Machine-learning-based three-qubit gate design for the Toffoli gate and parity check in transmon systems
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DOI: 10.1103/physreva.102.012601
Abstract: We use machine-learning techniques to design three-qubit entangling gates with fidelities of g99.9% and duration of 50 ns for nearest-neighbor coupled flux-tunable transmons in circuit quantum electrodynamics architectures. The gate design procedure enforces realistic constraints… read more here.
Keywords: machine learning; gate; three qubit; gate design ... See more keywords