Modelling for Quantum Error Mitigation

2021/03/01 by Tom Weber, Matthias Riebisch, K. Borras +4
Computer Science · Engineering · Physics and Astronomy · #Advancements in Semiconductor Devices and Circuit Design #Artificial intelligence #Computer engineering #Computer science #Noise (video) #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Risk analysis (engineering) #Scalability #Selection (genetic algorithm) #Theoretical computer science #Variety (cybernetics) #quant-ph

paper · pdf · doi:10.1109/icsa-c52384.2021.00026

openalex publication_date 2021/03/01 · arxiv created 2021/04/15 · arxiv updated 2021/04/16 · openalex created_date 2021/04/26 · openalex updated_date 2026/08/05

Abstract

While we expect quantum computers to surpass their classical counterparts in the future, current devices are prone to high error rates and techniques to minimise the impact of these errors are indispensable. There already exists a variety of error mitigation methods addressing this quantum noise that differ in effectiveness, and scalability. But for a more systematic and comprehensible approach we propose the introduction of modelling, in particular for representing cause-effect relations as well as for evaluating methods or combinations thereof with respect to a selection of relevant criteria.

Citations

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