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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 2: Data Analytics & Machine Learning

AKPIK 2.9: Talk

Wednesday, March 23, 2022, 18:15–18:30, AKPIK-H13

Adding Errors to the Quantum Circuit Model — •Tom Weber¹, Matthias Riebisch¹, Kerstin Borras^2,4, Karl Jansen³, and Dirk Krücker² — ¹Universität 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.