In addressing the challenges encountered during the design of multi-pass cell (MPC) with dense spot pattern, the research team from Harbin Institute of Technology (HIT) has, for the first time, integrated the parallel non-dominated sorting genetic algorithm II (PNSGA-II) with the mathematical model of MPCs. This innovation has enabled the development of a high-performance multi-pass cell that simultaneously achieves long optical path length and high ratio of optical path length to volume — two key performance metrics that are often mutually restrictive.

Furthermore, the team constructed a light-induced thermoelectric spectroscopy (LITES) sensing system by incorporating a self-designed, high-performance round-head quartz tuning fork (QTF). Leveraging this integrated system, they successfully realized ultra-high sensitivity trace gas detection, with a minimum detection limit (MDL) reaching the ppt (10^-12) level.

Quantum researchers have deployed a new algorithm to manage noise in qubits in real time. The method can be applied to a wide range of different qubits, even in large numbers. 

Noise is the "ghost in the machine" in the effort to make quantum devices work. Certain quantum devices use qubits—the central component of any quantum processor—and they are extremely sensitive to even small disturbances in their environment.

A collaboration between researchers from the Niels Bohr Institute, MIT, NTNU, and Leiden University has now resulted in a method to effectively manage the noise. The result has been published in PRX Quantum.

Climate change is causing the oceans to become notably more acidic. This could become a problem for sharks, as a team of biologists headed by Heinrich Heine University Düsseldorf (HHU) has discovered. In the scientific journal Frontiers in Marine Science, the research team describes that a more acidic environment weakens the teeth of sharks, causing them to break more easily, which in turn causes the predators to lose their bite.