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.