Thanks to a first in physics, Nord Quantique has demonstrated "Multimode Encoding" for quantum computers using Tesseract code. This allows for increased error detection, with strong quantum error correction, and will lead to further error correction gains. This means the company will deliver quantum computers which are powerful, yet much smaller and consume a fraction of the energy, making them cost effective to operate and compact enough to install in a data center. Specifics regarding energy savings and emissions is available upon request from Nord Quantique's media contact.

A new study in iScience integrated mathematical modeling with advanced imaging to discover that the physical shape of the fruit fly egg chamber, combined with chemical signals, significantly influences how cells move. Cell migration is critical in wound healing, immune responses, and cancer metastasis, so the work has potential to advance a range of medical treatments. To the authors’ knowledge, this is the first study that actively considers the role of both chemical and structural signals in cell migration.

West Virginia University researchers are changing how college mathematics is taught by evaluating and sharing a model for problem-solving that supports what students learn in other courses like business or biology.

"Humans really are seasonal, even though we might not want to admit that in our modern context," said study author Ruby Kim, U-M postdoctoral assistant professor of mathematics. "Day length, the amount of sunlight we get, it really influences our physiology."

A joint team of researchers led by scientists at King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has reported the fastest quantum random number generator (QRNG) to date based on international benchmarks. The QRNG, which passed the required randomness tests of the National Institute of Standards and Technology, could produce random numbers at a rate nearly a thousand times faster than other QRNG.  

Astrophysicist Kyu-Hyun Chae at Sejong University (Seoul, South Korea) has developed a new method of measuring gravity with all three components of the velocities (3D velocities) of  wide binary stars, as a major improvement over existing statistical methods relying on sky-projected 2D velocities. The new method based on the Bayes theorem derives directly the probability distribution of a gravity parameter (a parameter that measures the extent to which the data departs from standard gravitational dynamics) through the Markov Chain Monte Carlo simulation of the relative 3D velocity between the stars in a binary. When the method is applied to a sample of about 300 highest-quality wide binaries selected from European Space Agency's Gaia Data Release 3, the results indicate a 4.2σ discrepancy with standard gravity at acceleration lower than about 1 nanometer per second squared. Much improved results are expected in the near future with upcoming data of precise velocities of stars in the line-of-sight (radial) direction.