Graph states, a class of entangled quantum states that can be represented by graphs, have been the topic of numerous recent physics studies, due to their intriguing properties. These unique properties could make them particularly promising for quantum computing applications, as well as a wider range of quantum technologies.
Bartosz Regula from the RIKEN Center for Quantum Computing and Ludovico Lami from the University of Amsterdam have shown, through probabilistic calculations, that there is indeed, as had been hypothesized, a rule of “entropy” for the phenomenon of quantum entanglement. This finding could help drive a better understanding of quantum entanglement, which is a key resource that underlies much of the power of future quantum computers. Little is currently understood about the optimal ways to make an effective use of it, despite it being the focus of research in quantum information science for decades.
The second law of thermodynamics, which says that a system can never move to a state with lower “entropy”, or order, is one of the most fundamental laws of nature, and lies at the very heart of physics. It is what creates the “arrow of time,” and tells us the remarkable fact that the dynamics of general physical systems, even extremely complex ones such as gases or black holes, are encapsulated by a single function, its “entropy.”
There is a complication, however. The principle of entropy is known to apply to all classical systems, but today we are increasingly exploring the quantum world. We are now going through a quantum revolution, and it becomes crucially important to understand how we can extract and transform the expensive and fragile quantum resources.
A team of scientists in the United Kingdom say they’ve discovered a porous material that has the potential to store large quantities of greenhouse gases, making it a possible new tool in the arsenal to fight climate change.
The scientists detailed how they used computational models to develop this material in a newly published paper in the journal Nature Synthesis, arguing that certain features of the structure could make it excellent storage for carbon dioxide and sulphur hexafluoride, another powerful greenhouse gas.
“This is an exciting discovery because we need new porous materials to help solve society’s biggest challenges,” engineering professor Marc Little from Edinburgh’s Heriot-Watt University said in a statement about the research.
A team of researchers led by the University of Massachusetts Amherst has drawn inspiration from a wide variety of natural geometric motifs—including those of 12-sided dice and potato chips—in order to extend a set of well-known design principles to an entirely new class of spongy materials that can self-assemble into precisely controllable structures.
Now Princeton researchers have sparked new life into static. Using millions of hours of computational time to run detailed simulations, the researchers found a way to describe static charge atom-by-atom with the mathematics of heat and work. Their paper appeared in Nature Communications on March 23.
The study looked specifically at how charge moves between materials that do not allow the free flow of electrons, called insulating materials, such as vinyl and acrylic. The researchers said there is no established view on what mechanisms drive these jolts, despite the ubiquity of static: the crackle and pop of clothes pulled from a dryer, packing peanuts that cling to a box.
“We know it’s not electrons,” said Mike Webb, assistant professor of chemical and biological engineering, who led the study. “What is it?”
China’s brain-computer interface technology is catching up to the US. But it envisions a very different use case: cognitive enhancement.
Computer simulations by astronomers support the idea that dark matter—matter that no one has yet directly detected but which many physicists think must be there to explain several aspects of the observable universe—exists, according to the researchers, who include those at the University of California, Irvine.
In this Tools of the Trade article, Samuel Gould explains how prime editing sensors can improve experimental efficiency and can be designed using a computational tool he created and named PEGG.
Download Opera for free using https://opr.as/Opera-browser-anastasiintech Thanks Opera for sponsoring this video!Timestamps:00:00 — Intro00:52 — Computing w…
