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Universal Quantum Computing as a Markov Chain

Let’s say you have a probabilistic computer with a single bit of memory. Some algorithms on the computer will stochastically flip the single bit of memory such that its new value will be uniformly distributed with a 50% chance of being 0 and a 50% chance of being 1. Other programs will place it into a degenerate distribution, meaning it either has 100% chance of being 0 every time you run the program, or other programs will produce 1 100% of the time.

A magician tells you to run one of the programs in one of the two categories of your choosing and then copy the computer’s memory state onto a thumb drive and hand it to him. You pick one, run the program, copy the bit of the memory to your thumb drive, then hand it to the magician. The magician then does something with the thumb drive you cannot see, then looks up at you and tell you exactly what category the program you ran to produce that bit came from.

Curious, you repeat this many times over: you run a program from one of the two categories (degenerate or uniform), copy the bit value produced from the algorithm, and then hand the thumb drive to the magician. Each and every time he always correctly guesses which category of program was ran to produce it.

A long-sought quantum computing milestone arrives as fermionic atom gates top 99% accuracy

Two independent research teams have each demonstrated collisional quantum gates using fermionic atoms: a long-sought milestone in quantum computing where logic operations are performed through the direct physical overlap of atoms, rather than forcing them into fragile, highly excited states.

The studies have been published simultaneously in Nature: the first led by Petar Bojović at the Max Planck Institute for Quantum Optics in Garching, Germany, and the second by Yann Kiefer and colleagues at ETH Zurich, Switzerland.

Two paths to scalable quantum computing: Optical links between fridges and higher-temperature qubits

Superconducting qubits—bits of quantum information—have been widely considered a promising technology for moving quantum computing forward. But there’s still much work to be done before they can be brought out of a near absolute zero temperature environment. The lab of Professor Hong Tang has recently published two studies that advance the technology.

To solve practical problems, quantum processors need a lot of qubits—up to thousands to millions. Such a large number of qubits requires significantly complex wiring and a way to store them at a temperature colder than deep space. This is complicated by the physical size of the cryogenic devices, known as dilution refrigerators, that maintain qubits at a temperature just above absolute zero. In a study published in Nature Photonics, Tang’s research team has found a way around this obstacle.

A flexible and cost-effective solution is to build a quantum network by connecting qubits inside separate refrigerators. Connecting qubits with standard coaxial cables, however, wouldn’t work if those cables were kept in a room temperature environment. And storing them all in one very cold room would be near impossible. Even under an optimistic assumption of 1,000 qubits per refrigerator, scaling to 1 million qubits would require linking 1,000 refrigerators—an arrangement that is physically impractical within a single room.

Why ultrashort laser pulses could make low-power electron sources far more practical

A new theoretical study finds shorter laser pulses achieve higher quantum efficiency for photoemission from a solid surface without increasing power or intensity. Using light to knock electrons loose from a surface—known as photoemission—may soon be achievable more easily in smaller labs with smaller lasers. Shortening the length of a laser pulse can increase the emitted electrons by several orders of magnitude without increasing the laser intensity or power, according to a University of Michigan Engineering study.

The study is published in Physical Review Research.

Efficient, low-power photoemission could make particle acceleration and high-resolution imaging techniques to visualize cells and atoms more accessible. It could also help researchers develop lightwave electronics, which use light to move charge carriers, for ultrafast computing.

Each protein in the epigenome produces a different pattern of gene expression, study finds

A new study finds the proteins responsible for controlling which genes are expressed in a genome do more than simply turn a gene on or off. Essentially, each type of protein that interacts with a gene produces different behaviors—a finding with ramifications for everything from biomedical therapeutics to biological computing. A paper on the study, “Epigenome Regulators Imbue a Single Eukaryotic Promoter with Diverse Gene Expression Dynamics,” is published in the journal iScience.

At issue are “epigenome regulators.” Every organism’s genome is made up of DNA. But that DNA is bound up with many different proteins into very compact structures. The proteins that are bound to the DNA are called the epigenome, and they control which parts of the DNA get expressed. Your blood cells, nerve cells, and skin cells all have the same DNA, but perform very different functions. That’s because different parts of the DNA sequence are being expressed in each cell—and that is largely controlled by which proteins are bound to different parts of the DNA in each cell.

“We already knew that the proteins in the epigenome control the way DNA is expressed,” says Albert Keung, corresponding author of the study and an associate professor of chemical and biomolecular engineering at North Carolina State University. “Our goal here was to look at a single gene and quantify the full range of ways that the gene could be expressed by different proteins.” Keung is the Goodnight Distinguished Scholar in Innovation in Biotechnology and Biomolecular Engineering and director of biotechnology programs in NC State’s Integrative Sciences Initiative.

The physics of brain development: How cells pull together to form the neural tube

In about one out of every 1,000 pregnancies, the neural tube, a key nervous system structure, fails to close properly. Georgia Tech physicists are now helping explain why this happens, having uncovered the physics that drive neural tube closure in a pregnancy’s earliest stages.

Working with collaborators at University College London (UCL), Georgia Tech researchers used computer models to reveal how, during early development, forces generated by cells physically pull the neural tube closed—like a drawstring. This discovery offers new insight into a critical process that—when disrupted—can result in severe birth defects such as spina bifida.

