Quantum imaging attempts to exploit the quantum features of light in order to enhance one or more aspects of classical imaging. Here we focus on two quantum imaging schemes – ghost imaging and interaction-free imaging – and moreover, on their combination. After a brief overview of the subject we report the main result: a laboratory demonstration of a new imaging scheme termed Interaction-Free Ghost Imaging. We then explain its merits for the task of imaging various structured objects. Next, we discuss an outgrowth of this scheme used for the purpose of nonlocal quantum erasure. We conclude by mentioning some related, low-dose schemes (both quantum and quantum-inspired) for X-ray and gammaray sources.
Correlated light (either classical or quantum) can be employed in various ways to improve resolution and measurement sensitivity. In an “interaction-free” measurement, a single photon can be used to reveal the presence of an object placed within one arm of an interferometer without being absorbed by it. This method has previously been applied to imaging. With a technique known as “ghost imaging”, entangled photon pairs are used for detecting an opaque object with significantly improved signal-to-noise ratio while preventing over-illumination. Here, we integrate these two methods to obtain a new imaging technique which we term “interaction-free ghost-imaging” that possesses the benefits of both techniques. While improving the image quality of conventional ghost-imaging, this new technique is also sensitive to phase and polarization changes in the photons introduced by a structured object. Furthermore, thanks to the “interaction-free” nature of this new technique, it is possible to reduce the number of photons required to produce a clear image of the object (which could be otherwise damaged by the photons) making this technique superior for probing light-sensitive materials and eventually biological tissues. If time allows, I will discuss some follow-up works involving partial measurements and remote erasure/completion of images. The latter techniques can help to suppress various types of noise during the imaging process.
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