Reston, VA, United States of America

Sarad Pant

This inventor holds 1 USPTO granted patent. Top assignee: Noblis, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sarad Pant. Retrieved from https://idiyas.com/inventor/sarad-pant

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sarad Pant and Hardware-Accelerated Quantum Annealing

Introduction

Sarad Pant is an inventor based in Reston, Virginia, whose patent work addresses computational methods for quantum annealing. His listed patent describes using GPU processing to improve the embedding of a quadratic unconstrained binary optimization (QUBO) problem into a quantum annealer’s qubit architecture.

Latest Patents

Pant is associated with one patent, titled “Hardware Accelerated Minor Embedding for Quantum Annealing.” The method receives data representing an initial graph that embeds a QUBO problem into a quantum annealer’s qubit architecture. GPU thread blocks create and update local candidate graphs, evaluate them, and replace the current best graph when specified criteria are met. The method can identify the best graph among local results and use it to configure the quantum annealer. Pant’s listed patent count is 1 patent.

Career Highlights

Pant works at Noblis, Inc. His patent reflects work at the intersection of GPU computing, graph optimization, and quantum annealing, with a focus on finding effective embeddings for optimization problems.

Collaborations

Pant’s listed coworkers include Andrew Dudash and Gabrielle Olshan-Cantin.

Conclusion

Sarad Pant’s patent describes a GPU-assisted approach to minor embedding that can help configure quantum annealers for solving QUBO problems.

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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