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ScienceDaily: Computers & Math News |
| New photonic chip for isolating light may be key to miniaturizing quantum devices Posted: 21 Oct 2021 09:11 AM PDT Light plays a critical role in enabling 21st century quantum information applications. Limited by size, engineers need to miniaturize quantum devices, which requires re-thinking certain components for harnessing light. Researchers have designed a simple, compact photonic circuit that uses sound waves to rein in light. The team's measurements show that their approach to isolation currently outperforms all previous on-chip alternatives and is optimized for compatibility with atom-based sensors. |
| Posted: 21 Oct 2021 09:10 AM PDT History's greatest couples rely on communication to make them so strong their power cannot be denied. But that's not just true for people, it's also true for lasers. According to new research from the USC Viterbi School of Engineering, adding two lasers together as a sort of optical 'it couple' promises to make wireless communications faster and more secure than ever before. |
| Scientists show how AI may spot unseen signs of heart failure Posted: 18 Oct 2021 02:22 PM PDT A special artificial intelligence (AI)-based computer algorithm was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure. |
| Experiments reveal formation of a new state of matter-electron quadruplets Posted: 18 Oct 2021 08:25 AM PDT The central principle of superconductivity is that electrons form pairs. But can they also condense into foursomes? Recent findings have suggested they can, and a physicist has published experimental evidence of this quadrupling effect and details of the mechanism by which this state of matter occurs. |
| Cutting through the noise: AI enables high-fidelity quantum computing Posted: 18 Oct 2021 07:00 AM PDT SANKEN researchers achieved over 95% accuracy when reading the output spin states of qubits by implementing machine learning. By using deep neural networks, the team was able to overcome noise in both simulated and real data sets from quantum dots. This work may lead to a proliferation of real-world quantum computers. |
| AI predicts extensive material properties to break down a previously insurmountable wall Posted: 15 Oct 2021 03:42 PM PDT Researchers have developed a machine learning model to predict never-before-determined material properties from energy loss near-edge structure (ELNES) and X-ray near-edge structure (XANES) spectra. The spectra of 22,155 organic molecules were input into the neural network model and allowed the first correct prediction of both intensive and extensive material properties. It is hoped that the model will allow high-throughput screening to develop materials across numerous applications. |
| Using quantum Parrondo’s random walks for encryption Posted: 15 Oct 2021 06:48 AM PDT SUTD has set out to apply concepts from quantum Parrondo's paradox in search of a working protocol for semiclassical encryption. |
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