Machine learning network for screening quantum devices
AssigneeThe Boeing Company
InventorAntonio Rodolph Bighetti Mei
Life of this patent
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Abstract
A method, apparatus, system, and computer program product for screening quantum devices. A computer system sends features extracted from an image of a quantum device into a classification neural network. The classification neural network is configured to identify a set of characteristics for the quantum device from a group of mutually exclusive characteristics based on the features identified in the image of the quantum device and output the set of characteristics identified for the quantum device. The computer system receives the set of characteristics identified by the classification neural network for the quantum devices. The set of characteristics indicates whether the quantum devices will function as desired.
Claims29
A device screening system comprising:
- a computer system;
- a feature machine learning model system in the computer system, wherein the feature machine learning model system is configured to receive images of quantum devices, identify features for the quantum devices in the images, and output the features identified for the quantum devices in the images of the quantum devices;
- and
- a classification neural network in the computer system, wherein the classification neural network is configured to receive the features for the quantum devices identified in the images of the quantum devices, identify a set of characteristics for the quantum devices from a group of mutually exclusive characteristics based on the features identified in the images of the quantum devices, and output the set of characteristics identified for the quantum devices that are identified in the images of the quantum devices, wherein the set of characteristics indicates whether the quantum devices will function as desired.
A device screening system comprising:
- a computer system;
- and
- a classification machine learning model system in the computer system, wherein the classification machine learning model system is configured to receive features for quantum devices identified in images of the quantum devices, identify a set of characteristics for the quantum devices, and output the set of characteristics identified for the quantum devices based on the features identified in the images of the quantum devices, wherein the set of characteristics indicates whether the quantum devices will function as desired.
A method for screening quantum devices, the method comprising:
- sending, by a computer system, features extracted from an image of a quantum device into a classification neural network, wherein the classification neural network is configured to identify a set of characteristics for the quantum device from a group of mutually exclusive characteristics based on the features identified in the image of the quantum device and output the set of characteristics identified for the quantum device;
- and
- receiving, by the computer system, the set of characteristics identified by classification neural network for the quantum device, wherein the set of characteristics indicates whether the quantum device will function as desired.
A computer program product for screening quantum devices, the computer program product comprising:
- a computer-readable storage media;
- first program code, stored on the computer-readable storage media, executable by a computer system to cause the computer system to receive features received in an output from a feature extraction neural network configured to receive an image of a quantum device and output the features identified in the image of the quantum device;
- second program code, stored on the computer-readable storage media, executable by the computer system to cause the computer system to send features extracted from an image of a quantum device into a classification neural network, wherein the classification neural network is configured to identify a set of characteristics for the quantum devices based on the features identified in the image of the quantum device;
- and
- third program code, stored on the computer-readable storage media, executable by the computer system to cause the computer system to receive the set of characteristics identified by the classification neural network for the quantum devices based on the features identified in the image of the quantum device, wherein the set of characteristics indicates whether the quantum device will function as desired.
Dependencies are inferred from the claim text.