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Thermodynamic computing introduces a new, potentially more energy-efficient and probabilistic approach to computing, which could revolutionize the way we approach and understand computing Questions to inspire discussion What is thermodynamic computing? —Thermodynamic computing is a new approach to computing that aims to be more energy-efficient and probabilistic.

The probe also achieved stable neural recordings in rat brains for up to two years, showing excellent biocompatibility and long-term recording stability, state news agency Xinhua reported.

Cheng Heping, with the Chinese Academy of Sciences and director of the National Centre for Biomedical Imaging Science at Peking University, told Xinhua that the achievement provided a powerful tool for high-throughput simultaneous monitoring of activity in multiple brain regions, and for exploring the relationships between neural activity and behaviour.

The path to quantum supremacy is complicated by a fairy tale challenge – how do you carry a cloud without changing its shape?

The potential solution sounds almost as fantastical as the problem. You could guide the cloud to dance as it travels, to the beat of a unique material known as a time crystal.

Krzysztof Giergiel and Krzysztof Sacha from Jagiellonian University in Poland and Peter Hannaford from Swinburne University of Technology in Australia propose a novel kind of ‘time’ circuit might be up to the task of preserving the nebulous states of qubits as they’re carried through tempests of quantum logic.

Physicists have proposed a new theory: in the first quintillionth of a second, the universe may have sprouted microscopic black holes with enormous amounts of nuclear charge.

For every kilogram of matter that we can see — from the computer on your desk to distant stars and galaxies — there are 5kgs of invisible matter that suffuse our surroundings. This “dark matter” is a mysterious entity that evades all forms of direct observation yet makes its presence felt through its invisible pull on visible objects.

Continue reading “What happened in Big Bang — new theory, new state of matter” »

Researchers from The University of Texas at Dallas and Seoul National University have developed an imager chip inspired by Superman’s X-ray vision that could be used in mobile devices to make it possible to detect objects inside packages or behind walls.

Chip-enabled cellphones might be used to find studs, wooden beams or wiring behind walls, cracks in pipes, or outlines of contents in envelopes and packages. The technology also could have medical applications.

The researchers first demonstrated the imaging technology in a 2022 study. Their latest paper, published in the March print edition of IEEE Transactions on Terahertz Science and Technology, shows how researchers solved one of their biggest challenges: making the technology small enough for handheld mobile devices while improving image quality.

Scientists have utilized a quantum annealer to simulate quantum materials effectively, marking a crucial development in applying quantum computing in material science and enhancing quantum memory device performance.

Physicists have long been pursuing the idea of simulating quantum particles with a computer that is itself made up of quantum particles. This is exactly what scientists at Forschungszentrum Jülich have done together with colleagues from Slovenia. They used a quantum annealer to model a real-life quantum material and showed that the quantum annealer can directly mirror the microscopic interactions of electrons in the material. The result is a significant advancement in the field, showcasing the practical applicability of quantum computing in solving complex material science problems. Furthermore, the researchers discovered factors that can improve the durability and energy efficiency of quantum memory devices.

Richard Feynman’s Legacy in Quantum Computing.

For hundreds of years, the clarity and magnification of microscopes were ultimately limited by the physical properties of their optical lenses. Microscope makers pushed those boundaries by making increasingly complicated and expensive stacks of lens elements. Still, scientists had to decide between high resolution and a small field of view on the one hand or low resolution and a large field of view on the other.

In 2013, a team of Caltech engineers introduced a microscopy technique called FPM (for Fourier ptychographic microscopy). This technology marked the advent of computational microscopy, the use of techniques that wed the sensing of conventional microscopes with computer algorithms that process detected information in new ways to create deeper, sharper images covering larger areas. FPM has since been widely adopted for its ability to acquire high-resolution images of samples while maintaining a large field of view using relatively inexpensive equipment.

Now the same lab has developed a new method that can outperform FPM in its ability to obtain images free of blurriness or distortion, even while taking fewer measurements. The new technique, described in a paper that appeared in the journal Nature Communications, could lead to advances in such areas as biomedical imaging, digital pathology, and drug screening.

Machines have evolved to meet the demands of daily life and industrial use, with molecular-scale devices often exhibiting improved functionalities and mechanical movements. However, mastering the control of mechanics within solid-state molecular structures remains a significant challenge.

Researchers at Ulsan National Institute of Science and Technology (UNIST), South Korea have made a groundbreaking discovery that could pave the way for revolutionary advancements in data storage and beyond. Led by Professor Wonyoung Choe in the Department of Chemistry at UNIST), a team of scientists has developed zeolitic imidazolate frameworks (ZIFs) that mimic intricate machines. These molecular-scale devices can exhibit precise control over nanoscale mechanical movements, opening up exciting new possibilities in nanotechnology.

The findings have been published in Angewandte Chemie International Edition (“Zeolitic Imidazolate Frameworks as Solid-State Nanomachines”).

Advanced materials, including two-dimensional or atomically thin materials just a few atoms thick, are essential for the future of microelectronics technology. Now a team at Los Alamos National Laboratory has developed a way to directly measure such materials’ thermal expansion coefficient, the rate at which the material expands as it heats. That insight can help address heat-related performance issues of materials incorporated into microelectronics, such as computer chips.

The research has been published in ACS Nano (“Direct measurement of the thermal expansion coefficient of epitaxial WSe 2 by four-dimensional scanning transmission electron microscopy”).

“It’s well understood that heating a material usually results in expansion of the atoms arranged in the material’s structure,” said Theresa Kucinski, scientist with the Nuclear Materials Science Group at Los Alamos. “But things get weird when the material is only one to a few atoms thick.”