Gurugram, India

Anshul Saini

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anshul Saini. Retrieved from https://idiyas.com/inventor/anshul-saini

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: Anshul Saini and Hybrid Computing for Confidential Data Retrieval.

Introduction

Anshul Saini is an inventor based in Gurugram, India. His patent work includes a hybrid-computing approach to confidential database searches and access-less data retrieval.

Latest Patents

Saini is associated with 1 patent, titled “Hybrid Computing for Access-Less Surgical Retrieval.” The invention describes systems and methods for confidential database searches and retrieval using a hybrid computing system with multithreaded processing. It combines quantum and classical processors: a classical processor authenticates requests and creates request strings, which are then interfaced with a quantum processor to run parallel Grover searches. The system can also retrieve data from smart contracts in blockchain ledgers and sub-ledgers, and obtain dynamic market data through a legacy transformation platform using derived values and a machine learning model.

Career Highlights

Saini is associated with Bank of America Corporation. His patent describes the use of quantum and classical computing, blockchain-based data sources, and machine learning in a data retrieval workflow.

Collaborations

The provided information identifies Rajalakshmi Arumugam and Ramya Sivaramakrishnan as Saini’s coworkers.

Conclusion

Anshul Saini’s patent presents a hybrid approach to confidential searching and data retrieval, bringing together quantum processing, classical computing, blockchain data, and machine learning.

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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