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- W4308242597 abstract "Flux tunability is an important engineering resource for superconducting circuits. Large-scale quantum computers based on flux-tunable superconducting circuits face the problem of flux crosstalk, which needs to be accurately calibrated to realize high-fidelity quantum operations. Typical calibration methods either assume that circuit elements can be effectively decoupled and simple models can be applied, or require a large amount of data. Such methods become ineffective as the system size increases and circuit interactions become stronger. Here we propose a new method for calibrating flux crosstalk, which is independent of the underlying circuit model. Using the fundamental property that superconducting circuits respond periodically to external fluxes, crosstalk calibration of N flux channels can be treated as N independent optimization problems, with the objective functions being the periodicity of a measured signal depending on the compensation parameters. We demonstrate this method on a small-scale quantum annealing circuit based on superconducting flux qubits, achieving comparable accuracy with previous methods. We also show that the objective function usually has a nearly convex landscape, allowing efficient optimization." @default.
- W4308242597 created "2022-11-09" @default.
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- W4308242597 date "2022-11-02" @default.
- W4308242597 modified "2023-09-27" @default.
- W4308242597 title "Optimizing for periodicity: a model-independent approach to flux crosstalk calibration for superconducting circuits" @default.
- W4308242597 doi "https://doi.org/10.48550/arxiv.2211.01497" @default.
- W4308242597 hasPublicationYear "2022" @default.
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