Moiré superlattices, structures that arise when two layers of two-dimensional (2D) materials are overlaid with a small twist angle, have been the focus of numerous physics studies. This is because they have recently been found to host novel fascinating unobserved physical phenomena and exotic phases of matter.

A method developed at the University of Bonn could have potential applications for tap-proof communication.

A research team led by Prof. YANG Kai at the Institute of Physics (IOP) of the Chinese Academy of Sciences, in collaboration with Prof. LADO Jose from Aalto University, has developed an important bottom-up approach to simulate quantum many-body topological phases at the atomic scale.

Researchers from the National University of Singapore (NUS) have successfully simulated higher-order topological (HOT) lattices with unprecedented accuracy using digital quantum computers. These complex lattice structures can help us understand advanced quantum materials with robust quantum states that are highly sought after in various technological applications.

Cornell University researchers have demonstrated that acoustic sound waves can be used to control the motion of an electron as it orbits a lattice defect in a diamond, a technique that can potentially improve the sensitivity of quantum sensors and be used in other quantum devices.

A research team led by Prof. ZENG Changgan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), collaborated with Prof. SHENG Junyuan from Wuhan University and Pro. Francisco Guinea from IMDEA Nanociencia in Spain, has introduced a novel method for selectively tuning electronic bands in graphene.

A research group led by scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory has uncovered details about the formation and behavior of mobile, microscopic, particle-like objects called “excitons” in a class of materials known as van der Waals magnets.

The xQlave® family of Post-Quantum Cryptographic IP Cores from Xiphera has followed the standardisation process from day one, and with the final standards from NIST, Xiphera has already initiated the corresponding update to the IP cores in the family – ML-KEM (Kyber) for key encapsulation mechanism and ML-DSA (Dilithium) for digital signatures – according to the final versions of the standards.

The US National Institute of Standards and Technology has released Federal Information Processing Standards (FIPS) publications for three quantum-resistant cryptographic algorithms.

Now, Lingxiao Wang of the RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) and colleagues in the United Kingdom and Germany have shown that one such approach, known as stochastic quantization, corresponds to another statistical technique used in deep learning called generative diffusion.