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London and Reading, UK; Paris, France; Bologna, Italy October 5 2020 Atos, a global leader in digital transformation, and the European Center for Medium-Range Weather Forecasts (ECMWF), today announce a newCenter of Excellence in HPC, AI and Quantum computing for Weather & Climate.The Center will be based at ECMWFs headquarters in Reading, UK, where it will provide their team of international researchers with access to emerging AI (Artificial Intelligence) and Quantum Computing technologies and expertise, and benefit from ECMWFs high-performance computing (HPC) resources to be soon located in Bologna, Italy. The aim is to support ECMWF scientists in their work on medium and long-range weather forecasting and prediction and global climate modelling.

Using these latest advances in technology, ECMWF researchers will be able to improve the ability to forecast the occurrence and intensity of extreme weather events and other new weather phenomena triggered by climate change. Equipped with Atos latest BullSequana supercomputer, the Center of Excellence will also be supported by Atos experts and technology partners who will collaborate directly with ECMWF research scientists in order to develop new techniques to support next-generation weather forecasting, help boost climate and weather discovery and innovation, and help prepare ECMWF for future HPC and data handling architectures.

Bringing together world-class experts in computing, computational science and Earth system science is key tocontinuing to advance our medium- and long-range weather forecasting. The Center builds on a previous successful collaboration with Atos and will play a significant role in helping us to improve and reliably predict the occurrence and intensity of extreme weather events and other events associated with climate change significantly ahead of time,said Dr Florence Rabier, Director General at ECMWF. Technology will play a key role in supporting our experts in the field and enabling partners in our 34 Member and Co-operating States across Europe to continue to protect life and property in their countries.

Pierre Barnab,Senior Executive Vice-President, Head of Big Data & Cybersecurityat Atossaid:We are thrilled to establish this Center of Excellence together with ECMWF,where researchers will be able to explore the different usages of HPC and AI through proof of concept production, as well as innovation workshops, courses and conferences. High-performance Computing assisted by artificial intelligence holds huge potential for the climate and weather. It alsointroduces new methods and techniques that are only just becoming available.

As part of the new Center of Excellence, one of the initial projects will be to develop Machine learning solutions for applications across the numerical weather prediction workflow that are customized towards the needs of Earth system modelling. A second project will look to develop a CPU-GPU-based version of ECMWFs Integrated Forecasting System (IFS) and the wave model WAM, and to prepare the ECMWF product-generation pipeline and data-centric workflows for new technologies.

As part of the Atos Center of Excellence (CoE) in Advanced Computing, the Weather & Climate CoE is Atos second CoE dedicated to HPC, AI and quantum technologies which is focused on a scientific domain. The first being launched on8 July, together with the Wellcome Genome Campus and which is focused on Life Sciences.

The research will be powered by ECMWFs new Atos BullSequana XH2000 supercomputer, one of the most powerful meteorological supercomputers in the world. The system is equipped with BullSequana X2415 blades, utilizing NVIDIAs next-generation graphics processing unit architecture, the NVIDIA A100 Tensor Core GPU, and is supported byAtos Codex AI Suite, the most comprehensive AI software suite on the market. This will provide advanced GPU computing and AI capability to enable ECMWF researchers to speed-up processing times on the most complex data, enabling them to gain insights faster, using the power of deep learning and analytics.

The Center of Excellence will also have access to Atos Quantum Learning Machine (QLM), the most advanced Quantum Computing Simulator available today, to explore how quantum computing may impact weather and climate prediction in the future. The Center will also be supported by expert staff from AMD, Mellanox, Nvidia and DDN, allowing it to explore accelerated computing techniques as well as issues related to storage and data access.

sources: Atos and ECMWF

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Atos and ECMWF Launch Center of Excellence in Weather and Climate Modelling with HPC, AI and Quantum - insideHPC

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Quantum Software Market to Eyewitness Massive Growth by 2028: Origin Quantum Computing Technology, D Wave, IBM - The Daily Chronicle

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Quantum Computing Market Potential Growth, Size, Share, Demand and Analysis of Key Players Research Forecasts to 2027 - The Daily Chronicle

(Image by Gerd Altmann from Pixabay )

Moore's Law may not be sufficient when it comes to processing power. Some believe that computers are not getting faster fast enough for the emerging tasks that are expected of them, whether it's crunching vast data sets or looking for probabilistic connections within much smaller ones.

