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Hello and welcome! My name is Anton and in this video, we will talk about an invention of a DNA bio computer.
Links:
https://www.nature.com/articles/s41586-023-06484-9
https://www.washington.edu/news/2016/04/07/uw-team-stores-di…perfectly/
Other videos:
https://youtu.be/x3jiY8rZAZs.
https://youtu.be/JGWbVENukKc.


#dna #biocomputer #genetics.

0:00 Quantum computer hype.
0:50 Biocomputers?
1:55 Original DNA computers from decades ago.
3:10 Problems with this idea.
3:50 New advances.
5:35 First breakthrough — DNA circuit.
7:30 Huge potential…maybe.

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Continue reading “So…Biocomputers Made Out of DNA Circuits May Be a Thing Now” | >

And that’s where the trouble really starts. Down there, nature is governed by quantum mechanics. This amazingly powerful theory has been shown to account for all the forces of nature, except gravity. When physicists try to apply quantum theory to gravity, they find that space and time become almost unrecognizable. They seem to start fluctuating wildly. It’s almost like space and time fall apart. Their smoothness breaks down completely, and that’s totally incompatible with the picture in Einstein’s theory.

(01:54) As physicists try to make sense of all of this, some of them are coming to the conclusion that space and time may not be as fundamental as we always imagined. They’re starting to seem more like byproducts of something even deeper, something unfamiliar and quantum mechanical. But what could that something be? Joining me now to discuss all this is Sean Carroll, a theoretical physicist who hosts his own podcast, Mindscape. Sean spent years as a research professor of physics at Caltech [California Institute of Technology], but he is now moving to Johns Hopkins as the Homewood Professor of Natural Philosophy. He’s also an external professor at the Santa Fe Institute. But no matter where he is, Sean studies deep questions about quantum mechanics, gravity, time and cosmology. He’s the author of several books, including his most recent, Something Deeply Hidden: Quantum Worlds and the Emergence of Spacetime. Sean, thank you so much for joining us today.

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With the successful development of the Jiuzhang 3.0 quantum computer prototype, which makes use of 255 detected photons, China continues to hold a world-leading position in the field of quantum computer research and development, lead scientists for the program told the Global Times on Wednesday.

The research team, composed of renowned quantum physicists Pan Jianwei and Lu Chaoyang from the University of Science and Technology of China in collaboration with the Shanghai Institute of Microsystem and Information Technology under the Chinese Academy of Sciences and the National Parallel Computer Engineering Technology Research Center, announced the successful construction of a 255-photon-based prototype quantum computer named Jiuzhang 3.0 early Wednesday morning.

The quantum computing feat accomplished by the team of talents achieves a speed that is 10 quadrillion times faster in solving Gaussian boson sampling (GBS) problems compared with the world’s fastest supercomputers.

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The first people to make and use quantum dots were glassmakers. Working thousands of years ago, they realized that the same chemical mixture could turn glass into different colors, depending on how they heated it.

This year’s Nobel Prize in Chemistry honors three scientists who, along with their colleagues, students, and staff, figured out why the ancient glassmakers’ methods worked — and how to control them much more precisely. During the waning days of the Cold War, Alexei Ekimov and Louis Brus, working in separate labs on opposite sides of the Iron Curtain, both discovered the same thing: that tiny crystals (just millionths of a millimeter wide) act very differently than larger pieces of the exact same material. These tiny, weird crystals are called quantum dots, and just a few years after the Berlin Wall fell, Moungi Bawendi figured out how to mass-produce them.

That changed everything. Quantum dots are crystals so small that they follow different rules of physics than the materials we’re used to. Today, these tiny materials help surgeons map different types of cells in the body, paint vivid color images on QLED screens, and give LED lights a warmer glow.

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Europe is pushing to create a network infrastructure based on quantum physics.

In May 2023, Dr. Benjamin Lanyon at the University of Innsbruck in Austria took an important step toward creating a new kind of internet: he transferred information along an optical fiber 50 kilometers long using the principles of quantum physics.

Information in quantum physics differs from the units of data—binary digits—stored and processed by computers that form the core of the current World Wide Web. The quantum physics realm covers the properties and interactions of molecules, atoms and even such as electrons and photons.

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Absorption spectroscopy is an analytical chemistry tool that can determine if a particular substance is present in a sample by measuring the intensity of the light absorbed as a function of wavelength. Measuring the absorbance of an atom or molecule can provide important information about electronic structure, quantum state, sample concentration, phase changes or composition changes, among other variables, including interaction with other molecules and possible technological applications.

Molecules with a high probability of simultaneously absorbing two photons of low-energy light have a wide array of applications: in molecular probes for , as a substrate for data storage in dense three-dimensional structures, or as vectors in medicinal treatments, for example.

Studying the phenomenon by means of direct experimentation is difficult, however, and computer simulation usually complements spectroscopic characterization. Simulation also provides a microscopic view that is hard to obtain in experiments. The problem is that simulations involving relatively require several days of processing by supercomputers or months by conventional computers.

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In a recent publication in EPJ Quantum Technology, Le Bin Ho from Tohoku University’s Frontier Institute for Interdisciplinary Sciences has developed a technique called time-dependent stochastic parameter shift in the realm of quantum computing and quantum machine learning. This breakthrough method revolutionizes the estimation of gradients or derivatives of functions, a crucial step in many computational tasks.

Typically, computing derivatives requires dissecting the function and calculating the rate of change over a small interval. But even cannot keep dividing indefinitely. In contrast, quantum computers can accomplish this task without having to discrete the function. This feature is achievable because quantum computers operate in a realm known as “quantum space,” characterized by periodicity, and no need for endless subdivisions.

One way to illustrate this concept is by comparing the sizes of two on a map. To do this, one might print out maps of the schools and then cut them into . After cutting, these pieces can be arranged into a line, with their total length compared (see Figure 1a). However, the pieces may not form a perfect rectangle, leading to inaccuracies. An infinite subdivision would be required to minimize these errors, an impractical solution, even for classical computers.

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Researchers have developed a method that can reveal the location of errors in quantum computers, making them up to 10 times easier to correct. This will significantly accelerate progress towards large-scale quantum computers capable of tackling the world’s most challenging computational problems, the researchers said.

Led by Princeton University’s Jeff Thompson, the team demonstrated a way to identify when errors occur in quantum computers more easily than ever before. This is a new direction for research into quantum computing hardware, which more often seeks to simply lower the probability of an error occurring in the first place.

A paper detailing the new approach was published in Nature on Oct. 11. Thompson’s collaborators include Shruti Puri at Yale University and Guido Pupillo at Strasbourg University.

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