Surrogate models for quantum control and optimization
Abstract
Rapid experimental progress has pushed quantum technologies to a scale at which these systems are becoming increasingly hard to simulate classically. Inspite of several quantum supremacy claims over the last years, all have turned out to be classically simulable. The mere focus on these claims of non-simulability highlights the central challenges for quantum technologies, (i) the lack of practical applications of these machines and (ii) the need for better control. In this project we will investigate novel tensor network techniques to develop data efficient quantum control methods. We will further develop classical surrogate models for quantum systems and investigate their limitations. Like a chatbot is not human, these surrogate models are not quantum, but they could be good enough for several applications. These theoretical ideas will be developed in close collaboration with experiments.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA95502510067
Entities
People
- Dries Sels
Organizations
- Air Force Office of Scientific Research
- New York University
- United States Air Force