In areas such as drug discovery, particle physics, genomics, and materials research, quantum computing is increasingly proposed as a better model for the IT industry, alongside related quantum technologies such as timing, imaging, sensing, communications, and security. Yet all these are hard tech, which demands patient capital: long-term, speculative investment coupled with an appetite for risk and uncertain reward.

There are three key challenges facing all quantum innovators:

Canada isn't the first country that springs to mind as a potential leader in this space alongside the likes of the US, China, and the UK, but Toronto-based 2016 startup Xanadu aims to change that. It has launched what it claims is the world's first photonics-based quantum computing platform available commercially in the cloud.

According to an announcement from the company, the Xanadu Quantum Cloud currently gives developers access to eight- and 12-qubit processors, and soon a 24-qubit machine. As a photon- (light) based system for quantum calculations - as opposed to superconductor or ion-trap systems - these processors can operate at room temperature and could potentially integrate more easily with fibre-optic based telecommunications.

To date, Xanadu has raised $45 million from investors, alongside grants from the Defense Advanced Research Projects Agency (DARPA). Developers can already access its open-source tools Strawberry Fields and Penny Lane on GitHub, revealing a Beatles fan in its leader. That may suggest global ambitions.

So does the company plan to become a huge private fiefdom, like the Xanadu in Citizen Kane? Has a new computing Kublai Khan emerged to found a quantum dynasty? I spoke to founder and CEO Christian Weedbrook to find out.

First, is Xanadu a true quantum system, or merely using quantum elements to speed up processing within classical systems? He says:

It's the world's first photonics-based quantum computing cloud platform and we are truly excited about it. Every other cloud platform essentially uses electronics. Instead of photonics they use electrons - matter - and they have a very different approach to scaling up to a fully functioning, fault-tolerant quantum computer.

We decided to take a unique, alternative approach using light. One of the biggest advantages is the extremely low amounts of power that are needed to run these devices. We're leveraging the weird properties of quantum physics to do things that traditional computers, classical computers, would never be able to do. Or they could do it but it would take them hundreds of years.

A familiar message in terms of the time-saving element. But when it comes to commercialising it, is quantum computing a solution in search of a problem, or has Xanadu identified specific opportunities? Weedbrook says:

The world can always use more computing power. One way to think about the quantum computing landscape at the moment is you can break it up into two lines. The first is what we can do in the next three to five years with qubits that are noisy and don't have that fault tolerance or error correction. And the second is what can we do after that with a fully functioning, fault-tolerant quantum computer. But that's a very difficult machine to build.

In the near term, what differentiates Xanadu using a photonics-based approach is the things that we can do now, which have business applications - network planning, logistics, things of that nature.

Our plan is to get early adopters that we can build an ecosystem around: government labs in the US and here in Canada, financial institutions, large corporations - pharma and materials design are classic examples - and logistics. All these industries have problems that get more and more difficult, that don't scale well, so you need a quantum computer to help solve them. We have paying customers already on the platform.

What's remarkable in the last couple of years is that large corporations and banks such as Goldman Sachs have been forming small quantum computing teams, because they don't want to get left behind. But it's a unique skill set that only a few people in the world currently understand.

Indeed, some have suggested that is a concern. When technology becomes too abstract for most people to comprehend, then transparency and auditing are difficult. Who could explain or justify decisions made by quantum neural nets, for example?

That's a valid criticism. We have to be careful, particularly with a technology that may be the missing link to a singularity event. I don't think ethics and quantum computing should just be presented to you. It's something that the whole community should be converging on thinking about. But building a quantum computer that's fault tolerant - the end game - is extremely hard. It's not going to be built tomorrow, which gives us some time.

Does he see quantum computing as a distinct alternative to the classical world, an evolution of it, or simply a component for solving specific problems?

