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US Patent 11924334 Quantum neural network

Patent 11924334 was granted and assigned to Google on March, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
0
Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
119243340
Patent Inventor Names
Hartmut Neven0
Edward Henry Farhi0
Date of Patent
March 5, 2024
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Patent Application Number
181172320
Date Filed
March 3, 2023
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Patent Citations
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US Patent 11568293 Quantum formulation independent solver
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US Patent 11601265 Quantum neural network
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US Patent 11593707 Compressed unsupervised quantum state preparation with quantum autoencoders
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US Patent 10417553 Quantum-assisted training of neural networks
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US Patent 10755188 Unified nonlinear modeling approach for machine learning and artificial intelligence (attractor assisted AI)
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US Patent 11507872 Hybrid quantum-classical computer system and method for performing function inversion
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US Patent 11537928 Quantum-classical system and method for matrix computations
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US Patent 11562284 Gate formation for a quantum processor
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Patent Primary Examiner
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Hosuk Song
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CPC Code
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G06N 3/063
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G06N 3/08
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G06N 10/00
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H04L 2209/34
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H04L 9/0852
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B82Y 10/00
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G06N 20/00
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Patent abstract

A quantum neural network architecture. In one aspect, a quantum neural network trained to perform a machine learning task includes: an input quantum neural network layer comprising (i) multiple qubits prepared in an initial quantum state encoding a machine learning task data input, and (ii) a target qubit; a sequence of intermediate quantum neural network layers, each intermediate quantum neural network layer comprising multiple quantum logic gates that operate on the multiple qubits and target qubit; and an output quantum neural network layer comprising a measurement quantum gate that operates on the target qubit and provides as output data representing a solution to the machine learning task.

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