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Category: computing – Page 11

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.

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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.

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A team of Rice University researchers has developed a new way to control light interactions using a specially engineered structure called a 3D photonic-crystal cavity. Their work, published in the journal Nature Communications, lays the foundation for technologies that could enable transformative advancements in quantum computing, quantum communication and other quantum-based technologies.

“Imagine standing in a room surrounded by mirrors,” said Fuyang Tay, an alumnus of Rice’s Applied Physics Graduate Program and first author of the study. “If you shine a flashlight inside, the light will bounce back and forth, reflecting endlessly. This is similar to how an works—a tailored structure that traps light between reflective surfaces, allowing it to bounce around in specific patterns.”

These patterns with discrete frequencies are called cavity modes, and they can be used to enhance light-matter interactions, making them potentially useful in , developing high-precision lasers and sensors and building better photonic circuits and fiber-optic networks. Optical cavities can be difficult to build, so the most widely used ones have simpler, unidimensional structures.

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Imagine the tiniest game of checkers in the world—one played by using lasers to precisely shuffle around ions across a very small grid.

That’s the idea behind a recent study published in the journal Physical Review Letters. A team of theoretical physicists from Colorado has designed a new type of quantum “game” that scientists can play on a real quantum computer—or a device that manipulates small objects, such as atoms, to perform calculations.

The researchers even tested their game out on one such device, the Quantinuum System Model H1 Quantum Computer developed by the company Quantinuum. The study is a collaboration between scientists at the University of Colorado Boulder and Quantinuum, which is based in Broomfield, Colorado.

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Scientists at EPFL have made a breakthrough in designing arrays of resonators, the basic components that power quantum technologies. This innovation could create smaller, more precise quantum devices.

Qubits, or , are mostly known for their role in , but they are also used in analog quantum simulation, which uses one well-controlled quantum system to simulate another more complex one. An analog quantum simulator can be more efficient than a digital computer simulation, in the same way that it is simpler to use a to simulate the laws of aerodynamics instead of solving many complicated equations to predict airflow.

Key to both digital quantum computing and analog quantum simulation is the ability to shape the environment with which the qubits are interacting. One tool for doing this effectively is a coupled array (CCA), made of multiple microwave cavities arranged in a repeating pattern where each cavity can interact with its neighbors. These systems can give scientists new ways to design and control quantum systems.

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The exponential miniaturization of electronic chips over time, described by Moore’s law, has played a key role in our digital age. However, the operating power of small electronic devices is significantly limited by the lack of advanced cooling technologies available.

Aiming to tackle this problem, a study published in Cell Reports Physical Science, led by researchers from the Institute of Industrial Science, The University of Tokyo, describes a significant increase in performance for the of electronic chips.

The most promising modern methods for chip cooling involve using microchannels embedded directly into the chip itself. These channels allow water to flow through, efficiently absorbing and transferring heat away from the source.

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