Robust manipulation of superconducting qubits in the presence of fluctuations

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作者
Daoyi Dong
Chunlin Chen
Bo Qi
Ian R. Petersen
Franco Nori
机构
[1] School of Engineering and Information Technology,Department of Control and System Engineering
[2] University of New South Wales,Key Laboratory of Systems and Control
[3] School of Management and Engineering,Physics Department
[4] Nanjing University,undefined
[5] ISS and National Center for Mathematics and Interdis-ciplinary Sciences,undefined
[6] Academy of Mathematics and Systems Science,undefined
[7] CEMS,undefined
[8] RIKEN,undefined
[9] The University of Michigan,undefined
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Superconducting quantum systems are promising candidates for quantum information processing due to their scalability and design flexibility. However, the existence of defects, fluctuations and inaccuracies is unavoidable for practical superconducting quantum circuits. In this paper, a sampling-based learning control (SLC) method is used to guide the design of control fields for manipulating superconducting quantum systems. Numerical results for one-qubit systems and coupled two-qubit systems show that the “smart” fields learned using the SLC method can achieve robust manipulation of superconducting qubits, even in the presence of large fluctuations and inaccuracies.
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