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US Patent 11537928 Quantum-classical system and method for matrix computations

Patent 11537928 was granted and assigned to Zapata Computing on December, 2022 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Zapata Computing
Zapata Computing
Date Filed
May 1, 2020
Date of Patent
December 27, 2022
Patent Applicant
Zapata Computing
Zapata Computing
Patent Application Number
16864998
Patent Citations
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US Patent 10776709 Generalized quantum channels
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US Patent 10846366 Selecting parameters for a quantum approximate optimization algorithm (QAOA)
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US Patent 10990677 Adversarial quantum machine learning
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US Patent 11010682 Efficient synthesis of probabilistic quantum circuits with fallback
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US Patent 11244240 Fidelity estimation for quantum computing systems
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US Patent 11169801 Hybrid quantum-classical computer for variational coupled cluster method
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US Patent 10242321 Efficient synthesis of repeat-until-success circuits in clifford + T basis
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US Patent 10275717 Training quantum evolutions using sublogical controls
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US Patent 10325218 Constructing quantum process for quantum processors
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US Patent 10572816 System and method for controlling superconducting qubits
•••
Patent Citations Received
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US Patent 11941484 Generating non-classical measurements on devices with parameterized time evolution
9
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US Patent 11924334 Quantum neural network
10
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11537928
Patent Primary Examiner
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Daniel D Chang
CPC Code
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G06F 17/16
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G06N 5/003
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G06F 17/11
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G06N 10/00

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