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US Patent 11593707 Compressed unsupervised quantum state preparation with quantum autoencoders

Patent 11593707 was granted and assigned to Zapata Computing on February, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Zapata Computing
Zapata Computing
Current Assignee
Zapata Computing
Zapata Computing
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11593707
Date of Patent
February 28, 2023
Patent Application Number
16460827
Date Filed
July 2, 2019
Patent Citations
‌
US Patent 10133984 Adiabatic phase gates in parity-based quantum computers
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US Patent 10452989 Quanton representation for emulating quantum-like computation on classical processors
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US Patent 11468357 Hybrid quantum-classical computer for packing bits into qubits for quantum optimization algorithms
Patent Citations Received
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US Patent 12067458 Parameter initialization on quantum computers through domain decomposition
0
0
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US Patent 12008433 Variational quantum state preparation
0
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US Patent 11924334 Quantum neural network
0
Patent Primary Examiner
‌
Dave Misir
CPC Code
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G06F 17/12
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G06F 15/82
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G06F 15/08
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B82Y 10/00
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G06G 7/58
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G06F 9/48
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G06F 9/455
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G06N 99/00
...

A system and method include techniques for: generating, by a quantum autoencoder, based on a set of quantum states encoded in a set of qubits, a decoder circuit that acts on a subset of the set of qubits, a size of the subset being less than a size of the set; and generating a reduced-cost circuit, the reduced-cost circuit comprising: (1) a new parameterized quantum circuit acting only on the subset of the set of qubits, and (2) the decoder circuit.

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