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Quantum Machines and Nvidia are using machine learning to get closer to an error-correcting quantum computer

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Dr. Yonatan Cohen, CTO and co-founder of Quantum Machines

ABOUT a yr and a half agolaunch of quantum control Quantum machines and Nvidia announced a deep partnership that can bring together Nvidia firms DGX quantum computing platform and advanced quantum control equipment Quantum Machine. We have not heard much concerning the results of this collaboration for some time, nevertheless it’s now starting to bear fruit and bringing the industry one step closer to the holy grail of an error-correcting quantum computer.

Both firms demonstrated this during a presentation held earlier this yr can use a ready-made reinforcement learning model running on Nvidia’s DGX platform to higher control the qubits within the Rigetti quantum chip through system calibration.

Yonatan Cohen, co-founder and chief technology officer of Quantum Machines, noted that his company has long sought to use classical computing engines to control quantum processors. These compute engines were small and limited, but that is not an issue with Nvidia’s incredibly powerful DGX platform. The Holy Grail, he said, is using quantum error correction. We’re not there yet. Instead, this cooperation focused on calibration, and specifically on the calibration of the so-calledπ pulses” that control the rotation of the qubit contained in the quantum processor.

At first glance, calibration may appear to be a one-time problem: you calibrate the processor before you run the algorithm on it. But it is not that easy. “If you look at the performance of quantum computers today, you get high fidelity,” Cohen said. “But when users use a computer, it’s always not of the best quality. It’s consistently drifting. If we are able to recalibrate it steadily using these sorts of techniques and underlying hardware, we are able to improve performance and maintain (high) fidelity for a very long time, which shall be needed in quantum error correction.

Comprehensive OPX+ quantum control system from Quantum Machine.Image credits:Quantum machines

Continuously adjusting these pulses in near real time is an extremely computationally intensive task, but because a quantum system is at all times barely different, additionally it is a control problem that will be solved using reinforcement learning.

“As quantum computers get bigger and better, there are all these problems that come up and become bottlenecks that require really a lot of computing power,” said Sam Stanwyck, product manager for Nvidia’s quantum computing group. “Quantum error correction is really huge. This is necessary to unlock error-tolerant quantum computing, but also how to apply exactly the right control pulses to get the most out of qubits.”

Stanwyck also emphasized that before DGX Quantum, there was no system that might achieve the minimum latency mandatory to perform these calculations.

Quantum computerImage credits:Quantum machines

As it seems, even small improvements in calibration can lead to huge improvements in error correction. “The return on investment in calibration in the context of quantum error correction is exponential,” explained Ramon Szmuk, product manager of Quantum Machines. “If you calibrate 10% better, you get exponentially better logic error (performance) in a logical qubit that is made up of many physical qubits. So we have a lot of motivation to calibrate very well and quickly.”

It is value emphasizing that this is just the start of the optimization and cooperation process. The team really just took a couple of off-the-shelf algorithms and saw which one worked best (TD3on this case). In total, the actual code to conduct the experiment was only about 150 lines long. Of course, this is dependent upon all of the work each teams have done to integrate the varied systems and construct the software stack. However, for developers, all this complexity will be hidden, and each firms expect to create more and more open source libraries over time to benefit from this larger platform.

Szmuk emphasized that on this project the team only worked with a really basic quantum circuit, but it will probably be generalized to deep circuits as well. If it will probably be done with one gate and one qubit, it will probably even be done with 100 qubits and 1,000 gates,” he said.

“I would say that an individual result is a small step, but it is a small step towards solving the most important problems,” Stanwyck added. “Useful quantum computing will require tight integration of accelerated supercomputing – and this may be the most difficult engineering challenge yet. So by being able to really do this on a quantum computer and tune the pulse in a way that’s optimized not just for a small quantum computer, but that is a scalable, modular platform, we think we’re really well on our way to solving some of the most important problems in quantum computing.”

Stanwyck also said the 2 firms plan to proceed this collaboration and bring these tools to more researchers. With Nvidia’s Blackwell chips arriving next yr, the corporate may have an much more powerful computing platform for this project as well.

This article was originally published on : techcrunch.com
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How the digital “you” can withstand your torturous online conference calls

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Now you can appear like you are on a Zoom call in your office, even whilst you’re sipping a margarita in a hammock far, far-off. Courtesy of a several-month-old startup called Marinadethe premise is easy: upload a five-minute training video of you creating an avatar, and 24 hours later you may seemingly be able to go. Do you ought to call from your automotive? This can be your secret. Too lazy to get away from bed? No problem. At the beach club? You’re probably pushing it, although judging by the demo video, that is not the only problem that should be solved. (The service is currently available in Basic, Standard and Professional versions, with prices starting from $300 to $1,150 per yr.)

The technology, backed by Los Angeles-based Krew Capital, currently only works with macOS, Pickle says, but a Windows version is anticipated next month. As for the conferencing apps that customers can pick from, they include Zoom, Google Meet and Teams, in keeping with Pickle. However, you should have to attend to make use of them. According to the website, “due to high demand, clone generation is currently delayed.”

