A research team at HZB has developed a clever technique to read quantum spin states in diamonds using electrical signals instead of light. This breakthrough could dramatically simplify quantum sensors and computing hardware.

Diamonds that contain specific optically active defects, known as color centers, can serve as highly sensitive sensors or as qubits for quantum computers, with quantum information stored in their electron spin states. Traditionally, reading these spin states requires optical methods, which are often complex and difficult to implement. Now, researchers at HZB have developed a more streamlined approach: using photovoltage to detect the spin states of individual defects. This method could pave the way for much smaller and more compact quantum sensors.

Harnessing Defects for Spin States.

Researchers in China have achieved a major leap in quantum photonics by generating a massive 60-mode entangled cluster state directly on a chip using optical microresonators.

By leveraging a deterministic, continuous-variable approach and a multiple-laser pump technique, they overcame traditional limitations in scalability. The team confirmed high-quality entanglement using advanced detection methods, paving the way for powerful quantum technologies like chip-based computers, secure communications, and cutting-edge sensors.

Breakthrough in On-Chip Quantum Entanglement.

Consumer electronic devices are made from materials that we have been using for more than 60 years, mainly silicon, germanium and copper. Why have semiconductor electronics become increasingly fast over this time?

I would argue that this is due to miniaturization, or the ability to stack an increasingly large number of transistors in a dense integrated circuit (microchip). Some may argue that we are starting to reach limits in that miniaturization, as thin films approach a thickness of just about 10 nanometers, or even lower.

These nearly two-dimensional (2D) materials could be used to build the next-generation electronics. However, as electronic materials like silicon are miniaturized, they become less energy efficient.

Scientists from Mass General Brigham and Beth Israel Deaconess Medical Center have developed a novel gene editing tool called STITCHR. Unlike traditional CRISPR, STITCHR inserts entire genes at precise locations, minimizing unintended mutations. This gene editing tool simplifies use and offers potential as a one-time treatment for genetic disorders.

The technology uses retrotransposons, naturally occurring “jumping genes” found in all eukaryotic organisms, which can move and integrate into genomes. Using computational screening, the researchers identified and reprogrammed a specific retrotransposon to work with the nickase enzyme from CRISPR, forming the complete STITCHR system that allows a precise, seamless gene insertion into the genome.

STITCHR offers the potential to replace or supplement entire genes, creating a more universal treatment option for various genetic diseases. The research team is now working to improve its efficiency and move it toward clinical use. Their study, published in Nature, highlights how insights from basic cellular biology can drive innovation in genetic medicine and lead to new therapeutic tools.

Huawei’s NEW chip breakthrough is ROCKING the tech world! China’s tech takeover is here, and it’s starting with Huawei’s game-changing chip! From outsmarting sanctions to rivaling Apple and Qualcomm, this is the #HuaweiChip story you NEED to know! Join REVO NOW to uncover how this chip is reshaping the future! Hit play now!

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I’m writing this from a laptop that’s stalling and refusing to switch between tabs because it’s gotten too warm in the early Indian summer. It’s not like I’m running a hectic workload of video and audio editing tools and multiple browsers at once: this old machine just can’t move heat away from the processor and other internals quickly enough.

That results in throttling, or reducing the clock speed at high temperatures, in order to prevent overheating and damage to the internal components. But a new finding from the University of Virginia School of Engineering and Applied Science could make that a thing of the past – with crystals.

When electronic components like the processor in your laptop are working at full tilt, they can get pretty hot. The same can be said for chips in a range of other devices, and even batteries in electric cars. Now, if these components are squashed into tight spaces, you’re going to see heat build up there and take a long time to dissipate.

In a physics first, a team including scientists from the National Institute of Standards and Technology (NIST) has created a way to make beams of neutrons travel in curves. These Airy beams (named for English scientist George Airy), which the team created using a custom-built device, could enhance neutrons’ ability to reveal useful information about materials ranging from pharmaceuticals to perfumes to pesticides — in part because the beams can bend around obstacles.

“We’ve known about these strange, self-steering wave patterns for a while, but until now, no one had ever made them with neutrons,” said NIST’s Michael Huber, one of the paper’s authors. “This opens up a whole new way to control neutron beams, which could help us see inside materials or explore some big questions in physics.”

A paper announcing the findings appears today in Physical Review Letters. The team was led by the University at Buffalo’s Dusan Sarenac, and coauthors from the Institute for Quantum Computing (IQC) at the University of Waterloo in Canada built the custom device that helped create the Airy beam. The team also includes scientists from the University of Maryland, Oak Ridge National Laboratory, Switzerland’s Paul Scherrer Institut, and Germany’s Jülich Center for Neutron Science at Heinz Maier-Leibnitz Zentrum.

Real-world social cognition requires processing and adapting to multiple dynamic information streams. Interpreting neural activity in such ecological conditions remains a key challenge for neuroscience. This study leverages advancements in de-noising techniques and multivariate modeling to extract interpretable EEG signals from pairs of participants (male-male, female-female, and male-female) engaged in spontaneous dyadic dance. Using multivariate temporal response functions (mTRFs), we investigated how music acoustics, self-generated kinematics, other-generated kinematics, and social coordination uniquely contributed to EEG activity. Electromyogram recordings from ocular, face, and neck muscles were also modeled to control for artifacts. The mTRFs effectively disentangled neural signals associated with four processes: (I) auditory tracking of music, (II) control of self-generated movements, (III) visual monitoring of partner movements, and (IV) visual tracking of social coordination. We show that the first three neural signals are driven by event-related potentials: the P50-N100-P200 triggered by acoustic events, the central lateralized movement-related cortical potentials triggered by movement initiation, and the occipital N170 triggered by movement observation. Notably, the (previously unknown) neural marker of social coordination encodes the spatiotemporal alignment between dancers, surpassing the encoding of self-or partner-related kinematics taken alone. This marker emerges when partners can see each other, exhibits a topographical distribution over occipital areas, and is specifically driven by movement observation rather than initiation. Using data-driven kinematic decomposition, we further show that vertical bounce movements best drive observers’ EEG activity. These findings highlight the potential of real-world neuroimaging, combined with multivariate modeling, to uncover the mechanisms underlying complex yet natural social behaviors.

Significance statement Real-world brain function involves integrating multiple information streams simultaneously. However, due to a shortfall of computational methods, laboratory-based neuroscience often examines neural processes in isolation. Using multivariate modeling of EEG data from pairs of participants freely dancing to music, we demonstrate that it is possible to tease apart physiologically established neural processes associated with music perception, motor control, and observation of a partner’s movement. Crucially, we identify a previously unknown neural marker of social coordination that encodes the spatiotemporal alignment between dancers, beyond self-or partner-related kinematics alone. These findings highlight the potential of computational neuroscience to uncover the biological mechanisms underlying real-world social and motor behaviors, advancing our understanding of how the brain supports dynamic and interactive activities.

Scientists in China have created the most complex 2D microprocessor yet, featuring nearly 6,000 transistors. The devices are made from molybdenum disulfide, a material just three atoms thick. #semiconductors

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