This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: National Technology & Engineering Solutions of Sandia, LLC. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Innovations of Matthew Grace in Quantum Optimization
Introduction
Matthew Grace is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of quantum computing, particularly in the area of optimization problems. His innovative approach combines feedback mechanisms with quantum technology to enhance problem-solving capabilities.
Latest Patents
Matthew Grace holds a patent for a groundbreaking invention titled "Feedback-based quantum optimization." This system is designed to identify approximate solutions to discrete optimization problems using a quantum computing device. The device iteratively configures a layered quantum circuit to evaluate a Hamiltonian representation of a cost function over a set of parameter values. After each iteration, it identifies a new parameter value based on an estimate of an expectation value under the quantum state output by the execution of the layered quantum circuit. The configuration of the layered quantum circuit is updated based on the new parameter value. Ultimately, the output quantum state is measured to identify an approximate solution vector, which serves as the optimization results indicative of a solution to the discrete optimization problem.
Career Highlights
Matthew Grace is currently employed at National Technology & Engineering Solutions of Sandia, LLC. His work focuses on advancing quantum computing technologies and their applications in solving complex optimization challenges. His expertise in this field has positioned him as a key player in the ongoing development of innovative solutions.
Collaborations
Matthew collaborates with talented individuals such as Alicia Bette Magann and Mohan Sarovar. Their combined efforts contribute to the advancement of research and development in quantum technologies.
Conclusion
Matthew Grace's contributions to quantum optimization exemplify the potential of innovative thinking in technology. His work not only addresses complex problems but also paves the way for future advancements in quantum computing.