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US Patent 11657312 Short-depth active learning quantum amplitude estimation without eigenstate collapse

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Patent
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116573120
Date of Patent
May 23, 2023
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Patent Application Number
167788780
Date Filed
January 31, 2020
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Patent Citations
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US Patent 11157817 Discrete variational auto-encoder systems and methods for machine learning using adiabatic quantum computers
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Patent Citations Received
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US Patent 11875224 Entity steering of a running quantum program
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Patent Primary Examiner
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Mohammed Alam
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Techniques and a system to facilitate estimation of a quantum phase, and more specifically, to facilitate estimation of an expectation value of a quantum state, by utilizing a hybrid of quantum and classical methods are provided. In one example, a system is provided. The system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include an encoding component and a learning component. The encoding component can encode an expectation value associated with a quantum state. The learning component can utilize stochastic inference to determine the expectation value based on an uncollapsed eigenvalue pair.

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