Quantum deep learning

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 11295207
APP PUB NO 20170364796A1
SERIAL NO

15532996

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Abstract

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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 Owner(s)

Patent OwnerAddress
MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kapoor, Ashish Kirkland, US 65 1494
Svore, Krysta Seattle, US 24 509
Wiebe, Nathan Redmond, US 10 206

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