arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1908.01092quant-phcs.LG

Machine-learning based three-qubit gate for realization of a Toffoli gate with cQED-based transmon systems

Portland State University(波特兰州立大学);Intel Labs, Intel Corporation(英特尔实验室,英特尔公司)

Sahar Daraeizadeh, Shavindra P. Premaratne, Xiaoyu Song, Marek Perkowski, Anne Y. Matsuura

英文摘要:

We use machine learning techniques to design a 50 ns three-qubit flux-tunable controlled-controlled-phase gate with fidelity of >99.99% for nearest-neighbor coupled transmons in circuit quantum electrodynamics architectures. We explain our gate design procedure where we enforce realistic constraints, and analyze the new gate's robustness under decoherence, distortion, and random noise. Our controlled-controlled-phase gate in combination with two single-qubit gates realizes a Toffoli gate which is widely used in quantum circuits, logic synthesis, quantum error correction, and quantum games.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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