First, it's a safe bet that it will complement traditional computing whatever happens, in the same way that GPUs complement CPUs, or special-purpose chips complement other types. A computer will naturally access the CPU or the quantum processor when each is needed.

This is a personal view, but more and more I'm leaning towards quantum computing replacing old' computing. One reason is that, if you look at our photon-based approach, roughly speaking you can press a button and make this computer classical by making qubits act like normal bits of information. If quantum computing can infiltrate all computers, then you can just simulate a traditional computer, which means there is an opportunity to really take over all of the computing industry - up to a point.

The company's global ambitions seem evident. But until then, physics and history combine to pose some tricky problems. For example, putting a quantum computer in the cloud could put a brake on its power, given the slow speeds, latency, and poor reliability of some broadband infrastructures.

Yes, with quantum cloud quantum providers you do see that slowdown in retrieving the asset. I would say that there are some solutions to that, such as a hybrid system where you actually have a quantum chip on premise alongside AWS or Azure, for example.

But the ultimate goal is to have a quantum computer that can solve problems that a classical computer could never do, or would take thousands of years to solve. So slowing something down by an hour versus a thousand years is irrelevant. As you're scaling up and getting more powerful quantum computers through fault tolerance and error correction, any slowdown is going to be negligible compared to the size of the problem solving.

Are real applications emerging yet for such systems?

A lot of applications have been inspired by what's been done classically, and the thinking has been how do we make them quantum. But I think the true revolution will be in thinking about it from the quantum side of things. There's an analogy here with the PC revolution: people didn't really know what applications would be useful, there was no idea about the internet. I think there'll be something similar for quantum: we really don't know the full extent of what a quantum computer can do.

With a team that now numbers 58 - many of whom have PhDs - what drives Weedbrook and his colleagues: the academic research glory of pushing back the boundaries of human knowledge? Or something more commercially focused - given those Beatles allusions and the name itself, Xanadu? Both speak of lofty ambition...

I think often you see with startups, it's a clich to really want to solve huge, world-changing problems. Our mission statement has a hint of that, but to be honest it's too much of a clich now to really believe it. So, our mission statement is to make quantum computers, make them useful, and available to people everywhere.

It's how do you start in helping customers solve problems - like in drug discovery. How do you find the best candidates significantly faster in order to synthesise them? That problem's not going to change. So how best to solve it?

This may be correlated with the fact that we're working on subatomic particles, but it's in very small systems that you make real change in the world. The common examples are helping with global warming, curing cancer by identifying drugs, these are really important problems for humanity.

But taking a different approach, how do you stay excited on an individual, personal level each day? That gives you the best chance of solving truly important problems.

According to the 80s song, Xanadu is the place where "a million lights are dancing". That's photons for you. And it turns out it's not in China, but Toronto.

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Quantum computing in the cloud - Xanadu discovered in Toronto - Diginomica

Editors note: Stephanie Long is Senior Analyst with Technology Business Research.

HAMPTON, N.H. Like IBM did with its Selectric typewriters in the 1960s, the company is successfully weaving its quantum computing thread through myriad aspects of the greater quantum ecosystem, underpinned by strategic sponsorships and the inclusion of partners in the IBM Quantum Experience.

Amazon Web Services (AWS) is pushing back on this approach by offering a vendor-agnostic view of quantum cloud computing.

Academia has also thrown its hat into the ring with ongoing innovation and advancements in quantum computing.

The competitive landscape of quantum computing has begun to take on the look and feel of the early classical computing world; however, the modern industry has addressed the mistakes made with classical computing, and therefore progress can be more formulaic and swift.

August 2020 developments are starting to tie pieces of investments together to show a glimpse of when the post-quantum world may come, and as advancements continue the future state appears closer on the horizon than previously thought.

Duke joins $115M program to focus on development of quantum computing

If you would like more detailed information around the quantum computing market, please inquire about TBRsQuantum Computing Market Landscape,a semiannual deep dive into the quantum computing market. Our most recent version, which focused on services, was released in June. Look for our next iteration in December, focused on middleware.

(C) TBR

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What's the state of quantum computing? Led by IBM & Amazon it's developing rapidly - WRAL Tech Wire