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1. 发明申请

WO2015168557A1 QUANTUM-ASSISTED TRAINING OF NEURAL NETWORKS 审中-公开
标题翻译：量子辅助神经网络训练
公开(公告)号：WO2015168557A1
公开(公告)日：2015-11-05
申请号：PCT/US2015/028800
申请日：2015-05-01
申请人： LOCKHEED MARTIN CORPORATION
发明人： ADACHI, Steven H. , DAVENPORT, Daniel M. , HENDERSON, Maxwell P.
IPC分类号： G06N99/00 , G06N3/06 , G06N3/04 , B82Y10/00
CPC分类号： G06N3/04 , G06N3/06 , G06N99/002
摘要： Aspects of the disclosure provide a method for configuring a Quantum Annealing (QA) device. Then QA device has a plurality of qubits and a plurality of couplers at overlapping intersections of the qubits. The method includes mapping a node of a neural network that have a plurality of nodes and connections between the nodes to a qubit in the QA device, and mapping a connection of the neural network to a coupler at an intersection in the QA device where two qubits corresponding to two nodes connected by the connection intersect. The method further includes mapping a node of the neural network to a chain of qubits. In an embodiment, a coupling between qubits in the chain is configured to be a ferromagnetic coupling in order to map the node of the neural network to the chain of qubits.
摘要翻译：本公开的方面提供了一种用于配置量子退火（QA）装置的方法。然后，QA装置在量子位的重叠交叉处具有多个量子位和多个耦合器。该方法包括将具有多个节点和节点之间的连接的神经网络的节点映射到QA设备中的量子位，并将神经网络的连接映射到QA设备中的交叉点处，其中两个量子位对应于通过连接相连的两个节点。该方法还包括将神经网络的节点映射到量子比特链。在一个实施例中，链中的量子位之间的耦合被配置为铁磁耦合，以将神经网络的节点映射到量子位链。

2. 发明公开

EP3138052A1 QUANTUM-ASSISTED TRAINING OF NEURAL NETWORKS 审中-公开
标题翻译： ON。。。。。。。。。。。。。。
公开(公告)号：EP3138052A1
公开(公告)日：2017-03-08
申请号：EP15723604.3
申请日：2015-05-01
申请人： Lockheed Martin Corporation
发明人： ADACHI, Steven H. , DAVENPORT, Daniel M. , HENDERSON, Maxwell P.
IPC分类号： G06N99/00 , G06N3/06 , G06N3/04 , B82Y10/00
CPC分类号： G06N3/04 , G06N3/06 , G06N99/002
摘要： Aspects of the disclosure provide a method for configuring a Quantum Annealing (QA) device. Then QA device has a plurality of qubits and a plurality of couplers at overlapping intersections of the qubits. The method includes mapping a node of a neural network that have a plurality of nodes and connections between the nodes to a qubit in the QA device, and mapping a connection of the neural network to a coupler at an intersection in the QA device where two qubits corresponding to two nodes connected by the connection intersect. The method further includes mapping a node of the neural network to a chain of qubits. In an embodiment, a coupling between qubits in the chain is configured to be a ferromagnetic coupling in order to map the node of the neural network to the chain of qubits.
摘要翻译：本公开的方面提供了用于配置量子退火（QA）装置的方法。然后，QA装置在量子位的重叠交叉处具有多个量子位和多个耦合器。该方法包括将具有多个节点和节点之间的连接的神经网络的节点映射到QA设备中的量子位，并将神经网络的连接映射到QA设备中的交叉点处，其中两个量子位对应于通过连接相连的两个节点。该方法还包括将神经网络的节点映射到量子比特链。在一个实施例中，链中的量子位之间的耦合被配置为铁磁耦合，以将神经网络的节点映射到量子位链。

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