Patents by Inventor Rajendrakumar Premnarayan Mishra

Rajendrakumar Premnarayan Mishra 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).

  • Patent number: 11989162
    Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.
    Type: Grant
    Filed: September 17, 2021
    Date of Patent: May 21, 2024
    Assignee: Mphasis Limited
    Inventors: Jai Ganesh, Udayaadithya Avadhanam, Nachiket Kare, Ashutosh Vyas, Rajendrakumar Premnarayan Mishra, Rohit Kumar Patel
  • Publication number: 20220092035
    Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.
    Type: Application
    Filed: September 17, 2021
    Publication date: March 24, 2022
    Applicant: Mphasis Limited
    Inventors: Jai Ganesh, Udayaadithya Avadhanam, Nachiket Kare, Ashutosh Vyas, Rajendrakumar Premnarayan Mishra, Rohit Kumar Patel