LARGE LANGUAGE MODELS FOR QUANTUM TRANSPILING

    公开(公告)号:US20250036993A1

    公开(公告)日:2025-01-30

    申请号:US18673709

    申请日:2024-05-24

    Abstract: In an example, a method for training a machine learning model to transpile quantum circuits includes generating, by a quantum circuit generator, a first plurality of quantum circuits according to a general quantum circuit design language, wherein each of the first plurality of quantum circuits comprises a sequence of instructions comprising one or more gates and one or more gate operations; obtaining a second plurality of quantum circuits, wherein each of the second plurality of quantum circuits is transpiled for a target quantum device from a corresponding one of the first plurality of quantum circuits; and training, using the first plurality of quantum circuits and the second plurality of quantum circuits, a machine learning model to transpile a quantum circuit according to the general quantum circuit design language to a quantum circuit for the target quantum device.

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