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Nanotechnology

Micron-Scale Beamsplitter Brings Engineers Closer to Light-Speed Computing

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Micron-scale beamsplitter

Researchers at the University of Utah have developed an incredibly tiny beamsplitter which divides light into two separate channels of information, an accomplishment which could be instrumental in the development of computers millions of times more powerful than current devices.

Currently, the basic functional component of a computer is the silicon transistor. In a nutshell, the transistor works by allowing or stopping the transition of electrons through it, which corresponds to 1s and 0s – the binary code the computer actually understands. Before it reaches the computer, information is transmitted as photons of light, but it then has to be converted into electrons in order to be usable by the machine. Using light for the entire process would be the equivalent to upgrading from a bicycle to a race car – and this is precisely what the University of Utah team is trying to make feasible.

The engineers have created an incredibly small polarization beamsplitter (an optical device which sort of resembles a QR code) on top of a silicon chip, which splits incoming light into two components. Until now, the smallest one of these components was more than 100 by 100 microns. However the University of Utah team has managed to create beamsplitters that are 2.6 by 2.6 microns (that’s dozens of times thinner than a human hair!), basically as small as they can physically get. Due to their incredibly small size, millions of these devices could be placed on a silicon chip, directing light in different ways, and eventually leading to the development of computers which are much faster than current machines.

Another great thing about this technology is that it isn’t even all that revolutionary, like quantum computing is supposed to be. This beamsplitter can be made using existing silicon chip manufacturing techniques, so it’s not going to be expensive at all. Also, since photonic chips move photons instead of electrons, they use less power and don’t heat up as much as their electronic counterparts.

Tech giants like Intel and IBM are already working on silicon photonic technology, which could initially be used in cloud servers, data centers, and supercomputers. But, as always in this field, once that happens it’s only a matter of time until light-speed computing comes to our laptops and smartphones.

Who doesn’t enjoy listening to a good story. Personally I love reading about the people who inspire me and what it took for them to achieve their success. As I am a bit of a self confessed tech geek I think there is no better way to discover these stories than by reading every day some articles or the newspaper . My bookcases are filled with good tech biographies, they remind me that anyone can be a success. So even if you come from an underprivileged part of society or you aren’t the smartest person in the room we all have a chance to reach the top. The same message shines in my beliefs. All it takes to succeed is a good idea, a little risk and a lot of hard work and any geek can become a success. VENI VIDI VICI .

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Nanotechnology

The identification of vulnerabilities in virtual reality systems

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A group of computer scientists affiliated with the University of Chicago has identified a plausible weakness within virtual reality systems. According to the researchers, this flaw has the potential to let a hacker add an “inception layer” between a user’s virtual reality home screen and their virtual reality user or server. The research team has published a scholarly article detailing their methodology and outcomes on the arXiv preprint repository.

Virtual reality (VR) systems enable users to engage in interactive experiences within a simulated environment, wherein a wide range of conceivable scenarios can be simulated. In this novel endeavor, the research team envisioned a hypothetical situation wherein hackers may implant an application onto a user’s virtual reality (VR) headset, thereby deceiving users into engaging in actions that could potentially expose confidential data to the hackers.

The underlying concept of the application is to introduce an additional dimension that separates the user from the virtual environment often encountered through their virtual reality (VR) gear. It is known as an “inception layer,” after the movie in which Leonardo DiCaprio plays a character who experiences the downloading of a modified layer of reality into his brain.

According to the researchers, this layer has the potential to enable hackers to capture data, such as a passcode inputted into a virtual ATM. Additionally, it has the capability to intercept and modify data, such as monetary sums allocated for a transaction, and redirect the disparity to the hacker’s financial account.

It has the potential to incorporate visual elements into the virtual reality environment, such as characters embodying acquaintances or relatives, and employ this deception to establish confidence or obtain privileges. Essentially, it has the capability to observe or modify gestures, vocal emissions, internet surfing behavior, and social or professional engagements.

According to the research team, it is possible for a user to download such an application onto their virtual reality (VR) device in the event that they successfully breach their WiFi network or obtain physical entry. Once implemented, it has the capability to operate autonomously without user intervention. The researchers recruited 28 participants to play a game using a demonstration virtual reality headset in order to examine the aforementioned hypothesis.

The researchers proceeded to download an application onto the devices, imitating a hacking incident. Subsequently, the volunteers were queried regarding any observations they may have made, as the download and activation procedures resulted in a slight flashing sound. Merely 10 volunteers observed, and just one of them raised doubts regarding the presence of any malicious activity.

The research team informed Meta, the manufacturer of the Meta Quest virtual reality (VR) system utilized in the experiment, of their findings. In response, Meta expressed their intention to investigate the potential vulnerability and rectify it if it is verified. Additionally, the researchers acknowledge that these vulnerabilities are likely to be present in other systems and applications that similarly aim to establish a connection between users and their virtual reality gadgets.

