This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Vineet Khurana: Patent Inventor in Hybrid Computing
Introduction
Vineet Khurana is an inventor based in Gurugram, India, whose patent work explores hybrid computing for confidential database searches and data retrieval. His listed patent portfolio includes 1 patent, and he is associated with Bank of America Corporation.
Latest Patents
Khurana’s patent, “Hybrid Computing for Access-Less Surgical Retrieval,” describes systems and methods for confidential database searching and retrieval using hybrid computing and multi-thread processing. The proposed system may combine quantum and classical processors: a classical processor authenticates requests and creates request strings, which are then interfaced with a quantum processor for parallel Grover searches. The patent also describes retrieving data from smart contracts in blockchain ledgers and sub-ledgers, as well as obtaining dynamic market data through a legacy transformation platform that uses dynamically derived values and a machine learning model.
Career Highlights
Khurana’s disclosed invention brings together quantum computing, classical processing, blockchain-based data sources, and machine learning. Its stated aim is to support confidential, efficient retrieval of information relevant to reports.
Collaborations
Khurana is associated with Bank of America Corporation. Rajalakshmi Arumugam and Ramya Sivaramakrishnan are identified as some of his coworkers.
Conclusion
Vineet Khurana’s patent presents a hybrid-computing approach to confidential database search and retrieval, combining quantum and classical processing with blockchain and machine-learning technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile