Integrated encryption and communication framework achieves record 1 Tb/s secure transmission over 1,200-km optical fiber
Peer-Reviewed Publication
Updates every hour. Last Updated: 12-May-2025 06:10 ET (12-May-2025 10:10 GMT/UTC)
A groundbreaking integrated encryption and communication (IEAC) framework, enabled by end-to-end deep learning, has achieved a record-breaking single-channel secure transmission rate of 1 Terabit per second (Tb/s) over a 1,200-km optical fibre link. Published in National Science Review, this innovation optimizes mutual information for legal users while minimizing leakage to eavesdroppers, offering a scalable solution for high-speed, secure data transmission in the era of big data and AI.
Recently, Professor Peng Xue's team from the Beijing Computational Science Research Center published an article titled "Quantum cooling engine fueled by quantum measurements" in Science Bulletin. The research team employed a linear optical platform to simulate a two-stroke, two-qubit engine. In the experiment, they demonstrated various quantum thermodynamic processes by tuning the energy level spacing of the working substance and adjusting the temperature parameters of the bath. They successfully realized a quantum cooling engine driven by quantum measurements and discovered the influence of entanglement on the energy exchange between the working substance and the measurement apparatus.
An Osaka Metropolitan University-led research team conducted a meta-analysis of the diagnostic capabilities of generative AI in the field of medicine using 83 research papers.
No bowel preparation for colonoscopy achieves optimal efficacy and tolerability. Combining polyethylene glycol plus ascorbic acid with adjuvants has been explored to enhance cleansing efficacy and reduce the required volume. This study aimed to evaluate whether adding 0.5 mg linaclotide improves superior cleansing compared to adding 24 mg senna.
Storm surges—sudden, abnormal rises in sea levels during storms—pose a major threat to low-lying coastal communities. Some of the most extreme sea levels occur during major tropical cyclones, when harsh winds and low atmospheric pressure drive ocean waters higher.
Currently, there is a strong scientific consensus on the long-term changes of mean sea-level rise that is supported by tide gauge observations and data-informed modeling. However, estimates of extreme storm surge trends in these events have been inconsistent and largely constrained to studies analyzing tide gauge data from a limited number of locations. These limitations hinder scientists’ ability to evaluate how extreme storm surge events may respond to climate variability and change, thereby complicating the development of cost-effective strategies for coastal flood adaptation. In a recent study(Link is external) conducted by the University of Central Florida, Princeton, Rutgers and four other research centers, researchers analyzed tide gauge data from across the U.S. to better identify trends in extreme storm surges.