Patents by Inventor Hengameh Bagherianlemraski

Hengameh Bagherianlemraski has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • OPTICAL ISING MACHINES AND OPTICAL CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20220012619
    Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
    Type: Application
    Filed: April 26, 2021
    Publication date: January 13, 2022
    Applicant: Massachusetts Institute of Technology
    Inventors: Charles ROQUES-CARMES, Yichen Shen, Li JING, Tena DUBCEK, Scott A. SKIRLO, Hengameh BAGHERIANLEMRASKI, Marin SOLJACIC
  • Optical Ising machines and optical convolutional neural networks
    Patent number: 11017309
    Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
    Type: Grant
    Filed: July 11, 2018
    Date of Patent: May 25, 2021
    Assignee: Massachusetts Institute of Technology
    Inventors: Charles Roques-Carmes, Yichen Shen, Li Jing, Tena Dubcek, Scott A. Skirlo, Hengameh Bagherianlemraski, Marin Soljacic
  • Optical Ising Machines and Optical Convolutional Neural Networks
    Publication number: 20190019100
    Abstract: A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.
    Type: Application
    Filed: July 11, 2018
    Publication date: January 17, 2019
    Inventors: Charles ROQUES-CARMES, Yichen Shen, Li Jing, Tena Dubcek, Scott A. Skirlo, Hengameh Bagherianlemraski, Marin Soljacic