A hybrid semiconductor-soft matter device as a route to a scalable, self-assembled spin register for optical quantum error correction
Abstract
The proposed research will investigate a novel quantum information processing platform. This interdisciplinary project will consist of several parallel paths toward demonstrating a hybrid semiconductor-liquid crystal optical spin qubit network and will leverage the combined resources at UMBC and USNA. The major parts of this project are listed below along with the primary research team: 1. Spin qubits in nanodiamonds (Brereton USNA Physics) 2. Liquid crystal mediated radiative coupling of nanodiamonds NV spins (Brereton, Basu USNA Physics) 3. Tapered optical fiber coupling to nanodiamond NV spin qubits (Pittman, Franson UMBC Physics) 4. Secure network communication simulations with Heisenberg spin model (Roy UMBC Information Systems) Objective: The PI will significantly advance the understanding of a novel quantum information processing platform. Approach: This proposal will advance the understanding of a novel quantum information processing platform. By harnessing the electronic anisotropy of a nematic liquid crystal, a radiatively coupled linear chain of single defect spins in nanodiamond can be selfassembled. This chain of single spins is optically addressable via free space as well as through tapered optical fibers. By radiatively coupling these spins via near-field effects, a coupled spin register can be formed, with the spin state of adjacent nanodiamond defect spins being dependent on the state of the other spins in the chain. This can lead to the implementation of quantum network error correction algorithms, enabling more robust quantum network communication. Overall Merit and ONR Mission/Relevance: This project aims to significantly advance the understanding of a novel quantum information processing platform. This project pave a way toward future quantum computing, which could be fundamental to future Navy information processing platforms.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512229
Entities
People
- Nirmalya Roy
Organizations
- Office of Naval Research
- United States Navy
- University of Maryland, Baltimore