The promise of quantitative computers seems to be that they will raise modern computing as we know it. With exceptional computer power, they will perform feats unimaginable for any classic supercomputer.
However, the reality of quantitative computers did not live until its Hype. Claims on “quantum advantage” – regular computers problems cannot solve, but quantitative computers can – drag criticism from skeptics and enthusiasts in the field. Sure, we’ve seen truly impressive advancesboth Theoretical And ExperimentalBut many were disputed “feats” with little real-world applicability.
I mean to become an enthusiast. But even for me, to look through the – we face it – sometimes excessive noise feels tired and pointless. So let’s take a step back. What will be quantum technology really Is it for us? How long have we come? And how do we have to deal with the flow of PR into the sixth so -called ultimate quantum advance of the week? To discuss these questions (or rather, to hit the noise), Gizmodo traveled up to IBM’s Manhattan office to chat with Jerry ChowDirector of IBM how much. The following conversation was slightly edited for grammar and clarity.
Gayung Lee, Gizmodo: Okay, imagine I’m someone who looks like, “Oh, quantum computing is a burden of nonsense.” Why should I take care of a quantum advantage at all?
Jerry Chow: In the end, I think our goal is to bring useful quantitative computing to the world. And much of quantum computing is that we have the opportunity to build differentiating Computing about what exists today. There is a mathematical claim to this, or there are to be provided with algorithms that really show that quantum computing can really [outperform] Classic computing, such as factoring large numbers to break encryption or simulate very complex molecular structures, the grover algorithm, and all pen and paper.
But another question is, what can we do with the things that people are already building? This is very far from saying that there is an advantage for a particular kind of problem, or it is an advantage in being better than all the classic techniques you may throw it at it. When you want to solve a problem, you have at your disposal the GPUs, CPUs, all the world computers and all the world algorithms to launch this problem, right?
Quantum advantage, really, is that we can now use quantum computing plus What we have to ourselves – classic resources – to solve a problem cheaper, faster or more accurately.
Gizmodo: This is all the departure from this popular press hook, “Quantum computing will change computing forever!”
Chow: I see a quantitative advantage more like something Increase. It is not that it necessarily changes everything we can compute. So also a lot of GPU [graphics processing units] Also scaled. Obviously they were used for games – maybe a niche area – but they were really great with national computer strategies using it for grouped HPCs [high-performance computers] And for people who study molecular structures, cosmology, and high-energy physical problems that use a lot of computer capacity. We expect that something similar too, because Quantum is now an “increased tool.”
Gizmodo: The idea of an increase is really interesting, because the two – classic and quantitative computers – are generally connected, right? Confirming that quantitative computers work properly Requires cross-control with classic computers. How do researchers use this relationship to their advantage?
Chow: This is an absolutely important part of how all this happens. Everything is linked with classic computing. The only way we know how to experience computing is classic – we insert classic inputs, and we take out classic inputs. Quantum computers use quantitative mechanics and quantitative circuits to explore some exponentially large space, but in the end we perform measurements that make everything back into classic results that we then continue to process or use or use parts of our computing using other parts of our computer arsenal. People don’t be afraid that amount will replace classic!
Gizmodo: IBM is clearly a large player in this field, and you have been involved in its quantum research for 15 years. What are you particularly proud of the kingdom to achieve this approach to quantum advantage?
Chow: When I started, we may have had eight to ten people, very focused on just building better devices. Then around the mid-2010s, we decided to decide what we built and actually put it on the cloud to get things out of the physical lab and into computer experience. Suddenly we began to think less about it as turning heads and controlling voltages and more in relation to how to actually use this as a computer tool and a computer platform. Today most of our systems are deployed in quantitative data centers around the world as well as in customer locations.
And we begin to see much of that commitment. For example, our Co -workers From the Riken Institute in Japan uses an amount plus its HPC to study a molecular structure. Since then we have been able to start pushing that energy level [needed for calculations] Below closer and closer to this Hallmark level of what is best done classically, at which time we begin to really be able to make these comparisons.
Gizmodo: What is an important part of IBM’s strategy in this field?
Chow: Now, just building it is not enough. We need to derive the usefulness of quantitative computers, and much of that is the community. We need them to really require the need for advanced computers and work with us to find quantitative advantage and useful applications. This is a large part of our ecosystem strategy and why we have a quantitative network of nearly 300 members. We are not the industrial experts on various verticals, but the occasion is for health care,, Life sciencesoil and gas, and energy industries.
Gizmodo: So quantitative computers are not actually a matter of the future. They are already here.
Chow: Yes. Quantum computers are Real things that are Usable. Obviously there is a lot of marketing, a lot of noise there. But also, like, literally, you can go and run quantitative circuits for free on our machines through the network. There is a lot to learn about learning content that is there. There is a huge community base of people to help you get started. You can tell Chatgpt to install Lubricant. People don’t just need to experience it through marketing; Drop your hands!
Gizmodo: Okay. If quantum advantage is increasing, then what is the next quantum milestone? What do you most look forward to in the next ten, maybe five years – or even in the next few months, maybe – for quantum computing?
Chow: We are already traveling to a new device we want to introduce to users by the end of the year, called Nighthawk. I think the next big milestone will probably be a series of milestones from the advantageous point of view, where you will see more and more “sticks” on the ground of running more complex circuits using quantitative computers, with classic handling, so this back and forth over the following year. We will be deeply involved in the high -frequency computer community.
