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Examples of quantum imaging are quantum ghost imaging, [3] quantum lithography, [4] imaging with undetected photons, [5] sub-shot-noise imaging, [6] [7] and quantum sensing. Quantum imaging may someday be useful for storing patterns of data in quantum computers and transmitting large amounts of highly secure encrypted information.
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Quantum Random Number Generator IIT Madras: Bangalore, IND, USA QRCrypto SA 2019 Communication, applied computing Post-quantum symmetric cryptography for use within [75] and outside of Quantum key distribution networks, including 5G, IPTV [76] and PKI. [77] Quantum-resistance testing of cryptography in laboratory environments.
Quantum image processing (QIMP) is using quantum computing or quantum information processing to create and work with quantum images. [1] [2]Due to some of the properties inherent to quantum computation, notably entanglement and parallelism, it is hoped that QIMP technologies will offer capabilities and performances that surpass their traditional equivalents, in terms of computing speed ...
Ghost imaging (also called "coincidence imaging", "two-photon imaging" or "correlated-photon imaging") is a technique that produces an image of an object by combining information from two light detectors: a conventional, multi-pixel detector that does not view the object, and a single-pixel (bucket) detector that does view the object. [1]
InVisage Technologies was founded by the company's current CTO Ted Sargent, a professor from the University of Toronto. [1] While developing transmitters and receivers in his lab at U of T, he discovered an especially sensitive receiver, which formed the basis of InVisage's QuantumFilm technology. [2]
Quantum lithography was invented at Jonathan P. Dowling's group at JPL, [1] and has been studied by a number of groups. [2] Of particular importance, quantum lithography can beat the classical Rayleigh criterion for the diffraction limit. Classical photolithography has an optical imaging resolution that is limited by the wavelength of light ...