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Many physicists and engineers have recently been trying to demonstrate the potential of quantum computers for tackling some problems that are particularly demanding and are difficult to solve for classical computers. A task that has been found to be challenging for both quantum and classical computers is finding the ground state (i.e., lowest possible energy state) of systems with multiple interacting quantum particles, called quantum many-body systems.

When one of these systems is placed in a thermal bath (i.e., an environment with a fixed temperature that interacts with the systems), it is known to cool down without always reaching its . In some instances, a can get trapped at a so-called local minimum; a state in which its energy is lower than other neighboring states but not at the lowest possible level.

Researchers at California Institute of Technology and the AWS Center for Quantum Computing recently showed that while finding the local minimum for a system is difficult for classical computers, it could be far easier for quantum computers.

On the weekend Elon Musk provided a live demonstration of Neuralink’s technology using pigs with surgically implanted brain monitoring devices. The Australian Society for Computers & Law invited Dr Michelle Sharpe (Victorian Barrister) and Dr Allan McCay (Lecturer and Author on Neurotechnology and the law) to explore the legal and ethical implications of technology that interfaces between the human brain and computer devices.

Are you curious about the future of neurotechnology, learn more about brain implants and brain computer interfaces, commonly referred to as BCI’s?

We will look at that as well as the potential of neurotechnology and its implications for society? In this video, we’ll explore the ethical and societal implications of neurotechnology, from personal identity to privacy and security. We will also look at how neurorights can help protect us now as well as into the future. Join us on this journey to understand the complex ethical considerations that come with advances in neuroscience!

Vertical columns How the Brain Maps Jaw Movements: A Hidden Architecture of Motion.

Our brains contain intricate maps that guide every voluntary movement we make, from reaching out to grab a cup to the delicate motions involved in speaking or chewing. But how exactly are these maps organized, and what role do different types of brain cells play in shaping them?

A new study dives deep into the orofacial motor maps—the brain’s blueprint for controlling jaw movements—revealing a surprising level of organization. Researchers used optogenetics, a technique that activates specific neurons with light, to map out how different classes of excitatory neurons contribute to jaw motion in mice. What they found was remarkable: rather than a single unified map, the motor cortex is divided into distinct, genetically defined modules, each governing jaw movement from different brain regions, including sensory, motor, and premotor areas.

These modules don’t act in isolation. When one was stimulated, activity rippled across the brain, converging in the primary motor cortex, the region that directly controls movement. What’s more, when the mice learned new motor skills—such as refining their licking motion—some of these modules expanded, adapting to support the learned behavior.

This research suggests that voluntary movement isn’t just dictated by a single command center. Instead, a network of specialized cell groups collaborates across different parts of the brain, dynamically adjusting as we learn new motor skills. Understanding this fine-tuned motor map could have implications for treating movement disorders or even advancing brain-computer interfaces in the future.


Scientists have identified previously unknown neural modules in the brain that control movement and adapt during skill learning. Their findings challenge long-held ideas about how the brain organizes movement.

What impacts have climate change mitigation strategies had on the ozone layer? This is what a recent study published in Nature hopes to address as a team of researchers led by the Massachusetts Institute of Technology (MIT) investigated the rate of Antarctic ozone recovery due to a reduction in human-caused ozone-depleting substances (ODSs). This study has the potential to help researchers, climate scientists, legislators, and the public better understand the benefits of climate change mitigation strategies on healing the environment for both the short and long term.

For the study, the researchers used a combination of satellite imagery data and a series of computer models to ascertain the extent of the Antarctic ozone recovery based on seasons and altitude between 2005 and now. The team conducted various models to identify a pattern in Antarctic ozone recovery, which they call a “fingerprint”. After comparing this to the satellite data, the team ascertained that the Antarctic ozone has been healing due to decreased levels of ODSs.

“After 15 years of observational records, we see this signal to noise with 95 percent confidence, suggesting there’s only a very small chance that the observed pattern similarity can be explained by variability noise,” said Peidong Wang, who is a PhD student in MIT’s Department of Earth, Atmospheric and Planetary Sciences and lead author of the study. “This gives us confidence in the fingerprint. It also gives us confidence that we can solve environmental problems. What we can learn from ozone studies is how different countries can swiftly follow these treaties to decrease emissions.”

A collaboration of researchers in Austria and China has built a universal inverse-design magnonic device that can efficiently produce new electronic components based solely on a definition of the desired performance, and do the job in minutes or hours. They published the result in Nature Electronics.

Designing an electronic component usually requires extensive manual design and simulation to achieve a desired functionality. Inverse design eliminates these steps. It is a two-step process: First, the developers divide a design area into an array of smaller, programmable elements. Then, they deploy iterative feedback-loop optimization to tune these elements to achieve a predefined functionality.

This new device manipulates magnons, the quasiparticle quanta of magnetic spin waves. There have been magnonic devices and inverse-design devices, but this is the first universal magnonic inverse design device. Hypothetically, this kind of device can duplicate the performance of anything from a diode to a neuromorphic circuit.

In a new development that could help redefine the future of technology, a team of physicists has uncovered a fundamental insight into the upper limit of superconducting temperature.

This research, accepted for publication in the Journal of Physics: Condensed Matter, suggests that room-temperature —long considered the “holy grail” of condensed matter physics—may indeed be possible within the laws of our universe.

Superconductors, materials that can conduct electricity without resistance, have the potential to revolutionize energy transmission, , and quantum computing. However, until now, they have only functioned at , making them impractical for widespread use. The race to find a superconductor that works at ambient conditions has been one of the most intense and elusive pursuits in modern science.

UC Santa Barbara researchers are working to move cold atom quantum experiments and applications from the laboratory tabletop to chip-based systems, opening new possibilities for sensing, precision timekeeping, quantum computing and fundamental science measurements.

“We’re at the tipping point,” said electrical and computer engineering professor Daniel Blumenthal.

In an invited article that was also selected for the cover of Optica Quantum, Blumenthal, along with graduate student researcher Andrei Isichenko and postdoctoral researcher Nitesh Chauhan, lays out the latest developments and future directions for trapping and cooling the atoms that are fundamental to these experiments—and that will bring them to devices that fit in the palm of your hand.

Recently, a research team found a new way to control the magnetic reversal in a special material called Co3Sn2S2, a Weyl semimetal. The team was led by Prof. Qu Zhe from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, in collaboration with Prof. Liu Enke from the Institute of Physics of the Chinese Academy of Sciences.

“This discovery could help switch the magnetization of devices that rely on ,” said Prof. Qu, “such as hard drives and spin-based technologies.”

The results were published in Materials Today Physics.