- 专利标题: MACHINE LEARNING ASSISTED QUBIT STATE READOUT
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申请号: US17025374申请日: 2020-09-18
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公开(公告)号: US20210150402A1公开(公告)日: 2021-05-20
- 发明人: Benjamin Lienhard , William D. Oliver , Simon Gustavsson , Antti Pekka Vepsalainen , Terry Philip Orlando , Luke Colin Gene Govia , Hari Kiran Krovi , Thomas Ohki
- 申请人: RAYTHEON BBN TECHNOLOGIES CORP. , MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- 申请人地址: US MA CAMBRIDGE; US MA CAMBRIDGE
- 专利权人: RAYTHEON BBN TECHNOLOGIES CORP.,MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- 当前专利权人: RAYTHEON BBN TECHNOLOGIES CORP.,MASSACHUSETTS INSTITUTE OF TECHNOLOGY
- 当前专利权人地址: US MA CAMBRIDGE; US MA CAMBRIDGE
- 主分类号: G06N10/00
- IPC分类号: G06N10/00 ; G06N3/08 ; G06K9/62
摘要:
Techniques for machine learning assisted qubit state readout are disclosed. A system a set of training data that describes states of multiple qubits, and trains a neural network to determine qubit states based on the set of training data. The system obtains one or more unlabeled qubit signals, and determines one or more states corresponding to the unlabeled qubit signal(s), using the neural network. The unlabeled qubit signal(s) may include one or more multiplexed qubit signals, and the state(s) corresponding to the unlabeled qubit signal(s) may include one or more multi-qubit states based on the multiplexed qubit signal(s).
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