Synergistic tools for achieving high quality quantum control: A basic topological principle and general experimental strategy
Abstract
High performance control of quantum mechanical systems depends critically on new mathematical and experimental enabling advances. Two key problems of paramount importance for quantum information applications stand out: (a) the establishment of the topological properties of the underlying control landscape and (b) the simultaneous utilization of the best features of computational and experimental capabilities acting in concert in the laboratory. These two factors, working synergistically, determine the realizable optimal controls and the efficiency of finding them. The proposed research will address the mission of the Department of Defence (DoD) for harnessing fragile quantum phenomena, which are inherently sensitive to interactions with the environment. Based on recent theoretical [1,2] and experimental [3] achievements, we will focus on the research efforts (a) and (b) for high fidelity implementations of quantum logic gates in intrinsically open quantum systems as urgently critical steps to move quantum information science to a significant new level of understanding and performance. The mathematical analysis in (a) aims to establish key Theorems to characterize the control landscape topology thereby determining ÓgoÓ or Óno-goÓ criteria for achieving high fidelity gate implementations in open quantum systems. In the fully integrated laboratory aspects of the research in (b), we aim to develop a new general strategy, which entails drawing together the best capabilities of (I) numerical design coordinated with (II) experimental realizations and system observations, whereby we expect to gain a factor of at least 102-103 in accelerating the discovery of the most effective controls. The planned (a) mathematical and (b) laboratory efforts each represent unique advances, and by working synergistically they aim to have a high impact in advancing the field of quantum information science.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 02, 2019
- Source ID
- W911NF1910382
Entities
People
- Herschel A. Rabitz
Organizations
- Army Contracting Command
- Princeton University
- United States Army