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20222024
most citedEquivalence Checking of Quantum Circuits with the ZX-Calculus

47 citations · 120 across the 7 of their papers we have counts for

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quant-ph2024

Automatically Refining Assertions for Efficient Debugging of Quantum Programs

Damian Rovara, Lukas Burgholzer, Robert Wille

As new advancements in the field of quantum computing lead to the development of increasingly complex programs, approaches to validate and debug these programs are becoming more im…

quant-ph2024

Stripping Quantum Decision Diagrams of their Identity

Aaron Sander, Ioan-Albert Florea, Lukas Burgholzer +1

Classical representations of quantum states and operations as vectors and matrices are plagued by an exponential growth in memory and runtime requirements for increasing system siz…

quant-ph20232 cited

Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers

Tom Peham, Nina Brandl, Richard Kueng +2

Circuit synthesis is the task of decomposing a given logical functionality into a sequence of elementary gates. It is (depth-)optimal if it is impossible to achieve the desired fun…

quant-ph202323 cited

Decision Diagrams for Quantum Computing

Robert Wille, Stefan Hillmich, Lukas Burgholzer

Quantum computing promises to solve some important problems faster than conventional computations ever could. Currently available NISQ devices on which first practical applications…

quant-ph202338 cited

MQT QMAP: Efficient Quantum Circuit Mapping

Robert Wille, Lukas Burgholzer

Quantum computing is an emerging technology that has the potential to revolutionize fields such as cryptography, machine learning, optimization, and quantum simulation. However, a…

quant-ph202310 cited

The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus

Robert Wille, Lukas Burgholzer, Stefan Hillmich +3

Quantum computers promise to efficiently solve important problems classical computers never will. However, in order to capitalize on these prospects, a fully automated quantum soft…