Gurugram, India

Sanjay Lal Gupta

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanjay Lal Gupta. Retrieved from https://idiyas.com/inventor/sanjay-lal-gupta

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sanjay Lal Gupta and Hybrid Computing for Confidential Data Retrieval.

Introduction

Sanjay Lal Gupta is an inventor based in Gurugram, India. His patent work describes a hybrid-computing approach to confidential database searches and access-less data retrieval.

Latest Patents

Gupta is associated with 1 patent: “Hybrid computing for access-less surgical retrieval.” The invention describes systems and methods that combine quantum and classical processors to search for and retrieve data relevant to reports. A classical processor authenticates requests and creates request strings, which are then interfaced with a quantum processor. The system runs Grover’s searches in parallel across those strings and can fetch data from smart contracts in blockchain ledgers and sub-ledgers. It also describes obtaining dynamic market data through a legacy transformation platform, including dynamically derived values and a machine learning model.

Career Highlights

Gupta’s listed company affiliation is Bank of America Corporation. His patent describes applying hybrid computing, blockchain data sources, and machine learning to confidential information retrieval.

Collaborations

The listed coworkers associated with Gupta are Rajalakshmi Arumugam and Ramya Sivaramakrishnan.

Conclusion

Sanjay Lal Gupta’s patent presents a hybrid quantum-classical system for confidential searches and data retrieval, bringing together parallel search, blockchain records, and dynamically derived information.

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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