Firas Hamze

Title: Firas Hamze: Innovator in Machine Learning and Quantum Computing

Introduction

Firas Hamze is a prominent inventor based in Vancouver, Canada. He has made significant contributions to the fields of machine learning and quantum computing. With a total of 9 patents, his work focuses on advancing computational techniques and methodologies.

Latest Patents

One of Firas Hamze's latest patents is titled "Backpropagation using parametrizing angles of unitary matrix." This invention involves a computing system that includes a processor configured to train a machine learning model through multiple backpropagation iterations. Each iteration generates a unique coordinate pair sequence, which includes non-matching coordinates. The process further involves receiving parametrizing angles associated with these coordinate pairs, computing a unitary matrix, and calculating a loss gradient matrix. Additionally, it computes a Jacobian-vector product (JVP) to update the parametrizing angles based on the JVP.

Another notable patent is "Systems and methods to generate samples for machine learning using quantum computing." This invention describes a hybrid computer that utilizes a quantum processor to perform scalable comparisons of high-entropy samplers. The quantum processor generates samples for machine learning by matching data statistics to the statistics of the quantum processor, ensuring that moments of the data are accurately represented.

Career Highlights

Firas Hamze has worked with several notable companies, including D-Wave Systems Inc. and Microsoft Technology Licensing, LLC. His experience in these organizations has allowed him to develop and refine his innovative ideas in machine learning and quantum computing.

Collaborations

Throughout his career, Firas has collaborated with esteemed colleagues such as William G. Macready and Jack R. Raymond. These collaborations have contributed to the advancement of his research and inventions.

Conclusion

Firas Hamze is a distinguished inventor whose work in machine learning and quantum computing has led to significant advancements in the field. His innovative patents and collaborations highlight his commitment to pushing the boundaries of technology.