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Arrays vs. Decision Diagrams: A Case Study on Quantum Circuit Simulators

Thomas Grurl, Jurgen Fus, Stefan Hillmich, Lukas Burgholzer, Robert Wille

202021 citationsDOI

Abstract

Despite the recent progress in the physical implementation of quantum computers, a significant amount of research still depends on the use of quantum circuit simulators running on classical hardware. While there are several techniques for quantum circuit simulation, many state-of-the-art simulators rely on an array-based simulation approach. However, this array-based approach has exponential memory complexity with respect to the number of simulated qubits. To address this drawback, complementary approaches based on decision diagrams have been proposed. While these approaches allow simulating circuits that could not be simulated before, they come with their own drawbacks. Unfortunately, no detailed case study has been conducted to date, which compares those complementary approaches and their respective strengths and weaknesses. In this work, we are addressing this by providing a survey on both approaches as well as a detailed case study on their respective performances.

Topics & Concepts

Computer scienceStrengths and weaknessesComputer engineeringQubitQuantumQuantum circuitQuantum computerTheoretical computer scienceWork (physics)Electronic circuitInfluence diagramState (computer science)Electronic engineeringAlgorithmElectrical engineeringArtificial intelligenceQuantum error correctionEngineeringDecision treePhilosophyMechanical engineeringEpistemologyQuantum mechanicsPhysicsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyLow-power high-performance VLSI design
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