The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 17, 2023

Filed:

Mar. 23, 2020
Applicant:

Massachusetts Institute of Technology, Cambridge, MA (US);

Inventors:

Jacques Johannes Carolan, Cambridge, MA (US);

Gregory R. Steinbrecher, Brookline, MA (US);

Dirk Robert Englund, Brookline, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/067 (2006.01); G06N 10/00 (2022.01); G06N 3/04 (2023.01); G02F 1/35 (2006.01);
U.S. Cl.
CPC ...
G06N 3/067 (2013.01); G02F 1/35 (2013.01); G06N 3/04 (2013.01); G06N 10/00 (2019.01); G02F 2203/50 (2013.01);
Abstract

Many of the features of neural networks for machine learning can naturally be mapped into the quantum optical domain by introducing the quantum optical neural network (QONN). A QONN can be performed to perform a range of quantum information processing tasks, including newly developed protocols for quantum optical state compression, reinforcement learning, black-box quantum simulation and one way quantum repeaters. A QONN can generalize from only a small set of training data onto previously unseen inputs. Simulations indicate that QONNs are a powerful design tool for quantum optical systems and, leveraging advances in integrated quantum photonics, a promising architecture for next generation quantum processors.


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