Proximity engineered hybrid materials have shown promise for topological quantum information processing. This form of quantum computing provides a stable, error-tolerant approach for building scalable quantum information processors. Topological quantum computing relies on braiding non-Abelian particles, such as Majorana fermions, which do not exist in nature. One can however use materials engineering to create these particles in topological insulators that are proximity coupled to superconductors and magnetic insulators. In this project we synthesize high quality topological insulators and superconductors, couple them together to form a clean interface (“strong proximity”), and use tunneling spectroscopy to identify the presence of Majorana fermions. Once we are able to move the Majorana particles in a controlled fashion, we then braid an array of them and extract topological quantum information. This will provide the first demonstration of non-Abelian statistics on topological insulators and the first realization of topological quantum computing.
Free-space Polarization-selective Microcavity based on Chiral Metasurfaces
Summary Developing a new type of Fabry-Pérot cavity that allows improved control of the atoms’ emission into the cavity mode will result in enhancement of the efficiency and fidelity of quantum state transfer from photons to atoms and back. This in turn can be used to improve the performance of quantum networks and repeaters, as […]
September 19, 2019
Development of Terahertz Polariton Lasers
Theoretical and experimental results show that the polariton lasing mechanism is a promising basis for a compact, efficient source of terahertz radiation.
July 1, 2017
Line-Scanning optical coherence tomography system for in-vivo, non-invasive imaging of the cellular structure and blood perfusion of biological tissue
Summary Optical coherence tomography (OCT) is an optical imaging method that allows for in-vivo, non-invasive imaging of the structure and vasculature of biological tissue. Commercially available, clinical OCT systems utilize point-scanning method to acquire volumetric images over a large surface with typical frame rates of ~ 30 frames/ second. Since living biological tissue is constantly […]
August 27, 2019
Quantum State Tomography with Machine Learning
Summary An important challenge in building a quantum computer is quantifying the level of control obtained in the preparation of a quantum state. The state of a quantum device is characterized from experimental measurements, using a procedure known as tomography. Exact tomography requires a vast amount of computer resources, making it prohibitive for quantum […]
June 6, 2018