Wednesday, November 30, 201612:30 PM - 1:30 PMT-DO Conference Room (03-123-121)|
QUANTUM OPTIMIZATION: CHALLENGES AND OPPORTUNITIES
Quantum annealing is a promising approach to develop fast and efficient
quantum optimization devices. However, theoretical and technological challenges need to be overcome to successfully implement the adiabatic algorithm. D-Wave has developed quantum annealing devices that have a scalable design but are affected by decoherence, control errors, and limited connectivity. My work has focused on the characterization of D-Wave annealers as open quantum systems and the development of new benchmarking methodologies. These studies are improving our understanding of what type of optimization problems can be efficiently solved by quantum annealers and when quantum optimization is superior to classical optimization. Also, the development of error-correcting codes is crucial for scalable quantum annealing. I will discuss an error-correction scheme that can handle arbitrary optimization problems and can be implemented on a general quantum-annealing hardware.
Host: Rolando Somma