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Heidelberg 2022 – wissenschaftliches Programm

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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 2: Data Analytics & Machine Learning

AKPIK 2.9: Vortrag

Mittwoch, 23. März 2022, 18:15–18:30, AKPIK-H13

Adding Errors to the Quantum Circuit Model — •Tom Weber1, Matthias Riebisch1, Kerstin Borras2,4, Karl Jansen3, and Dirk Krücker21Universität Hamburg, Hamburg, Germany — 2Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany — 3Deutsches Elektronen-Synchrotron DESY, Zeuthen, Germany — 4RWTH Aachen University, Aachen, Germany

The full potential of quantum computers cannot yet be realised because existing quantum hardware is still error-prone. It is essential to understand the impact of these errors on calculations to counteract them with methods like quantum error mitigation. Models can provide this understanding of the complexity of quantum noise. In addition, they can be a tool for communication between different quantum computing stakeholders who do not necessarily have an education in physics. While the quantum circuit model is commonly used to model gate-based quantum computation, errors are modelled mathematically by quantum operations on density operators. However, the quantum circuit model is restricted to the description of error-free processes. On the other hand, mathematical models are difficult to understand without a background in theoretical physics. Therefore, we present a way to couple both models, combining the comprehensibility of the quantum circuit model with the mathematical models' ability to represent quantum noise accurately.

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