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Quantum teleportation of the state of a qubit encoded in the polarization state is demonstrated from a telecom-wavelength photon to a solid-state quantum memory via 24.8 km of optical fibre. It is the longest distance ever reached in a teleportation experiment involving a quantum memory. Quantum teleportation1 is a cornerstone of quantum information science due to its essential role in important tasks such as the long-distance transmission of quantum information using quantum repeaters2,3. This requires the efficient distribution of entanglement between remote nodes of a network4. Here, we demonstrate quantum teleportation of the polarization state of a telecom-wavelength photon onto the state of a solid-state quantum memory. Entanglement is established between a rare-earth-ion-doped crystal storing a single photon that is polarization-entangled with a flying telecom-wavelength photon5,6. The latter is jointly measured with another flying polarization qubit to be teleported, which heralds the teleportation. The fidelity of the qubit retrieved from the memory is shown to be greater than the maximum fidelity achievable without entanglement, even when the combined distances travelled by the two flying qubits is 25 km of standard optical fibre. Our results demonstrate the possibility of long-distance quantum networks with solid-state resources.
Bundle of 360 unique Instagram story highlight cover icons Containing 45 hand drawn illustrations in 8 different colors Our unique Instagram story highlight covers are made for aesthetic and artistic Instagrams for influencers, photography, pets, beauty, travel, and small businesses. Organize your highlights section using our hand drawn covers to brand your account and leave a lasting impression on your followers. I hope you enjoy my art and designs! BUNDLE INCLUDES 360 ready-to-use Instagram story highlight cover icons 1680 x 2880 pixels (Standard size) 300 DPI high-resolution images 2 ZIP files containing all icons in the bundle 1 JPEG instruction file INSTRUCTIONS FOR DOWNLOAD AND USE All items can be instantly downloaded once payment is processed. Log in to Etsy on your computer and choose [Your account > Purchases and Reviews] Download the ZIP files Unzip the files on your computer Send the unzipped JPEG files to your phone, save the files on your camera roll Go to Instagram Select the highlight of your choice Click [Edit Highlight > Edit Cover] Choose the icon from your camera roll Click [Done] to save RETURNS Returns or cancellations cannot be provided as this is a digital product. However, please do not hesitate to contact me if there are any problems with your downloads. NOTES Our icons and covers are not editable. This product is a digital product - The downloads will be available once the payment is completed, and no physical products will be shipped. Products are meant for personal use. Do not redistribute or resell our products.
The effectiveness, robustness, and flexibility of memory and learning constitute the very essence of human natural intelligence, cognition, and consciousness. However, currently accepted views on these subjects have, to date, been put forth without any basis on a true physical theory of how the brain communicates internally via its electrical signals. This lack of a solid theoretical framework has implications not only for our understanding of how the brain works, but also for wide range of computational models developed from the standard orthodox view of brain neuronal organization and brain network derived functioning based on the Hodgkin–Huxley ad-hoc circuit analogies that have produced a multitude of Artificial, Recurrent, Convolution, Spiking, etc., Neural Networks (ARCSe NNs) that have in turn led to the standard algorithms that form the basis of artificial intelligence (AI) and machine learning (ML) methods. Our hypothesis, based upon our recently developed physical model of weakly evanescent brain wave propagation (WETCOW) is that, contrary to the current orthodox model that brain neurons just integrate and fire under accompaniment of slow leaking, they can instead perform much more sophisticated tasks of efficient coherent synchronization/desynchronization guided by the collective influence of propagating nonlinear near critical brain waves, the waves that currently assumed to be nothing but inconsequential subthreshold noise. In this paper we highlight the learning and memory capabilities of our WETCOW framework and then apply it to the specific application of AI/ML and Neural Networks. We demonstrate that the learning inspired by these critically synchronized brain waves is shallow, yet its timing and accuracy outperforms deep ARCSe counterparts on standard test datasets. These results have implications for both our understanding of brain function and for the wide range of AI/ML applications.
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