Gurugram, India

Vineet Khurana

This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vineet Khurana. Retrieved from https://idiyas.com/inventor/vineet-khurana-sj987sdn

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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