This article was originally published on : techcrunch.com
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‘Wolves’ sequel canceled because director ‘no longer trusted’ Apple

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It could also be hard to recollect, but George Clooney and Brad Pitt starred together within the movie “Wolves,” which Apple released just two months ago.

On Friday, the film’s author and director Jon Watts said Friday that the sequel is not any longer happening; IN one other interview for Deadlinehe explained that he “no longer trusts (Apple) as a creative partner.”

According to reports, the corporate limiting your film strategy. For example, “Wolfs” was imagined to have a giant theatrical release, but as an alternative it played in a limited variety of theaters for just per week before it landed on Apple TV+.

Watts, who also created the brand new Star Wars series “Skeleton Crew,” said Apple’s change “came as a complete surprise and was made without any explanation or discussion.”

“I was completely shocked and asked them not to tell me I was writing a sequel,” Watts said. “They ignored my request and announced it in their press release anyway, apparently to put a positive spin on their streaming axis.”

As a result, Watts said he “quietly refunded the money they gave me to continue” and canceled the project.

This article was originally published on : techcrunch.com
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The Rise and Fall of the “Scattered Spider” Hackers.

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A statue of CrowdStrike’s action figure that represents the Scattered Spider cybercriminal group, seen at the Black Hat cybersecurity conference in August 2024.

After greater than two years of evading capture following a hacking spree that targeted some of the world’s largest technology firms, U.S. authorities say they’ve finally caught a minimum of some of the hackers responsible.

In August 2022 security researchers made their information public with a warning that a bunch of hackers targeted greater than 130 organizations in a complicated phishing campaign that stole the credentials of nearly 10,000 employees. The hackers specifically targeted firms that use Okta, a single sign-on service provider that hundreds of firms around the world use to permit their employees to log in from home.

Due to its give attention to Okta, the hacker group was dubbed “0ktapus”. By now the group has been hacked Caesar’s entertainmentCoinbase, DoorDash, Mailchimp, Riot Games, Twilio (twice) and dozens more.

The most notable and severe cyber attack by hackers in terms of downtime and impact was the September 2023 breach of MGM Resorts, which reportedly cost the casino and hotel giant a minimum of $100 million. In this case, the hackers collaborated with the Russian-speaking ransomware gang ALPHV and demanded a ransom from MGM for the company to get better its files. The break-in was such a nuisance that MGM-owned casinos had problems with service delivery for several days.

Over the past two years, as law enforcement has closed in on hackers, people in the cybersecurity industry have been attempting to work out exactly tips on how to classify hackers and whether to place them in a single group or one other.

Techniques utilized by hackers similar to social engineering, email and SMS phishing, and SIM swapping are common and widespread. Some of the individual hackers were part of several groups chargeable for various data breaches. These circumstances make it obscure exactly who belongs to which group. Cybersecurity giant CrowdStrike has dubbed this hacker group “Scattered Spider,” and researchers imagine it has some overlap with 0ktapus.

The group was so energetic and successful that the US cybersecurity agency CISA and the FBI issued a advice in late 2023 with detailed details about the group’s activities and techniques in an try and help organizations prepare for and defend against anticipated attacks.

Scattered Spider is a “cybercriminal group targeting large companies and their IT helpdesks,” CISA said in its advisory. The agency warned that the group “typically engaged in data theft for extortion purposes” and noted its known ties to ransomware gangs.

One thing that is comparatively certain is that hackers mostly speak English and are generally believed to be teenagers or early 20s, and are sometimes called “advanced, persistent teenagers.”

“A disproportionate number of minors are involved and this is because the group deliberately recruits minors due to the lenient legal environment in which these minors live, and they know that nothing will happen to them if the police catch the child” – Allison Nixon , director of research for Unit 221B, told TechCrunch at the time.

Over the past two years, some members of 0ktapus and Scattered Spider have been linked to a similarly nebulous group of cybercriminals generally known as “Com” People inside this broader cybercriminal community committed crimes that leaked into the real world. Some of them are chargeable for acts of violence similar to robberies, burglaries and bricklaying – hiring thugs to throw bricks at someone’s house or apartment; and swatting – when someone tricks authorities into believing that a violent crime has occurred, prompting the intervention of an armed police unit. Although born as a joke, the swat has fatal consequences.

After two years of hacking, authorities are finally starting to discover and prosecute Scattered Spider members.

in July This was confirmed by the British police arrest of a 17-year-old in reference to the MGM burglary.

In November, the U.S. Department of Justice announced it had indicted five hackers: Ahmed Hossam Eldin Elbadawy, 23, of College Station, Texas; Noah Michael Urban, 20, from Palm Coast, Florida, arrested in January; Evans Onyeaka Osiebo, 20, of Dallas, Texas; Joel Martin Evans, 25, of Jacksonville, North Carolina; and Tyler Robert Buchanan, 22, from the UK, who was arrested in June in Spain.

This article was originally published on : techcrunch.com
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