Connect with us

Technology

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

Published

on

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
Continue Reading
Advertisement
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

Department of Justice tells Google to sell Chrome

Published

on

By

Welcome back to the week in review. This week, we take a look at how the Department of Justice ordered Google to sell Chrome to break its monopoly, whether OpenAI by chance deleted potential evidence in a copyright lawsuit filed by The New York Times, and the way artificial intelligence corporations are exploiting TikTok for research purposes. Let’s do it.

The U.S. Department of Justice argued that Google should get rid of its Chrome browser to help break the corporate’s illegal monopoly on online search. U.S. District Court Judge Amit Mehta ruled in August that Google is an illegal monopoly for abusing its power within the search industry, and the Department of Justice’s latest filing says Google’s ownership of Android and Chrome poses a “significant challenge” to pursuing countermeasures aimed toward establishing a competitive search engine market.

Anthropic raised a further $4 billion from Amazon and agreed to make Amazon Web Services the first training site for its flagship generative artificial intelligence models. Anthropic can be working with Annapurna Labs, AWS’s chip manufacturing division, to develop future generations of Trainium accelerators, custom AWS chips for training artificial intelligence models. Amazon’s recent money injection brings the tech giant’s total investment in Anthropic to $8 billion.

OpenAI by chance deleted potential evidence in The New York Times and Daily News’ copyright lawsuit, say the publisher’s lawyers. As part of the lawsuit, OpenAI agreed to provide two virtual machines so the lawyer could seek for copyrighted content in its AI training kits. However, within the letter, lawyers for the publishers claim that OpenAI engineers deleted all publisher search data stored on one of the virtual machines.



News

Image credits:Presley Ann/Getty Images and CFOTO/Future Publishing via Getty Images

Kim Kardashian meets Optimus: The fashion mogul had hands-on experience with Tesla’s bipedal humanoid robot. In videos posted to X, Kardashian encourages Optimus to make a heart out of his hand, dance like he’s at a luau and play rock, paper, scissors. Read more

Oura’s valuation exceeds $5 billion: The smart ring maker has received a $75 million investment from glucose device maker Dexcom. The investment, which constitutes Oura’s Series D financing round, raises the corporate’s valuation to over $5 billion. Read more

Let’s organize a celebration for Partiful: The customizable event planning app challenges legacy solutions like Evite, Eventbrite, and Facebook Events, is a favourite amongst Gen Z users, and was just named a top app of 2024 by Google. Read more

Talk to me in your language: Microsoft will soon allow Teams users to clone their voices so that they can talk to others in up to nine languages: English, French, German, Italian, Japanese, Korean, Portuguese, Mandarin Chinese and Spanish. Read more

Hackers attack Andrew Tate: According to The Daily Dot, hackers breached a web-based course founded by an influencer and self-confessed misogynist, exposing data on nearly 800,000 users. Tate is currently under house arrest awaiting trial on sex trafficking and rape charges. Read more

What makes a bank a bank? The U.S. Consumer Financial Protection Bureau has ruled that each one digital services that handle significant volumes of transactions needs to be subject to bank-style supervision, which could impact Apple Pay, Cash App, Google Pay, PayPal and Venmo. Read more

A more conversational Siri: According to sources cited by Bloomberg, Apple is developing a new edition of Siri based on advanced multilingual models in an attempt to meet up with more natural-sounding competitors comparable to Google Gemini Live. Read more

Making Money With TikTok Brains: Several AI-powered research tools are taking advantage of the “PDF to Brainrot” trend, during which the text of an uploaded document is read in a monotone voice against a backdrop of “weirdly satisfying” vertical videos like Subway Surfers gameplay. Read more

Threads attacks Bluesky: As Bluesky’s user base surpasses 20 million, Instagram Threads has begun rolling out a brand new feature called custom feeds to capitalize on user demand for more personalization. Read more

ChatGPT within the classroom: OpenAI has released a free online course to help elementary and middle school teachers find out how to introduce ChatGPT into their classrooms. However, some educators are concerned about this technology and its potential for error. Read more

Do we want one other day by day word game? Normally I’m an evangelist for word games and crosswords, but I feel like we’re quickly approaching market saturation. Netflix has launched a brand new day by day word puzzle game in partnership with TED called TED Tumblewords. Read more

Analysis

selection of x-ray scans of the human head
Image credits:Real444/Getty Images

Please don’t send X-ray images to the chatbot: People often turn to generative AI chatbots to ask questions on their health concerns and higher understand their health. Since October, X users have been encouraged to upload their X-rays, MRIs and PET scans to the AI-powered chatbot, Grok, to help interpret the outcomes. Medical data is a special category subject to federal protections that, usually, only you may circumvent. But simply because you may does not imply you need to. As Zack Whittaker writes, it’s price remembering that what goes on the Internet never leaves it. Read more

This article was originally published on : techcrunch.com
Continue Reading

Technology

How the digital “you” can withstand your torturous online conference calls

Published

on

By

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
Continue Reading

Technology

‘Wolves’ sequel canceled because director ‘no longer trusted’ Apple

Published

on

By

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
Continue Reading
Advertisement

OUR NEWSLETTER

Subscribe Us To Receive Our Latest News Directly In Your Inbox!

We don’t spam! Read our privacy policy for more info.

Trending