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“I’ve often seen a cat without a grin,” thought Alice. “But a grin without a cat! It’s the most curious thing I ever saw in all my life!”

It’s an experience eminent physicist Yakir Aharonov can relate to. Together with fellow Israeli physicist Daniel Rohrlich, he’s shown theoretically how a particle might show its face in a corner of an experiment without needing its body anywhere in sight.

To be more precise, their analysis argues information could be transferred between two points without an exchange of particles.

Be it with smartphones, laptops, or mainframes: The transmission, processing, and storage of information is currently based on a single class of material—as it was in the early days of computer science about 60 years ago. A new class of magnetic materials, however, could raise information technology to a new level. Antiferromagnetic insulators enable computing speeds that are a thousand times faster than conventional electronics, with significantly less heating. Components could be packed closer together and logic modules could thus become smaller, which has so far been limited due to the increased heating of current components.

Information transfer at room temperature

So far, the problem has been that the information transfer in antiferromagnetic insulators only worked at low temperatures. But who wants to put their smartphones in the freezer to be able to use it? Physicists at Johannes Gutenberg University Mainz (JGU) have now been able to eliminate this shortcoming, together with experimentalists from the CNRS/Thales lab, the CEA Grenoble, and the National High Field Laboratory in France as well as theorists from the Center for Quantum Spintronics (QuSpin) at the Norwegian University of Science and Technology. “We were able to transmit and process information in a standard antiferromagnetic insulator at room temperature—and to do so over long enough distances to enable information processing to occur”, said JGU scientist Andrew Ross. The researchers used iron oxide (α-Fe2O3), the main component of rust, as an antiferromagnetic , because iron oxide is widespread and easy to manufacture.

When a black hole is actively feeding, something strange can be observed: enormously powerful jets of plasma shoot from its poles, at velocities approaching light speed.

Given the intense gravitational interactions at play, exactly how those jets form is a mystery. But now, using computer simulations, a team of physicists has hit upon an answer — particles seeming to have “negative energy” extract energy from the black hole and redirect it to the jets.

And this theory has, for the first time, united two different and seemingly irreconcilable theories about how energy can be extracted from a black hole.

Circa 2014


We propose the new dark matter particle candidate—the “black hole atom,” which is an atom with the charged black hole as an atomic nucleus and electrons in the bound internal quantum states. As a simplified model we consider the central Reissner-Nordström black hole with the electric charge neutralized by the internal electrons in bound quantum states. For the external observers these objects would look like the electrically neutral Schwarzschild black holes. We suppose the prolific production of black hole atoms under specific conditions in the early universe.

Northwestern University researchers have developed a first-of-its-kind life-like material that acts as a soft robot. It can walk at human speed, pick up and transport cargo to a new location, climb up hills and even break-dance to release a particle.

Nearly 90% water by weight, the centimeter-sized moves without complex hardware, hydraulics or electricity. Instead, it is activated by light and walks in the direction of an external rotating .

Resembling a four-legged octopus, the robot functions inside a water-filled tank, making it ideal for use in aquatic environments. The researchers imagine customizing the movements of miniature robots to help catalyze different chemical reactions and then pump out the valuable products. The robots also could be molecularly designed to recognize and actively remove unwanted particles in specific environments, or to use their mechanical movements and locomotion to precisely deliver bio-therapeutics or cells to specific tissues.

Researchers have found a way to protect highly fragile quantum systems from noise, which could aid in the design and development of new quantum devices, such as ultra-powerful quantum computers.

The researchers, from the University of Cambridge, have shown that microscopic particles can remain intrinsically linked, or entangled, over long distances even if there are random disruptions between them. Using the mathematics of quantum theory, they discovered a simple setup where entangled particles can be prepared and stabilized even in the presence of noise by taking advantage of a previously unknown symmetry in .

Their results, reported in the journal Physical Review Letters, open a new window into the mysterious quantum world that could revolutionize future technology by preserving in , which is the single biggest hurdle for developing such technology. Harnessing this capability will be at the heart of ultrafast quantum computers.

There’s more than one way to rank future civilizations, you know! Regular viewers will know all about the Kardashev Scale, but now there’s a NEW theory in town! In this video, Unveiled journeys to the future of humanity to ask; What will we look like? What will we be like? And how much will we have changed?

This is Unveiled, giving you incredible answers to extraordinary questions!

Find more amazing videos for your curiosity here:
What If Humanity Was A Type VII Civilization? — https://youtu.be/pz-Z8AavJZY
What If the Universe is an Atom? — https://youtu.be/WYyu9h9JJfg.

Are you constantly curious? Then subscribe for more from Unveiled ► https://wmojo.com/unveiled-subscribe.

