Company Filing History:
Years Active: 2023-2025
Title: Cansu Demirkiran: Innovator in Photonic Processing
Introduction
Cansu Demirkiran is a prominent inventor based in Brookline, MA (US). She has made significant contributions to the field of photonic processing, particularly through her innovative patents. With a total of two patents to her name, Cansu is recognized for her work that combines advanced technology with practical applications.
Latest Patents
Cansu's latest patents focus on the development of a residue number system in a photonic matrix accelerator. This photonic processor utilizes light signals and a residue number system (RNS) to perform complex calculations. The processor sums two or more values by shifting the phase of a light signal with phase shifters and reading out the summed phase with a coherent detector. Due to the nature of phase, which winds back every 2π radians, the photonic processor performs addition modulo 2π. This innovative approach allows the processor to perform dot products and correct erroneous residues. Furthermore, the photonic processor can use the RNS in combination with a positional number system (PNS) to extend its numerical range, which is particularly useful for accelerating homomorphic encryption (HE)-based deep learning.
Career Highlights
Cansu is currently employed at Lightmatter, Inc., where she continues to push the boundaries of photonic technology. Her work is instrumental in advancing the capabilities of photonic processors, making them more efficient and versatile for various applications.
Collaborations
Cansu collaborates with talented individuals such as Eric Hein and Nicholas Christopher Harris. Their combined expertise contributes to the innovative projects at Lightmatter, Inc., fostering a collaborative environment that encourages groundbreaking advancements in technology.
Conclusion
Cansu Demirkiran is a trailblazer in the field of photonic processing, with her patents showcasing her innovative spirit and technical prowess. Her contributions are paving the way for future advancements in technology, particularly in the realm of deep learning and encryption.