Dimension reduction for open quantum systems
Abstract
Major goals of this research project include the following: 1. Machine learning of input-output maps for open quantum systems 2. Structure-preserving input-output model reduction for open quantum systems 3. Exploration of direct methods for dimensional reduction of QSDE models 4. Practical demonstration of hierarchical quantum input-output model reduction These technical objectives are to be pursued in the context of applications in quantum engineering, quantum metrology and quantum information science.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 04, 2018
- Source ID
- W911NF1610086
Entities
People
- Hideo Mabuchi
Organizations
- Army Contracting Command
- Stanford University
- United States Army