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US Patent 11748648 Quantum pulse optimization using machine learning

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11748648
Patent Inventor Names
Ismael Faro Sertage
Paul Nation
Francisco Jose Martin Fernandez
Jay M. Gambetta
Date of Patent
September 5, 2023
Patent Application Number
16458586
Date Filed
July 1, 2019
Patent Citations
‌
US Patent 10797684 Superconducting waveform synthesizer
‌
US Patent 11086665 Scheduling services for quantum computing
‌
US Patent 10176433 Training a quantum optimizer
‌
US Patent 10223643 Reduction and/or mitigation of crosstalk in quantum bit gates
‌
US Patent 10332023 Hardware-efficient variational quantum eigenvalue solver for quantum computing machines
‌
US Patent 10483980 Parametrically activated quantum logic gates
‌
US Patent 10622978 Quantum logic gate design and optimization
Patent Citations Received
‌
US Patent 11983605 Partitioned template matching and symbolic peephole optimization
0
Patent Primary Examiner
‌
James N Fiorillo
CPC Code
‌
G06F 9/30101
‌
G06F 9/48
‌
G06F 8/443
‌
H03K 3/38
‌
G06F 15/16
‌
G06N 20/00
‌
G06N 10/20
‌
G06N 10/00
...

Techniques for facilitating quantum pulse optimization using machine learning are provided. In one example, a system includes a classical processor and a quantum processor. The classical processor employs a quantum pulse optimizer to generate a quantum pulse based on a machine learning technique associated with one or more quantum computing processes. The quantum processor executes a quantum computing process based on the quantum pulse.

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