Quantum Simulation, Computation, and Metrology with Ultracold Atoms
Abstract
Quantum technologies are emerging as a major research frontier that could potentially revolutionize computing, communication, security, measurement, and sensing for modern science and engineering by utilizing unique capabilities of quantum mechanics such as quantum superposition and entanglement. Ultracold atoms play a crucial role for the development and application of many quantum technologies because of their unprecedented level of precise control of experiments and disorder-free environment. The objective of this proposal is to foster the development of quantum technologies with ultracold atoms by envisioning new device concepts, developing controlling tools, and designing quantum matter with desired properties. Specific research projects include: i) Envision a new category of quantum devices named spin-tensor-tronics that utilize large spin degrees of freedom of atoms and study their magnetism and transport properties; ii) Develop tools for individual control of spins in optical lattices for alkaline-earth atoms and explore their applications in designing new quantum matter; iii) Deterministically prepare a single atom on the ground state of an optical trap and explore its applications in precision measurement and quantum sensor. Technical approaches include analytical treatments and numerical simulations of models constructed to capture effects in experiments. Specific methods include numerical diagonalization, exact algorithms for simulating quantum phases and dynamics in optical lattices, mean field methods, etc. The proposed schemes, models and simulations will guide experiments towards the realization of important quantum devices and establish multiple quantum platforms for technological development. Overall, the projects will enhance Department of Defense long-term goals and capabilities for research on atomic and quantum information physics, which are important for the advancement of fundamental science as well as technological applications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010220
Entities
People
- Chuanwei Zhang
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Texas at Dallas