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Category: computing – Page 112

Dr. Caroline Dorn: “The larger the planet and the greater its mass, the more the water tends to go with the iron droplets and become integrated in the core.”

Do certain exoplanets mirror Earth regarding their distribution of iron and water? This is what a recent study published in Nature Astronomy hopes to address as an international team of researchers investigated the evolution of exoplanets and how they form their iron core with water residing either beneath or above the surface, and whether as a liquid or gas. This study holds the potential to help researchers better understand the formation and evolution of exoplanets, which will enable scientists to provide better targets for identifying Earth-like worlds throughout the cosmos.

For the study, the researchers use computer models to simulate the formation of planetary interiors on super-Earth and sub-Neptune exoplanets, specifically with a focus on the distribution of water within a planet’s interior in relation to the additional iron and metallic composition. In the end, the researchers found that longstanding hypotheses about the formation and evolution of water worlds are challenged given the model’s results that 95 percent or more of water on an exoplanet is stored within the planet’s interior, as opposed to the surface.

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There is a theory dubbed “quantum consciousness,” which stipulates that brain functions and consciousness are derived from quantum effects like the collapse of the quantum wavefunction.

This is a strange part of quantum physics, where particles go from a state of simultaneous properties to a more “normal” state where they have one defined characteristic. It has notably been popularized by the concept of Schrödinger’s cat.

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A view into how nanoscale building blocks can rearrange into different organized structures on command is now possible with an approach that combines an electron microscope, a small sample holder with microscopic channels, and computer simulations, according to a new study by researchers at the University of Michigan and Indiana University.

The approach could eventually enable smart materials and coatings that can switch between different optical, mechanical and electronic properties.

“One of my favorite examples of this phenomenon in nature is in chameleons,” said Tobias Dwyer, U-M doctoral student in chemical engineering and co-first author of the study published in Nature Chemical Engineering (“Engineering and direct imaging of nanocube self-assembly pathways”). “Chameleons change color by altering the spacing between nanocrystals in their skin. The dream is to design a dynamic and multifunctional system that can be as good as some of the examples that we see in biology.”

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Entanglement is a fundamental concept in quantum information theory and is often regarded as a key indicator of a system’s “quantumness”. However, the relationship between entanglement and quantum computational power is not straightforward. In a study posted on the arXiv preprint server, physicists in Germany, Italy and the US shed light on this complex relationship by exploring the role of a property known as “magic” in entanglement theory. The study’s results have broad implications for various fields, including quantum error correction, many-body physics and quantum chaos.

Traditionally, the more entangled your quantum bits (qubits) are, the more you can do with your quantum computer. However, this belief – that higher entanglement in a quantum state is associated with greater computational advantage – is challenged by the fact that certain highly entangled states can be efficiently simulated on classical computers and do not offer the same computational power as other quantum states. These states are often generated by classically simulable circuits known as Clifford circuits.

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Peel apart a smartphone, fitness tracker or virtual reality headset, and inside you’ll find a tiny motion sensor tracking its position and movement. Bigger, more expensive versions of the same technology, about the size of a grapefruit and a thousand times more accurate, help navigate ships, airplanes and other vehicles with GPS assistance.

Now, scientists are attempting to make a motion sensor so precise it could minimize the nation’s reliance on global positioning satellites. Until recently, such a sensor — a thousand times more sensitive than today’s navigation-grade devices — would have filled a moving truck. But advancements are dramatically shrinking the size and cost of this technology.

For the first time, researchers from Sandia National Laboratories have used silicon photonic microchip components to perform a quantum sensing technique called atom interferometry, an ultra-precise way of measuring acceleration. It is the latest milestone toward developing a kind of quantum compass for navigation when GPS signals are unavailable.

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Researchers have successfully demonstrated negative entanglement entropy using classical electrical circuits as stand-ins for complex quantum systems, providing a practical model for exploring exotic quantum phenomena and advancing quantum information technology.

Entanglement entropy quantifies the degree of interconnectedness between different parts of a quantum system. It indicates how much information about one part reveals about another, uncovering hidden correlations between particles. This concept is essential for advancing quantum computing and quantum communication technologies.

To understand what negative entanglement entropy means, we will first need to know what entanglement and entropy are.

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Researchers have uncovered new phenomena in the study of fractional quantum Hall effects.

Their experiments, conducted under extreme conditions, have revealed unexpected states of matter, challenging existing theories and setting the stage for advancements in quantum computing and materials science.

Exploring the enigmatic world of quantum physics.

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Like a computer system with built-in redundancies, a study has revealed that brains use three different sets of neurons to store a single memory. The finding could one day help soften painful memories in people who’ve suffered trauma.

By imaging the brains of mice, researchers at the University of Basel’s Biozentrum, were able to watch what happens when a new memory is formed. What they found was that the rodent brains called three different sets of neurons into action to record the memory. The first are known as early-born neurons and are the earliest to develop as a fetus is growing. At the other end of the spectrum are the late-born neurons, which show up late in embryonic development. Between these are neurons that form somewhere right in the middle of growth in the womb.

The imaging study revealed that when the new memory is stored in the early-born neurons, it is initially hard to retrieve, but it becomes stronger as time goes on.

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