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Engineering

Exploring the Depths: The Quest for Dark Matter Beneath the Earth’s Surface

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Based on observations made by astronomers studying the observable universe, it has been determined that approximately 5 percent of the universe consists of matter. The remaining portion, or the vast majority of it, consists of dark matter (approximately 27 percent) and dark energy (approximately 68 percent).

Dark matter is a type of matter that cannot be detected through its own light emission. It only interacts with regular matter through the force of gravity. This interaction can be observed in galaxies and galaxy clusters, providing evidence for its existence. However, considering the abundance of this mysterious substance compared to regular matter, it is only natural for scientists to actively search for concrete proof of its presence.

One way to locate it, which may seem surprising since dark matter accounts for what we observe in the stars and galaxies, is to go underground.

Scientists around the world conduct research in various underground facilities to study phenomena like weakly interacting massive particles (WIMPs) and the impact of neutrinos. It is believed that the WIMPs are constantly passing through the Earth as it moves through space. To detect them, we require highly sensitive detectors capable of capturing these subtle interactions.

“In the Stanford LUX-ZEPLIN experiment, an electric field is applied across the volume of liquid, causing the released electrons to be pushed towards the liquid’s surface,” explained Hugh Lippincott, a physics professor at the University of California, Santa Barbara, in an article for The Conversation.

When they break through the surface, an additional electric field propels them into the xenon-filled space above the liquid, where they produce a second burst of light. Two extensive arrays of light sensors capture the two bursts of light, enabling researchers to reconstruct the precise location, energy, and nature of the interaction that occurred.

They are very good scanners, and even if they don’t find dark matter, they can help narrow down what it isn’t. It’s just that putting them on the surface would make them pick up way too much noise.

“On Earth, however, we are constantly surrounded by low, nondangerous levels of radioactivity coming from trace elements—mainly uranium and thorium—in the environment, as well as cosmic rays from space,” Lippincott said. “The goal in hunting for dark matter is to build as sensitive a detector as possible, so it can see the dark matter, and to put it in as quiet a place as possible, so the dark matter signal can be seen over the background radioactivity.”

They are put deep below the ground so they can find dark matter. SNOLAB is the world’s deepest and cleanest lab. Every day, scientists have to go 2 kilometers (1.24 miles) underground and then walk further inside a working mine to get there.

The LUX-ZEPLIN project, which is deep in the Black Hills of South Dakota, has been recording about five events a day. This is a lot less than the trillion events it would pick up at the surface. Scientists have ruled out dark matter as a possible cause for all of them, though. But as long as the tests keep going, there is still hope that they will find proof of all the lost stuff in the universe deep underground.

 

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Artificial Intelligence

Google has initiated a $5 million global competition to discover practical applications for quantum computers

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Google has initiated an international competition in collaboration with XPRIZE and the Geneva Science and Diplomacy Anticipator (GESDA) to utilize quantum computing for practical problems.

Quantum computers utilize the principles of quantum physics to solve highly complicated problems beyond the capabilities of regular computers, including supercomputers. It is hoped that as science advances, these computers will be capable of doing intricate calculations, particularly in drug discovery or molecular behavior modeling.

A traditional supercomputer may attempt to replicate molecular behavior through brute force and use its numerous processors to investigate all potential behaviors of each portion of the molecule. However, when it progresses beyond the most basic and uncomplicated molecules, the supercomputer encounters a halt. IBM states that no computer has the capacity to process all potential variations of molecular behavior using current methods due to limitations in working memory.

Quantum algorithms approach complicated issues by generating multidimensional computational environments. This method proves to be a significantly more effective approach for solving intricate issues, such as chemical simulations.

The field is exhilarating. There are sporadic reports of significant developments or accomplishments in quantum computing, along with fervent predictions of how it might revolutionize the world. Quantum computers are not very practical or beneficial, despite the attention they receive. Companies are currently developing the initial quantum computer operating system.

Google stated in a press release that despite reasons for optimism regarding quantum computing, there is still uncertainty about the extent to which, the timing, and the specific real-world problems for which this technology will be most revolutionary.

“We aim to illuminate these questions by encouraging the community to further develop and predict the beneficial effects of quantum computing on society through the introduction of this prize.”

The competition will last for three years and requires participants to create applications for quantum computing that have societal benefits. During the initial round, participants must articulate the issue they aim to address and present an evaluation of the time required for a quantum computer to execute their method to solve it.

Up to 20 teams will progress to the finals from the group of competitors and collectively get the initial $1 million of the total prize. In the upcoming round, they will need to demonstrate how they can achieve a quicker or more precise solution on a quantum computer compared to conventional computers. They must also explain how these calculations would benefit society. The top three candidates or teams will receive $3 million, and the runners-up will receive $1 million.

Additional information is available on the Xprize website.

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