IBM scientist breaks down latest quantum computing milestone - Yahoo Finance

IBM scientist breaks down latest quantum computing milestone Yahoo Finance Video and Julie Hyman October 27, 2025 StockStory Top Pick AMD -2.41% IBM -1.26% IBM (IBM) announced progress in its quantum computing project using AMD (AMD) chips. IBM Quantum systems director Jerry Chow joins Market Catalysts to explain the announcement and why it's a milestone for the quantum computing space. To watch more expert insights and analysis on the latest market action, check out more Market Catalysts. Video Transcript 00:00 Speaker A IBM shares have been trading near a record and on Friday had their best day since January after reporting that it can run a key aspect of its quantum computing using chips from AMD. In a statement, the company called the milestone a quote significant achievement towards building its full quantum computer by 2029. For more, I want to bring in Jerry Chow, IBM Quantum Systems director. I believe you guys actually brought up your um goal of when you'll be able to achieve this, Jerry. Thank you so much for joining us.00:39 Speaker A Um, so talk to me about and you guys were out with a white paper today as well talking about the advances that you have made.00:50 Speaker A It seems as though most significantly, quantum computing which can result in a lot of errors is very productive, but there are errors as part of them. You found a way to decrease the errors. Do I have that right and can you explain to me how and why this is significant?01:04 Jerry Chow Yeah, so we we came out with a aggressive path towards getting towards a fully fault tolerant error corrected machine by 2029. That was part of our road map earlier in the year.01:17 Jerry Chow Now, a key aspect of making that actually work is fundamentally figuring out where the errors are in a real-time fashion and correcting them. Uh and there's actually a classical computing element of that that needs to be done. It's called decoding. And so our news is actually about uh working out how to use a real-time algorithm in a short amount of time using standard in this in in fact, in this case, AMD uh Xilinx FPGA chips in order to do that kind of algorithm.01:50 Speaker A And and why is it important that you can use an AMD chip that's already out there to do this kind of work?02:04 Jerry Chow Yeah, so the this type of decoding work is has always been uh looked at as something that could be very uh computationally expensive and difficult. And some have have suggested that you might need to use large GPU clusters and we certainly know about uh the energy and cost implications of using things such as GPUs. And so really this gives us a different way of looking at it that in fact with the right type of algorithm, we can do this in a very short amount of time and on much cheaper types of hardware.02:37 Jerry Chow It's just the beginning, of course, there's still going to be a lot of work to to fully flesh out this type of algorithm towards what we need for 2029. but it shows that we can really start to work together with partners such as AMD to develop this kind of future.02:50 Speaker A And so, in 2029, as as you mentioned is the date that you're focusing on, what then, what will happen in 2029? What what milestone are you guys trying to achieve and then what do you do with it?03:09 Jerry Chow Yeah, I mean it's really exciting right now. There's so much going on in quantum computing. There are systems already today that we're putting out that are at the 100 cubit scale that are pushing on problems that you can't in fact solve classically. Now, the question there is whether or not those are actually applicable for things hence in the in in the enterprise.03:31 Jerry Chow In 2029, with Starling our goal is to actually put out a machine which is fault tolerant and error corrected at the scale of 200 logical cubits, which can actually run out to uh what are called quantum circuit sizes out to uh hundreds of millions of gates. And that has a significant impact on potentially being used for a lot of the provable advantages that we actually have probably read about or heard about for quantum computing to be applied to in chemistry, in finance, in optimization and so forth. 02:59 US Dollar to Weaken but at a Slower Pace Than 2025, Deutsche Bank's Saravelos Says Bloomberg • 5h ago 02:18 Nvidia CEO Huang Announces New AI Tools for Autonomous Vehicles Bloomberg • 1d ago 04:02 Why most of the U.S.