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In recent years, it has become possible to use laser beams and electron beams to “print” engineering objects with complex shapes that could not be achieved by conventional manufacturing. The additive manufacturing (AM) process, or 3D printing, for metallic materials involves melting and fusing fine-scale powder particles—each about 10 times finer than a grain of beach sand—in sub-millimeter-scale “pools” created by focusing a laser or electron beam on the material.

“The highly focused beams provide exquisite control, enabling ‘tuning’ of properties in critical locations of the printed object,” said Tresa Pollock, a professor of materials and associate dean of the College of Engineering at UC Santa Barbara. “Unfortunately, many advanced metallic alloys used in extreme heat-intensive and chemically corrosive environments encountered in energy, space and nuclear applications are not compatible with the AM process.”

The challenge of discovering new AM-compatible materials was irresistible for Pollock, a world-renowned scientist who conducts research on advanced metallic materials and coatings. “This was interesting,” she said, “because a suite of highly compatible alloys could transform the production of having high economic value—i.e. materials that are expensive because their constituents are relatively rare within the earth’s crust—by enabling the manufacture of geometrically complex designs with minimal material waste.

In what could be one of the significant developments in the field of quantum computing, Chinese researchers suggest having achieved quantum supremacy with the capability of performing calculations 100 trillion times faster than the world’s most advanced supercomputer. Researchers from the University of Science and Technology of China, Hefei, believe that when put into practical use, it can carry calculations in minutes which would have otherwise taken two billion years to perform. The fastest supercomputers, before this, claimed to have achieved computational efficiency easing up to 10,000 years of calculations.

Jiuzhang, as the supercomputer is called, has outperformed Google’s supercomputer, which the company had claimed last year to have achieved quantum computing supremacy. The supercomputer by Google named Sycamore is a 54-qubit processor, consisting of high-fidelity quantum logic gates that could perform the target computation in 200 seconds.

The researchers explored Boson sampling, a task considered to be a strong candidate to demonstrate quantum computational advantage. As the researcher cited in the research paper, they performed Gaussian boson sampling (GBS), which is a new paradigm of boson sampling, one of the first feasible protocols for quantum computational advantage. In boson sampling and its variants, nonclassical light is injected into a linear optical network, which generates highly random photon-number, measured by single-photon detectors.

Coronaviruses are enveloped, positive-stranded RNA viruses with a genome of approximately 30 kb. Based on genetic similarities, coronaviruses are classified into three groups. Two group 2 coronaviruses, human coronavirus OC43 (HCoV-OC43) and bovine coronavirus (BCoV), show remarkable antigenic and genetic similarities. In this study, we report the first complete genome sequence (30,738 nucleotides) of the prototype HCoV-OC43 strain (ATCC VR759). Complete genome and open reading frame (ORF) analyses were performed in comparison to the BCoV genome. In the region between the spike and membrane protein genes, a 290-nucleotide deletion is present, corresponding to the absence of BCoV ORFs ns4.9 and ns4.8. Nucleotide and amino acid similarity percentages were determined for the major HCoV-OC43 ORFs and for those of other group 2 coronaviruses. The highest degree of similarity is demonstrated between HCoV-OC43 and BCoV in all ORFs with the exception of the E gene. Molecular clock analysis of the spike gene sequences of BCoV and HCoV-OC43 suggests a relatively recent zoonotic transmission event and dates their most recent common ancestor to around 1890. An evolutionary rate in the order of 4 × 10−4 nucleotide changes per site per year was estimated. This is the first animal-human zoonotic pair of coronaviruses that can be analyzed in order to gain insights into the processes of adaptation of a nonhuman coronavirus to a human host, which is important for understanding the interspecies transmission events that led to the origin of the severe acute respiratory syndrome outbreak.

Coronaviruses are large (120- to 160-nm), roughly spherical particles with a linear, nonsegmented, capped, and polyadenylated positive-sense single-stranded RNA genome that is encapsidated in a helical nucleocapsid. The envelope is derived from intracellular membranes and contains a characteristic crown of widely spaced club-shaped spikes that are 12 to 24 nm long. The genus Coronavirus (International Committee on the Taxonomy of Viruses database [ICTVdb], virus code 03.019.0.1) belongs to the family Coronaviridae in the order Nidovirales (7, 8).

Before the 2002-to-2003 severe acute respiratory syndrome (SARS) epidemic, coronaviruses were somewhat neglected in human medicine, but they have always been of considerable importance in animal health. Coronaviruses infect a variety of livestock, poultry, and companion animals, in whom they can cause serious and often fatal respiratory, enteric, cardiovascular, and neurologic diseases (25). Most of our understanding about the molecular pathogenic properties of coronaviruses has been achieved by the veterinary virology community.