Conyers, GA, United States of America

Lascelles Forrester



 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 33(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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4 patents (USPTO):Explore Patents

Title: Lascelles Forrester: Innovator in Quantum Computing

Introduction

Lascelles Forrester is a prominent inventor based in Conyers, GA (US). He has made significant contributions to the field of quantum computing, holding a total of 4 patents. His work focuses on advancing machine learning and transportation systems through innovative quantum computing methods.

Latest Patents

Forrester's latest patents include a "Quantum computing machine learning module," which outlines methods, systems, and apparatus for training a machine learning model to efficiently route computational tasks using quantum computing resources. This patent emphasizes the importance of data sets in improving the routing of tasks based on previous computational performance. Another notable patent is "Quantum computing improvements to transportation," which presents methods and systems for applying quantum computing to solve complex transportation problems. This patent involves ingesting transportation-related data into a graph structure and using quantum computing to derive operational parameters that enhance transportation metrics.

Career Highlights

Lascelles Forrester is currently employed at Accenture Global Solutions Limited, where he continues to push the boundaries of quantum computing applications. His innovative approach has positioned him as a key player in the development of advanced technologies that leverage quantum mechanics for practical solutions.

Collaborations

Forrester collaborates with talented individuals in his field, including Carl Matthew Dukatz and Daniel Garrison. These partnerships foster a creative environment that enhances the potential for groundbreaking innovations.

Conclusion

Lascelles Forrester's contributions to quantum computing exemplify the intersection of technology and innovation. His patents reflect a commitment to solving complex problems and advancing the capabilities of machine learning and transportation systems.

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