Summary
Realizing highly integrated quantum photonic devices on a chip can enable new opportunities for photonic quantum computation. In this project, we explore heterostructures of stacked two-dimensional (2D) materials, such transition metal dichalcogenides (TMDC) or graphene, combined with optical microcavities as a platform for such devices. 2D materials are extremely thin and flexible, and have emerged as a host for a range of exciting new quantum phenomena, in particular when different 2D materials are stacked together. We plan to address the challenges of stacking more than two layers of 2D materials and of extending the stacking methods to produce wafer-scale structures, as well as the challenges of making this platform compatible by with CMOS infrastructure for future integration towards large-scale quantum photonic computation and networks. We will achieve our goal through an interdisciplinary effort involving deep physical and chemical knowledge, state-of-the-art nanofabrication processing techniques and facilities, extensive material and device characterization measurements, and theoretical investigations.
Figure 1. The calculated absorption spectra of a cavity containing a heterostructure made of multi-colour emitting layers. The three anti-crossings are a manifestation of strongly-coupled polariton states.
Related Content
Identifying the Potential of Quantum Dots to Detect and Disrupt Tau Protein Aggregation in Alzheimer’s Disease
Specific tests for Alzheimer’s disease (AD) diagnosis are currently unavailable, despite AD being the leading cause of dementia. One hallmark of AD progression is the aggregation of tau proteins into paired helical filaments and neurofibrillary tangles, which is accelerated by the hyperphosphorylation of Tau proteins. However, the mechanism by which the hyperphosphorylated tau accelerates protein […]
March 27, 2023
Hybrid Quantum Materials towards Topological Quantum Computing
Summary 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 […]
December 8, 2018
Topological Properties of Exciton-Polaritons in a Kagome Lattice as a Solid-state Quantum Simulator
Summary In this project, we build a solid-state quantum simulator for engineering a specific Hamiltonian. Quantum simulators are purpose-built devices with little to no need for error correction, thereby making this type of hardware less demanding than universal quantum computers. Our platform consists of exciton-polariton condensates in multiple quantum-wells sandwiched in a semiconductor Bragg […]
December 8, 2018
Applications of Neutron Interferometry and Structured Neutron Beams
Summary Neutrons are a powerful probe of matter and physics due to their Angstrom size wavelengths, electric neutrality and relatively large mass. In this project, we develop quantum sensors that exploit these attributes to increases the precision of measurements of fundamental forces and materials structure. With David Cory, Alexander Cronin of the University of Arizona, […]
July 31, 2018