US Patent 11295207 Quantum deep learning
Patent 11295207 was granted and assigned to Microsoft on April, 2022 by the United States Patent and Trademark Office.
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112952070
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April 5, 2022
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155329960
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November 28, 2015
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112952070
Date of Patent
April 5, 2022
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155329960
Date Filed
November 28, 2015
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US Patent 11295207 Quantum deep learning
Article
Boltzmann machines are trained using an objective function that is evaluated by sampling quantum states that approximate a Gibbs state. Classical processing is used to produce the objective function, and the approximate Gibbs state is based on weights and biases that are refined using the sample results. In some examples, amplitude estimation is used. A combined classical/quantum computer produces suitable weights and biases for classification of shapes and other applications.
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Patent applicant
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Patent jurisdiction
Patent number
11295207
Date of patent
April 5, 2022
Patent application number
15532996
Date Filed
November 28, 2015
Patent primary examiner
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