathias Soeken, Prakash Murali +1

Quantum computing has made considerable progress in recent years in both software and hardware. But to unlock the power of quantum computers in solving problems that cannot be effi…