When photons are used as quantum information carriers for data transmission, it is often
Researchers at Louisiana State University (LSU) have used machine learning to correct information distortion in quantum systems made of photons. Published inAdvanced Quantum Technologies the work has demonstrated that the methodsmachine learning using self-learning and self-developing functions of artificial neural networks will help correct distorted information. The new result is superior to traditional protocols that rely on conventional adaptive optics.
“We're still in fairly early stages.understanding that machine learning methods can play a role in quantum computer science, explains female Dr. Sarah Gamble, program manager at the US Army Research Office (Army Research Laboratory). "The team's result is an exciting step forward in developing that understanding."
For this study, the team used a type of neural network to correct distorted spatial light modes at a single-photon level.
“Random phase distortion is one of the mostbig challenges in using spatial light modes in a wide range of quantum technologies such as quantum communication, quantum cryptography and quantum sensing, ”emphasized Narayan Bhusal, Ph.D. student at LSU. “Our method is extremely efficient and time-saving compared to traditional methods. This is an exciting event for the future of quantum technology in free space. "
Army funded researchersdemonstrate a machine learning approach that corrects the quantum distortion of information in systems composed of photons, improving the prospects for deploying quantum sensing and quantum communication technologies on the battlefield.
Credit: LSU
According to the research team, this smartQuantum technology demonstrates the ability to encode multiple bits of information into a single photon in realistic communication protocols prone to atmospheric turbulence.
“Our technology is of great importance foroptical communication and quantum cryptography - concludes Omar Maganya Loaisa, associate professor of physics at LSU. "We are currently exploring ways to implement our machine learning framework as part of the Louisiana Optical Network Initiative to make it smarter, more secure and more quantum."
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Fluctuation - any random deviationof any value. In quantum mechanics, the deviation from the mean value of a random variable characterizing a system of a large number of chaotically interacting particles; such deviations are caused by thermal motion of particles or quantum mechanical effects.
Adaptive optics is a branch of optics that studies methods of eliminating irregular distortions arising from the propagation of light in an inhomogeneous medium using controlled optical elements.