Invention Grant
- Patent Title: Quantum-assisted training of neural networks
-
Application No.: US14702203Application Date: 2015-05-01
-
Publication No.: US10417553B2Publication Date: 2019-09-17
- Inventor: Steven H. Adachi , Daniel M. Davenport , Maxwell P. Henderson
- Applicant: Lockheed Martin Corporation
- Applicant Address: US MD Bethesda
- Assignee: Lockheed Martin Corporation
- Current Assignee: Lockheed Martin Corporation
- Current Assignee Address: US MD Bethesda
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N10/00 ; G06N3/06

Abstract:
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.
Public/Granted literature
- US20150317558A1 QUANTUM-ASSISTED TRAINING OF NEURAL NETWORKS Public/Granted day:2015-11-05
Information query