“Understanding a complex developmental process like neural tube closure requires a highly interdisciplinary approach,” said Shiladitya Banerjee, an associate professor in the School of Physics. “By combining advanced biological imaging with theoretical physics, we were able to uncover the mechanical rules that drive cells to close the tube. My lab builds computational models to uncover the physical rules of living systems. The neural tube is an ideal focus because its formation requires incredible mechanical coordination.”

Quantum model explains how single electrons cause damage inside silicon chips

Researchers in the UC Santa Barbara Materials Department have uncovered the elusive quantum mechanism by which energetic electrons break chemical bonds inside microelectronic devices—a detrimental process that slowly degrades performance over time. The discovery, published as an Editors’ Suggestion in Physical Review B, explains decades-old experimental puzzles and moves scientists closer to engineering more reliable devices.

Human Language Gene Inserted Into Mice Led to Some Bizarre Effects

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Hello and welcome! My name is Anton and in this video, we will talk about a strange experiment that inserted human language genes into mice…weird things happened.
Links:
https://www.nature.com/articles/s4146https://www.cell.com/cell-reports/ful… #mice #experiment #language 0:00 Intriguing experiment where mice got a human language gene 0:50 NOVA1 gene in a nutshell 2:50 Human NOVA1 is different 3:45 Previous gene that was believed to be a language gene — Foxp2 5:35 New experiment focusing on a unique human gene 7:05 Weird experimental discoveries 8:40 What this means and what this gene does 9:40 Other things this gene seems to do 10:20 Conclusions Support this channel on Patreon to help me make this a full time job: / whatdamath Bitcoin/Ethereum to spare? Donate them here to help this channel grow! bc1qnkl3nk0zt7w0xzrgur9pnkcduj7a3xxllcn7d4 or ETH: 0x60f088B10b03115405d313f964BeA93eF0Bd3DbF Space Engine is available for free here: http://spaceengine.org Enjoy and please subscribe. Twitter: / whatdamath Facebook: / whatdamath Twitch: / whatdamath The hardware used to record these videos: New Camera: https://amzn.to/34DUUlv CPU: https://amzn.to/2LZFQCJ Video Card: https://amzn.to/2M1W26C Motherboard: https://amzn.to/2JYGiQQ RAM: https://amzn.to/2Mwy2t4 PSU: https://amzn.to/2LZcrIH Case: https://amzn.to/2MwJZz4 Microphone: https://amzn.to/2t5jTv0 Mixer: https://amzn.to/2JOL0oF Recording and Editing: https://amzn.to/2LX6uvU Some of the above are affiliate links, meaning I would get a (very small) percentage of the price paid. Thank you to all Patreon supporters of this channel Special thanks also goes to all the wonderful supporters of the channel through YouTube Memberships Credit: Emw CC BY-SA 3.0 https://en.wikipedia.org/wiki/NOVA1#/.… SWISS-MODEL — https://swissmodel.expasy.org/reposit… CC BY-SA 4.0 Licenses used: https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.https://creativecommons.org/licenses/.
https://academic.oup.com/nar/article/.
https://www.cell.com/cell-reports/ful
#mice #experiment #language.

0:00 Intriguing experiment where mice got a human language gene.
0:50 NOVA1 gene in a nutshell.
2:50 Human NOVA1 is different.
3:45 Previous gene that was believed to be a language gene — Foxp2
5:35 New experiment focusing on a unique human gene.
7:05 Weird experimental discoveries.
8:40 What this means and what this gene does.
9:40 Other things this gene seems to do.
10:20 Conclusions.

Support this channel on Patreon to help me make this a full time job:
/ whatdamath.

Bitcoin/Ethereum to spare? Donate them here to help this channel grow!
bc1qnkl3nk0zt7w0xzrgur9pnkcduj7a3xxllcn7d4
or ETH: 0x60f088B10b03115405d313f964BeA93eF0Bd3DbF

Space Engine is available for free here: http://spaceengine.org.

Iron plus UV light turns alcohol into hydrogen with catalyst-like efficiency

Publishing in Communications Chemistry, researchers from Kyushu University have discovered a simple method of generating hydrogen gas by mixing methanol, sodium hydroxide, and iron ions, then irradiating the solution with UV light.

Furthermore, the catalytic activity of the reaction is comparable to that of some previously reported systems that use organometallic and heterogeneous catalysts. The team also demonstrated that the method could generate hydrogen gas from other alcohols and biomass-derived materials, such as glucose and cellulose.

From microchip circuits to the medicine you take when you fall ill, everything in our lives requires catalysts. Naturally, research and development of catalysts are not only lucrative but essential to maintaining our modern lifestyle.

Laser method unlocks 3,000-Kelvin thin-film synthesis for quantum materials

Thin films might not come up in conversation every day, but they are all around us. Take the metallic plastic films of chip bags, for example, or the anti-reflective coatings on eyeglasses. Even the coatings on pills that make them easier to swallow are thin films. Depositing extremely thin layers of materials in a consistent and uniform way is also crucial to the production of semiconductors, which are the foundation of modern electronics.

Not all materials can be easily deposited in such thin layers, such as materials with very high melting points. Now, Caltech researchers led by Austin Minnich, professor of mechanical engineering and applied physics, and deputy chair of the Division of Engineering and Applied Science, have demonstrated a laser-based method for generating thin films of materials, such as niobium. The work could directly impact superconducting electronics used in quantum computers.

The team recently described the work in a paper published in the journal Applied Physics Letters.

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