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Optimizing for periodicity: a model-independent approach to flux crosstalk calibration for superconducting circuits
Quantum Science and Technology ( IF 6.7 ) Pub Date : 2024-02-02 , DOI: 10.1088/2058-9565/ad1ecf X Dai , R Trappen , R Yang , S M Disseler , J I Basham , J Gibson , A J Melville , B M Niedzielski , R Das , D K Kim , J L Yoder , S J Weber , C F Hirjibehedin , D A Lidar , A Lupascu
Quantum Science and Technology ( IF 6.7 ) Pub Date : 2024-02-02 , DOI: 10.1088/2058-9565/ad1ecf X Dai , R Trappen , R Yang , S M Disseler , J I Basham , J Gibson , A J Melville , B M Niedzielski , R Das , D K Kim , J L Yoder , S J Weber , C F Hirjibehedin , D A Lidar , A Lupascu
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.
更新日期：2024-02-02
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