Seattle, WA, United States of America

Matthew Benjamin Hastings

USPTO Granted Patents = 18 

 

Average Co-Inventor Count = 1.9

ph-index = 5

Forward Citations = 65(Granted Patents)


Location History:

  • Santa Barbara, CA (US) (2016 - 2019)
  • Seattle, WA (US) (2019 - 2024)

Company Filing History:


Years Active: 2016-2025

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18 patents (USPTO):Explore Patents

Title: Matthew Benjamin Hastings: Pioneering Innovations in Quantum and Classical Computation

Introduction

Matthew Benjamin Hastings, an accomplished inventor based in Seattle, WA, holds an impressive portfolio of 13 patents. His work primarily focuses on the intersection of classical and quantum computation, aiming to tackle complex problems in data analysis and machine learning.

Latest Patents

Among his latest patents is one titled "Classical and quantum computation for principal component analysis of multi-dimensional datasets." This groundbreaking invention presents methods for encoding datasets in tensors of rank p, utilizing classical linear algebra techniques alongside quantum methods that offer remarkable speed advantages. Specifically, Hastings' quantum approaches achieve a quartic speedup while requiring exponentially less space than leading classical algorithms, thereby addressing large-scale inference challenges in machine learning.

Another notable patent by Hastings is "Quantum procedures for approximate optimization by quenching." This disclosure outlines quantum algorithms for optimization, particularly in the context of MAX-EK-LIN2, revealing a unique duality in algorithmic performance. His research highlights improvements over random solutions while providing classical algorithm comparisons, underlining the additional guarantees offered by quantum methodologies.

Career Highlights

Matthew Hastings is a prominent figure at Microsoft Technology Licensing, LLC, where he has made significant contributions to the field of computation. His work has not only advanced theoretical understanding but also provided practical solutions applicable to contemporary challenges in data science and optimization.

Collaborations

Throughout his career, Hastings has collaborated with esteemed colleagues, including David B. Wecker and Jeongwan Haah. These partnerships have fostered an environment of innovation and creativity, allowing for the exploration of complex computational problems from multiple perspectives.

Conclusion

Matthew Benjamin Hastings continues to be a vital contributor to the fields of classical and quantum computation. His inventive spirit and commitment to solving challenging problems have made him a distinguished inventor, with a notable impact on both theoretical and applied aspects of technology. As innovations in computation evolve, Hastings' patents will undoubtedly play a pivotal role in shaping the future of machine learning and data analysis.

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