Summary
Arrays of orbital angular momentum (OAM) states of light are a new form of structured light so far relatively unexplored in quantum information science. Unlike spin angular momentum of light, which is related to light’s polarization and covers two dimensions, OAM states, sometimes described as ‘donut beams’ due to the shape of the field intensity distribution in their cross section, are in principle an infinite dimensional system and can be used to carry much more information per photon. In this project, we generate arrays of entangled orbital angular momentum beams and explore the utility of the spatially entangled photons in quantum communication protocols, such as remote state preparation. In collaboration with Dmitry Pushin, David Cory, and Thomas Jennewein, we study the propagation of entangled OAM arrays and their self-imaging capabilities known as the Talbot Effect, which hold promise for developing a new method to measure OAM. As we learn to control the spatial patterns of these light beams we expect they may find application in sensing of periodic optical structures in materials.
Related Content
Spin Generation and High-Frequency Detection via the Quantum Nonlinear Anomalous Hall Effect in Weyl Semimetals
In magnetic conductors, the passage of current yields an electric field in the transverse direction even without an external magnetic field – this is known as the anomalous Hall effect (AHE). This effect can act as a convenient probe of spin ordering, magnetic textures, spin-orbit coupling, and band topology in solids, and can be further […]
April 19, 2023
Hybrid Quantum Repeater based on Atomic Quantum Memories and Telecom Wavelength Entangled Photon-Pairs Generated from Semiconductor Nanowires
Summary Losses in physical channels, such as optical fibres, limit existing quantum communication systems to modest distance ranges. Since amplification of quantum signals is fundamentally not possible, we look to extend the range and functionality of these quantum channels by adding quantum memory nodes that can daisy-chain multiple lengths of quantum channels through entanglement […]
October 29, 2018
Building Blocks for Quantum Neuromorphic Computing: Superconducting Quantum Memcapacitors
Quantum neuromorphic computing (QNC) is a novel method that combines quantum computing with brain-inspired neuromorphic computing. Neuromorphic computing performs computations using a complex ensemble of artificial neurons and synapses (i.e., electrical circuits) to emulate the human brain. QNC may lead to a quantum advantage by realizing these components with quantum memory elements, or memelements, which […]
June 12, 2023