In a recent paper published in the Journal of Physics Communications, Emeritus Professor in Applied Physics at the University of Technology Sydney (UTS) Geoff Smith puts forward a new “quantum thermal physics paradigm” to better understand the impact of global warming on oceans and thus on climate and weather.

The close relationship between AI and high-performance scientific computing can be seen in the fact that both the 2024 Nobel Prizes in Physics and Chemistry were awarded to scientists for their AI-related research contributions in their respective fields of study. KAIST researchers succeeded in dramatically reducing the computation time for highly sophisticated quantum mechanical computer simulations by predicting atomic-level chemical bonding information distributed in 3D space using a novel AI approach.

Some phenomena that occur in materials can be challenging to mimic using quantum computers, leaving gaps in the problems that scientists have explored with quantum hardware. To fill one of these gaps, MIT researchers developed a technique to generate synthetic electromagnetic fields on superconducting quantum processors. The team demonstrated the technique on a processor comprising 16 qubits.

The Luxembourg Institute of Science and Technology (LIST) and Intel Corporation have joined forces in a research project, which aims to transform the field of ultra-low-power electronics (or electronics with ultra-low power consumption levels) with the long-term goal of achieving a 90% reduction in power consumption. To achieve this, the project, entitled SWITCHON, will study the use of ferroelectric materials in next-generation electronic devices.

A paper recently published in Nature Communications from UChicago PME’s High Lab and Argonne National Laboratory has solved a major hurdle facing researchers working with diamond by creating a novel way of bonding diamonds directly to materials that integrate easily with either quantum or conventional electronics.

A research team led by the Department of Energy’s Oak Ridge National Laboratory has devised a unique method to observe changes in materials at the atomic level. The technique opens new avenues for understanding and developing advanced materials for quantum computing and electronics.

Researchers from Tohoku University and the Massachusetts Institute of Technology (MIT) have unveiled a new AI tool for high-quality optical spectra with the same accuracy as quantum simulations, but working a million times faster, potentially accelerating the development of photovoltaic and quantum materials.

Building on six successful years of quantum collaboration, the Max Planck–New York Center on Non-Equilibrium Quantum Phenomena will officially continue its work for an additional five years. The renewed funding comes from Columbia University, the Flatiron Institute, the MPSD and the Max Planck Institute for Polymer Research in Mainz, Germany. The Center will also expand to include a new partner institution, Cornell University.

At Analytica in Munich, the Stuttgart-based high-tech start-up Q.ANT is showcasing a compact particle sensor for industrial applications that can be used to monitor these parameters in real time. The patented sensor, which is based on quantum technology, offers real added value for numerous sectors: from additive manufacturing, biotechnology, the ceramics industry, the materials and chemical industry to water treatment, medical technology and cosmetics.