Eye diseases such as macular degeneration can have a devastating impact on quality of life. Early detection and treatment are thus crucial for preventing irreversible vision loss. A previous study found that the human eye can detect differences in ‘structured’ light beams. Such light beams are composed of a coherent superposition of differently polarized planar and helical waves. This structured light can be created by coupling polarization and orbital angular momentum to form spin-orbit states with space-varying polarization profiles. The original study determined that a healthy human eye can discriminate between two different spin-orbit states by observing distinct images (i.e., the number of azimuthal fringes) induced by viewing each state. These findings will be expanded to further explore the limits of human perception of structured light. A strong association between an individual’s perception of a structured light beam and the imaging data collected from their eye with the same beam is expected. The possibility of using structured light beams to image ocular structures, including the macular pigment, the cornea, and the retina, will be investigated. Ocular imaging using structured light beams has the potential to detect subtle changes in macular pigment and other ocular structures that occur before macular degeneration progresses to the point of vision loss. Such new sensing tools could enable the early detection and treatment of macular degeneration and reduce the significant societal burden of the disease.
Figure 1. (Left) Representation of a spin-orbit beam composed of a coherent superposition of planar and helical polarized states. (Right) The number of fringes that the eye sees when viewing the spin-orbit beams.
On-Chip Microwave-Optical Quantum Interface
Summary In this project we develop a quantum interface between microwave and optical photons as a key enabling technology of a hybrid quantum network. In such a network, the robust optical photons carry quantum information through optical fibres over long distances, while superconducting microwave circuits protected from thermal photon noise by the low temperature […]
October 29, 2018
Cryo-CMOS to Control and Operate 2D Fault-Tolerant Qubit Network
Summary Large-scale, fault-tolerant quantum computation requires precise and stable control of individual qubits. This project will use complementary metal-oxide-semiconductor (CMOS) technology to provide a cost-effective scalable platform for reliable and high-density control infrastructure for silicon spin qubits. We will use sub-micron CMOS technology to address device and circuit-level challenges and explore the integration of […]
June 14, 2018
Reliably operating noisy quantum computers
Summary The overall goal of the project is to develop practical methods to be able to reliably run useful applications on near-term quantum computers. This requires identifying and overcoming the ubiquitous errors that currently limit quantum computing capabilities. Traditional methods of quantifying errors in quantum computers fail to predict how errors affect the output of […]
January 22, 2020
Engineering and Characterizing Programmable Interaction Graphs in a Trapped Ion Quantum Simulator
Summary Quantum simulators have the potential to bring unprecedented capabilities in areas such as the discovery of new materials and drugs. Engineering precise and programmable interaction graphs between qubits or spins forms the backbone of simulator applications. The trapped ion system is unique in that the interaction graph between qubits can be programmed, in […]
July 24, 2018