This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2019-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2021
Title: Innovations of Ramis Movassagh in Quantum Approximate Optimization
Introduction
Ramis Movassagh is a prominent inventor based in Boston, MA (US). He has made significant contributions to the field of quantum computing, particularly in the area of quantum approximate optimization. With a total of 3 patents, his work is paving the way for advancements in optimization techniques.
Latest Patents
One of his latest patents focuses on cost function deformation in quantum approximate optimization. This patent provides techniques for mapping a cost function associated with a combinatorial optimization problem to an optimization problem over allowed quantum states. A quantum Hamiltonian is constructed for the cost function, and a set of trial states are generated through the physical time evolution of quantum hardware, interspersed with control pulses. The aspects of this patent include measuring a quantum cost function for the trial states, determining a trial state that results in optimal values, and deforming a Hamiltonian to find an optimal state. This optimal state is then used as a starting point for subsequent optimizations on a deformed Hamiltonian until an optimizer is determined with respect to a desired Hamiltonian.
Career Highlights
Ramis Movassagh is currently employed at International Business Machines Corporation (IBM), where he continues to innovate in the field of quantum computing. His work is instrumental in developing new methodologies that enhance the efficiency of quantum algorithms.
Collaborations
Throughout his career, Movassagh has collaborated with notable figures in the field, including Jay Michael Gambetta and Antonio Mezzacapo. These collaborations have further enriched his research and contributed to the advancement of quantum technologies.
Conclusion
Ramis Movassagh's contributions to quantum approximate optimization demonstrate his expertise and commitment to innovation in quantum computing. His patents and ongoing work at IBM are significant steps toward solving complex optimization problems using quantum technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile