Invention Grant
- Patent Title: Machine learning quantum algorithm validator
-
Application No.: US16395743Application Date: 2019-04-26
-
Publication No.: US11620569B2Publication Date: 2023-04-04
- Inventor: Jay M. Gambetta , Ismael Faro Sertage , Francisco Jose Martin Fernandez
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Erik Johnson
- Main IPC: G06N10/00
- IPC: G06N10/00 ; G06N20/00 ; G06N5/046

Abstract:
The illustrative embodiments provide a method, system, and computer program product for validating quantum algorithms using a machine learning model. In an embodiment, a method includes receiving a training data set. In an embodiment, a method includes training, by a first processor, a machine learning model with the training data set for validation of quantum circuits. In an embodiment, a method includes generating, by the machine learning model, a set of rules for validation of quantum circuits.
Public/Granted literature
- US20200342347A1 MACHINE LEARNING QUANTUM ALGORITHM VALIDATOR Public/Granted day:2020-10-29
Information query