Alicia Bette Magann

Title: Alicia Bette Magann: Innovator in Quantum Optimization

Introduction

Alicia Bette Magann is a prominent inventor based in Titusville, NJ (US). She has made significant contributions to the field of quantum computing, particularly in the area of optimization. Her innovative work has led to the development of a unique patent that addresses complex optimization problems.

Latest Patents

Alicia holds a patent for a system titled "Feedback-based quantum optimization." This invention involves a quantum computing device that identifies approximate solutions to discrete optimization problems. 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. Alicia's patent is a testament to her innovative approach in leveraging quantum technology for practical applications.

Career Highlights

Alicia is currently employed at National Technology & Engineering Solutions of Sandia, LLC. Her role at this esteemed organization allows her to work on cutting-edge technologies and contribute to advancements in engineering and technology solutions.

Collaborations

Alicia collaborates with talented individuals such as Matthew Grace and Kenneth Michael Rudinger. Their teamwork fosters an environment of innovation and creativity, leading to groundbreaking developments in their respective fields.

Conclusion

Alicia Bette Magann is a trailblazer in the realm of quantum optimization, with her patent showcasing her expertise and innovative spirit. Her contributions to the field are paving the way for future advancements in quantum computing and optimization solutions.