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Category: computing – Page 19

A Radical New Kind of Particle Accelerator Could Transform Science

A particle accelerator that produces intense X-rays could be squeezed into a device that fits on a table, my colleagues and I have found in a new research project.

The way that intense X-rays are currently produced is through a facility called a synchrotron light source. These are used to study materials, drug molecules, and biological tissues. Even the smallest existing synchrotrons, however, are about the size of a football stadium.

Our research, which has been accepted for publication in the journal Physical Review Letters, shows how tiny structures called carbon nanotubes and laser light could generate brilliant X-rays on a microchip. Although the device is still at the concept stage, the development has the potential to transform medicine, materials science, and other disciplines.

3D worlds created from just a few phone photos

Existing 3D scene reconstructions require a cumbersome process of precisely measuring physical spaces with LiDAR or 3D scanners, or correcting thousands of photos along with camera pose information. A research team at KAIST has overcome these limitations and introduced a technology enabling the reconstruction of 3D—from tabletop objects to outdoor scenes—with just two to three ordinary photographs.

The results, posted to the arXiv preprint server, suggest a new paradigm in which spaces captured by can be immediately transformed into virtual environments.

The research team led by Professor Sung-Eui Yoon from the School of Computing developed the new technology called SHARE (Shape-Ray Estimation), which can reconstruct high-quality 3D scenes using only ordinary images, without precise camera pose information.

Cracking the code of complexity in computer science’s P vs. NP problem

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.

“Everyone working in computer science and mathematics knows about the ‘P vs. NP’ problem,” Seth says. “It’s one of the notorious Millennium Prize Problems: so famous and so difficult that solving one will earn you a million dollars.”

To understand the crux of the “P vs. NP” problem, imagine an enormous jigsaw puzzle or a Sudoku puzzle. It would be a “P” problem if it could be solved relatively quickly by a computer, whereas they would be an “NP” problem if they were extremely difficult to solve, but a provided solution could be quickly verified.

This Magnetic Discovery Could Be the Key to Ultrafast, Low-Energy Chips

Scientists have uncovered how tiny magnetic waves can produce electric signals inside materials, potentially transforming computing efficiency.

The discovery could lead to ultrafast, low-power chips that merge magnetic and electric systems seamlessly.

Linking magnetic waves and electric signals.

Developer to build data center near Samsung in Taylor

TAYLOR, Texas (ABJ) — A Dallas-based developer is proposing to turn a 220-acre parcel directly northeast of Samsung Electronics Co. Ltd.’s rising factory in Taylor into a data center campus.

KDC will be considered by the Taylor Planning and Zoning Commission on Nov. 12 for an employment center plan for the site at 1,051 County Road 401 for what it’s calling “Project Comal.” Details are minimal, but it would have primary data center uses along with a small lot of space for commercial, civic and other uses, according to city documents.

KDC representatives declined to comment.

IBM unveils two new quantum processors — including one that offers a blueprint for fault-tolerant quantum computing by 2029

IBM has released two new complex quantum processors alongside a new framework that would allow us to track the first demonstration of quantum advantage.

Superconducting qubit that lasts for over 1 millisecond is primed for industrial scaling

In a major step toward practical quantum computers, Princeton engineers have built a superconducting qubit that lasts three times longer than today’s best versions.

“The real challenge, the thing that stops us from having useful quantum computers today, is that you build a qubit and the information just doesn’t last very long,” said Andrew Houck, Princeton’s dean of engineering and co-principal investigator. “This is the next big jump forward.”

In an article in the journal Nature, the Princeton team report that their new qubit lasts for over 1 millisecond. This is three times longer than the best ever reported in a lab setting, and nearly 15 times longer than the industry standard for large-scale processors.

First Ever Programmable DNA Circuit Is a Breakthrough In Biocomputing

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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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Tabletop particle accelerator could transform medicine and materials science

A particle accelerator that produces intense X-rays could be squeezed into a device that fits on a table, my colleagues and I have found in a new research project.

The way that intense X-rays are currently produced is through a facility called a . These are used to study materials, drug molecules and biological tissues. Even the smallest existing synchrotrons, however, are about the size of a football stadium.

Our research, which is published in the journal Physical Review Letters, shows how tiny structures called carbon nanotubes and could generate brilliant X-rays on a microchip. Although the device is still at the concept stage, the development has the potential to transform medicine, and other disciplines.

A new ion-based quantum computer makes error correction simpler

Still, it’s not clear what type of qubit will win in the long run. Each type has design benefits that could ultimately make it easier to scale. Ions (which are used by the US-based startup IonQ as well as Quantinuum) offer an advantage because they produce relatively few errors, says Islam: “Even with fewer physical qubits, you can do more.” However, it’s easier to manufacture superconducting qubits. And qubits made of neutral atoms, such as the quantum computers built by the Boston-based startup QuEra, are “easier to trap” than ions, he says.

Besides increasing the number of qubits on its chip, another notable achievement for Quantinuum is that it demonstrated error correction “on the fly,” says David Hayes, the company’s director of computational theory and design, That’s a new capability for its machines. Nvidia GPUs were used to identify errors in the qubits in parallel. Hayes thinks that GPUs are more effective for error correction than chips known as FPGAs, also used in the industry.

Quantinuum has used its computers to investigate the basic physics of magnetism and superconductivity. Earlier this year, it reported simulating a magnet on H2, Helios’s predecessor, with the claim that it “rivals the best classical approaches in expanding our understanding of magnetism.” Along with announcing the introduction of Helios, the company has used the machine to simulate the behavior of electrons in a high-temperature superconductor.

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