An Optimized Qubit for the Next Generation of Quantum Information Processing
Abstract
While progress continues toward increasingly sophisticated and larger-scale trapped ion quantum information processing (QIP), the substantial difficulty of working with the available trapped ion species is becoming more apparent. These ions suffer from one or (typically) more of the following atomic-species-specific impediments to scaling up the fidelity and system size: qubit initialization that is either poor-quality or too slow, qubit readout that is either poor-quality or too slow, coherence times during operation that are too short, dark states whose repumping is too slow, and a lack of high-quality photonics hardware at operational wavelengths. We propose to build upon our recent breakthough in trapping and cooling the synthetic radioisotope 133Ba+ to demonstrate that working with this species will not only dramatically simplify the trapped ion quantum information processor, but will enable progress through its suite of robust hyperfine and optical qubits that couple to visible, fiber-friendly light. We will begin by improving our loading methods to allow working with this species without cumbersome overhead associated with its radioactivity. We will demonstrate a complete set of QIP tasks using a clock-state qubit defined on an optical transition (an "optical-frequency qubit"), including a two-qubit entangling gate. This effort will be centered on a 1762 nm laser system we will build in successively-narrower-linewidth stages, demonstrating increasingly precise operations as the laser linewidth continues to improve. We will demonstrate state preparation and state detection using the laser-cooling lasers, and a complete set of QIP gates on the optical-frequency qubit using the narrow-linewidth laser. Upon completion of this program, the attractive features of this wholly unique qubit host will be easily accessible to the rest of the community to continue progress in trapped ion quantum information processing.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1810097
Entities
People
- Wesley C Campbell
Organizations
- Army Contracting Command
- National Security Agency
- University of California, Los Angeles