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IBM's Quantum System One comes to Europe top

Europe’s largest application-oriented research organization Fraunhofer-Gesellschaft received a special multi-package delivery from overseas a few months ago. Inside was an IBM Quantum System One—which until now had only existed in IBM’s New York-based data center.

Fraunhofer-Gesellschaft is betting that Quantum System One will pave the way to future industrial applications of this new computation method. It should also lead to ever more research and help develop a global quantum-ready workforce. It’s the first step towards commercially scaling IBM’s quantum computing technology. In July, a quantum computer in Japan will join its Fraunhofer cousin, and in the not too distant future, one will also be installed at Cleveland Clinic in Ohio.

“Quantum computing opens up new possibilities for industry and society,” says Hannah Venzl, the Fraunhofer Competence Network Quantum Computing coordinator. “Drugs and vaccines could be developed more quickly, climate models improved, logistics and transport systems optimized, or new materials better simulated. To make it all happen, to actively shape the rapid development in quantum computing, we need to build up expertise in Europe.”

Building up expertise is vital to create a quantum industry. We expect to achieve a “quantum advantage” within the decade—the point when quantum computers will provide more accurate, computationally cheaper solutions; or even allow us to calculate solutions to problems we can’t solve today. When that happens, these machines are likely to change the world. But the world needs to be ready for them—with a skilled, creative, results-driven talent.
That’s our quantum future—and with these machines now starting to pop up across the globe, it may be closer than you think.

Tackling the quantum talent shortage

Fraunhofer’s new addition is mirror-black and shiny. Behind the system’s giant doors, made of the same glass protecting the Mona Lisa in the Louvre, there is a cylinder-like structure. Inside is the 27-qubit Falcon processor, IBM’s most advanced, hard-tech quantum processor. It’s kept at a temperature colder than outer space, with qubits that have long coherence times—how long they remain in their quantum state—and precise, low-noise operations of about 1020 watts.

While Fraunhofer is the first place outside the US to have an IBM Quantum System One, the interest in quantum technologies has been steadily growing over the past decade. Nearly all continents now have quantum computing startups, and many tech giants and IBM are making strides in the field. In total, the global market for quantum technologies could soon reach nearly $22 billion.

But here is the thing. While investments in research and the research itself are important, they are not enough. There is a disconnect between the development of a quantum computer and its wide-scale commercialization.

Only a fraction of businesses is getting quantum-ready. The vast majority of companies still do not have the workforce able to use quantum computers, do any quantum programming, or even imagine how a quantum computer could help them. There is little on-the-job quantum training and few hires with quantum computing skills.

That’s why partnerships like the one between IBM and Fraunhofer are crucial—even though it’s unnecessary to buy a quantum computer to access one. Currently, 150 organizations in IBM’s Quantum Network, including research labs, startups, universities, and enterprises, access IBM’s quantum fleet via the cloud. Still, being able to have the machine on-premises helps with processing more data locally.

Fraunhofer’s System One, which came online a few weeks ago for testing, is already hard at work. Researchers here in Germany have started exploring new simulation approaches for materials in energy storage systems focusing on quantum optimization. Another project being actively studied by the local researchers is to optimize financial asset portfolios better and improve the stability parameters in energy supply infrastructures. They even aim to use the quantum computer to push the limits of deep learning with quantum machine learning.

“At Fraunhofer, we have more than 70 years of expertise in applied research and industrial projects, and we are closely interlinked with industry”. “The training on the system will help us develop practical applications and build up important competencies in German industry and at Fraunhofer itself.” The ball at Fraunhofer is rolling—but getting the machine here was anything but trivial.

“I was on-site in October 2019 where I had the chance to interact directly with the team doing local design work, get everyone involved—electricians, to plumbers—and walk through the plans in detail,” says Chris Lirakis, IBM quantum lead for quantum systems deployment, who is based at IBM’s Yorktown Heights lab near New York City. “It’s the only way that you can read people’s body language, take cultural and language differences into account.”

Lirakis’s plans, though, got derailed. The pandemic meant no one from the US team could fly to Germany. So the IBMers had to resolve to NASA-inspired techniques of remote assembly, taking the remote working practices of this pandemic to the extreme.

One of the crates shipped was custom-built to withstand vibration isolation, with shock-absorbing material and brackets that could be bolted down, making the entire crate impossible to tip over.

The IBM team in Germany that created the ‘hub’ of the Quantum System One in Ehningen, a town half an hour drive from Stuttgart, initially had no experience assembling the full system. So Lirakis and his colleagues set up an in-depth course in quantum assembly for the German engineers. This way, several hours a day for a few weeks, they were locked in a virtual classroom. The US team had to be on a video conference call with the Germans at 2:00 a.m., at the start of Stuttgart.
On a lighter note, on Fridays, the two teams happily cracked open beers at the end of the day—lunchtime on the US east coast. Still, they pulled it off, and the quantum computer came online according to the original, pre-COVID schedule in January 2021.

Getting quantum-ready-early

While the quantum system is for Fraunhofer, scientists, and students outside the institute can use it for civil research and education. Access requires a contract, and the use is based on a monthly ticket, giving partners flexibility without a long-term commitment.

Every new researcher that gets their hands on the machine, in the lab or through the cloud, will contribute to turning the trickle of quantum talent into a flood, vital for the emerging quantum era. We need more collaborations like these, between researchers and students, to create a diverse quantum-ready workforce with careers in quantum technologies of the future.

The keyword here is “diverse.”

Scientists and students using quantum computers shouldn’t just be physicists or programmers, which is often the case today. A successful quantum ecosystem of tomorrow needs quantum computing engineers, computer scientists, technicians, experts in optics and photonics, and even economists, market leaders, and communicators.

We need skilled quantum programmers to create libraries of quantum algorithms for specific problems in different fields. But we also need quantum experts to improve software and hardware further, to advance core quantum computing technology. And we need businesses to have enough quantum awareness to realize that a quantum computer would help them significantly improve output and possibly create products they can’t create today.

As the technology and the ecosystem mature, thousands of new jobs will appear. We need to address today’s quantum talent shortage, ensuring skilled enough, clever people to fill them. We have to get the world ready before the technology is ready to reap the most rewards.

More collaborations like the one with Fraunhofer will help to democratize the quantum industry and build a vibrant quantum computing ecosystem to make the world quantum-ready—and start shaping our quantum future.

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Craig Disney
About Craig Disney

I am Craig - space and data-driven science guru. I am In charge of technology research and development. He is in charge of inventions in areas of Smart Cities, from historical to the modern development that covers technical, chemical, medical, philosophy research. I am also a big fan of experimental physics, quantum mechanics, and searching the truth in conspiracy theories.

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