Researchers at Nanjing University have experimentally demonstrated a quantum communication protocol that enables three users to establish a shared secure key with substantially improved performance. By combining more efficient key generation with operation without phase locking, the work advances a key building block for future multiuser quantum networks.

Graph neural networks have been used in various graph-related tasks, where they have achieved excellent performance. However, incomplete graph structures, commonly found in real-life scenarios, can severely degrade performance. In a new study, researchers develop a novel graph completion network that reconstructs missing features and structure simultaneously while also maintaining performance with extremely weak supervision, which is difficult to achieve with conventional models.

Researchers have demonstrated a scalable 3.2 Tb/s O-band silicon photonic interconnect architecture designed to address the growing bandwidth demands of artificial intelligence (AI) computing. Published in PhotoniX Synergy, the work combines hybrid wavelength-port multiplexing with adaptive wavelength stabilization to enable high-bandwidth and robust optical I/O, providing a scalable pathway toward terabit-scale silicon photonic interconnects for next-generation AI computing systems.

A new study integrating fossil, distributional and molecular evidence traces the evolutionary history of marmots back to North America and reveals how geological and climatic changes drove their dispersal and diversification. Published in Journal of Systematics and Evolution

Researchers led by Prof. MENG Guowen and Prof. TANG Haibin at the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, have developed self-supported electrodes that improve the conversion rate of carbon dioxide into carbon monoxide and n-propanol.

A research team led by Prof. ZHANG Hongwen at the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, has developed a portable surface-enhanced Raman spectroscopy (SERS) sensor that can rapidly detect trace amounts of sarin and other organophosphorus (OP) nerve agents.

The new sensor uses a specially designed molecular probe to recognize the P–C bond found in OP nerve agents. It can detect sarin in both liquid and gas phases, making it suitable for rapid on-site screening.

A research team led by Prof. LI Hai from Hefei Institutes of Physical Science, Chinese Academy of Sciences, has developed an explainable artificial intelligence (AI) approach to assess the risk of central lymph node metastasis in patients with papillary thyroid carcinoma (PTC) before surgery.

Sugarcane smut, caused by Sporisorium scitamineum, triggers massive sugarcane yield and economic losses across tropical and subtropical farming regions. Researchers reveal that overexpression of the PP2A‑like phosphatase gene Ssppe1 disrupts fungal cell morphology, stress resistance, sexual mating and pathogenicity. This work highlights that the proper levels of phosphatase genes are essential for fungal virulence and provides a promising molecular target for future sugarcane smut control.

A research team led by Prof. WU Zhengyan and Prof. ZHANG Jia at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has developed a nanocarrier that helps protect iron from oxidation and keep it on plant leaves after rainfall.

A research team led by Prof. WANG Hui from Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), in collaboration with Prof. FAN Kelong 's team from the Institute of Biophysics of CAS has developed an iron dual-atom nanozyme with highly efficient catalase-like activity, showing promise for treating rheumatoid arthritis.