In a paper published earlier this month in Physical Review Letters, a team of physicists led by Jonathan Richardson of the University of California, Riverside, showcases how new optical technology can extend the detection range of gravitational-wave observatories such as the Laser Interferometer Gravitational-Wave Observatory, or LIGO, and pave the way for future observatories. 

A new test developed at the University of Illinois Urbana-Champaign can predict the performance of a new type of cementitious construction material in five minutes — a significant improvement over the current industry standard method, which takes seven or more days to complete. This development is poised to advance the use of next-generation resources called supplementary cementitious materials — or SCMs — by speeding up the quality-check process before leaving the production floor.

A unique dataset of Type Ia Supernovae being released today could change how cosmologists measure the expansion history of the Universe.

Recently, a research team led by Prof. Chen Zhou from Peking University, Prof. Dong E. Liu from Tsinghua University, and Prof. Manqi Ruan from the Institute of High Energy Physics made a significant breakthrough. Published in Science Bulletin, their study, for the first time, applies QAOA to jet clustering.

Hybrid entanglement is an essential quantum resource of hybrid quantum information processing, which combines the advantages of discrete-variable (DV) and continuous-variable (CV) quantum information processing and overcomes their disadvantages. In quantum information processing, a feasible approach for enhancing the ability of quantum information processing is increasing the degree of freedom carried by the entangled state. Recently, hybrid CV-DV entanglement carrying orbital angular momentum (OAM), which involves three degrees of freedom, including polarization, cat states, and OAM, is presented. This work extends the degree of freedom for hybrid entanglement, which provides a new quantum resource for hybrid quantum information processing.

A research team led by Professor JIANG Changlong from the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has successfully developed an innovative multi-scenario real-time fluorescence detection technology to tackle this problem. The team designed and fabricated a sensor by embedding upconversion optical probes into three-dimensional porous hydrogels. This sensor, integrated with the color recognition functionality of a smartphone, allows rapid and on-site detection of methylglyoxal. 

We are using up nickel at an alarming rate to make stainless steel. Thankfully, researchers have found a way to cut nickel out of the equation, without compromising on strength.