Tag: quantum computing

How Supercomputing Will Evolve, According to Jack Dongarra

Posted on by faz_business


Quantum computing is interesting. It’s really a wonderful area for research, but my feeling is we have a long way to go. Today we have examples of quantum computers—hardware always arrives before software—but those examples are very primitive. With a digital computer, we think of doing a computation and getting an answer. The quantum computer is instead going to give us a probability distribution of where the answer is, and you’re going to make a number of, we’ll call it runs on the quantum computer, and it’ll give you a number of potential solutions to the problem, but it’s not going to give you the answer. So it’s going to be different.

With quantum computing, are we caught in a moment of hype?

I think unfortunately it’s been oversold—there’s too much hype associated with quantum. The result of that typically is that people will get all excited about it, and then it doesn’t live up to any of the promises that were made, and then the excitement will collapse.

We’ve seen this before: AI has gone through that cycle and has recovered. And now today AI is a real thing. People use it, it’s productive, and it’s going to serve a purpose for all of us in a very substantial way. I think quantum has to go through that winter, where people will be discouraged by it, they’ll ignore it, and then there’ll be some bright people who figure out how to use it and how to make it so that it is more competitive with traditional things.

There are many issues that have to be worked out. Quantum computers are very easy to disturb. They’re going to have a lot of “faults”—they will break down because of the nature of how fragile the computation is. Until we can make things more resistant to those failures, it’s not going to do quite the job that we hope that it can do. I don’t think we’ll ever have a laptop that’s a quantum laptop. I may be wrong, but certainly I don’t think it’ll happen in my lifetime.

Quantum computers also need quantum algorithms, and today we have very few algorithms that can effectively be run on a quantum computer. So quantum computing is at its infancy, and along with that the infrastructure that will use the quantum computer. So quantum algorithms, quantum software, the techniques that we have, all of those are very primitive.

When can we expect—if ever—the transition from traditional to quantum systems?

So today we have many supercomputing centers around the world, and they have very powerful computers. Those are digital computers. Sometimes the digital computer gets augmented with something to enhance performance—an accelerator. Today those accelerators are GPUs, graphics processing units. The GPU does something very well, and it just does that thing well, it’s been architected to do that. In the old days, that was important for graphics; today we’re refactoring that so that we can use a GPU to satisfy some of the computational needs that we have.

UK’s Riverlane scores $75M to correct quantum errors

Posted on by faz_business


Quantum computing may still largely be in the theoretical domain, but the money that it’s attracting is very real. Riverlane, a specialist in quantum error correction technology, has raised $75 million to continue expanding its R&D and operations to build its operations amid a surge of interest from quantum computing customers — technologists hard at work building what could be the next great leap in computing power, if only they can tame those fail rates. 

Riverlane believes it holds the answer to that problem: The startup is building technology that fits on chips used in quantum computing systems and can track, predict and fix the errors generated by quantum bits (known as qubits). 

“Even five years ago, I would have said that only one of these qubit types is going to work,” said Steve Brierly, Riverlane’s founder and CEO, in an interview in his Cambridge office. “But actually, what we’ve seen is they’ve all progressed [along a] Moore’s Law rate. It seems to me that the pieces are in place to get to the first generation of error-corrected quantum computers. And this will be really significant because it will be the first time that a quantum computer goes beyond the capability of any supercomputer.”

Sources close to the company told TechCrunch that with this round, Cambridge, England-based Riverlane’s valuation is now above $400 million. 

And for a company that is working on breaking completely new ground in a cutting-edge field, it’s achieved another kind of first with this fundraise: It’s the first quantum computing startup in Europe to raise a Series C. 

In itself, this is a signal that — while quantum computing specialists are still working to scale their models — the industry is moving into more mature, growth funding on the heels of confidence and commitment that they will. 

A trio of investors that describe themselves as focused on sustainability are coming in as first-time backers of the startup with this round. Planet First Partners is leading the Series C, with participation from ETF Partners and Singapore’s EDBI. Previous backers Cambridge Innovation Capital (CIC), Amadeus Capital Partners, the UK’s National Security Strategic Investment Fund (NSSIF), and Altair also invested.

Quantum computing efforts are somewhat based on a leap of faith, as much of the concept has been proven only on smaller-scale efforts. Founded by Brierly while he was still a research fellow at Cambridge, where he had been researching how to solve the problem of error rates, Riverlane is very much part of that continuum. 

However, visiting the startup’s offices in Cambridge, there are clear signs of how activity is gradually moving from concept into production. The company has built an operations center where it is remotely linking up with early quantum computers before embedding chips into physical systems.

Riverlane focuses on a product it calls Deltaflow, a combination of QEC chips and hardware, as well as software, which it says will be capable of correcting billions of errors per second. 

If used in a system today, the company says the tech would represent a massive jump for current quantum computing efforts, which can typically run a few hundred operations before failing due to error rates. 

The idea is that using error correction tech like Deltaflow can improve operations enough to run millions of operations, and with time, trillions of them. That would in turn make quantum computers usable for calculating and working on the thorniest and most complex problems in areas like pharmaceuticals, transportation, chemistry and more (perhaps even in AI applications). 

The company’s vision — it’s still very much a vision, even with more than 100 engineers and other specialists (it’s hiring more now), and some customers — is laid out in a quantum error correction (QEC) roadmap that it published in July, which lays out what it plans to release in future products. 

Riverlane doesn’t disclose its full list of customers, but said it includes Rigetti Computing, Alice & Bob, QuEra Computing, Infleqtion, Atlantic Quantum and the Oakridge National Lab in the U.S. and the U.K.’s National Quantum Computing Centre (NQCC).

“We invest in companies with the potential to have a transformative impact on society and the environment,” said Nathan Medlock, managing partner at Planet First Partners, in a statement. “Riverlane’s focus on quantum error correction, coupled with its collaboration with quantum computer makers worldwide, can accelerate the global market and enable new quantum computing applications that can substantially contribute to solving social and environmental issues.”