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If quantum computers are going to become a commercial thing sometime down the road and theres a lot of money and time going into the effort to make them viable for use by HPC organizations and enterprises its increasingly likely that it will be in combination with classical computers. Essentially the workloads that can be done through quantum computer will run on quantum computers; the rest will stay on high-end classical supercomputers.

The systems will be tightly integrated to not only quickly and efficiently move the applications between them but also to address everything from quantum error correction to calibration control to hybrid algorithms. In many ways it becomes an acceleration issue, which is at the core of Nvidias DNA.

We have the shared perspective of quantum machines at Nvidia and I think with most of the community that quantum is never going to be quantum-only, Tim Costa, director of HPC and quantum at Nvidia, tells The Next Platform. We mean it in two ways. The first is that applications will continue to run large portions of what they do on CPUs as they do today, on GPUs as they do today, for the parts of applications best suited to those. But as quantum processors become more and more capable, some algorithms that can transformatively be accelerated by a quantum processor will move over to a quantum processor. But all these units need to be working together.

Right now, quantum is a research play. Commercialization is coming, though, Costa says. To run a useful quantum computer, the classical computing side needs to be at a petascale level, in part because such a quantum computer will need to be fault-tolerant, which is going to require hundreds of thousands of perfect logical quantum bits, or qubits, Costa says. Also, it will take more than a dozen parameters to calibrate per qubit independently.

Leaders in the field have been turning to AI methods and graph neural networks to do that work, which are obviously very well-suited to accelerate computing, he says. All that is to say that what we need to be able to do is to really couple large-scale GPU-accelerated supercomputing to quantum computing to both accelerate applications in a transformative manner but also to actually run those quantum computers.

At GTC 2023 this week, unveiled DGX Quantum, a system powered by Nvidias AI- and HPC-focused Grace-Hopper Superchip and CUDA Quantum open-source programming model and including startup Quantum Machines OPX+ quantum control platform to work in a quantum-classical environment. The co-designed system more easily connects Nvidias GPUs to a quantum computer to do error correction at extremely high speeds, Nvidia founder and CEO Jensen Huang said during his GTC keynote.

Error correction over a large number of qubits is necessary for recovering data from quantum noise and decoherence, Huang said.

The Grace-Hopper system an integration of Nvidias Grace CPU and Hopper GPU is connected to OPX+ via PCIe interconnect, enabling a sub-microsecond latency between GPUs and quantum processing units (QPUs) on the quantum system. Reducing latency between the classical and quantum systems is key Costa says. Some groups are looking at Ethernet, but the overall roundtrip between the quantum and classical is slower or as fast than whats needed to do quantum error correction, which leaves no time for actual compute, Costa says.

You can move the data back and forth, but youve done nothing with it in time, he says. Not particularly useful. With this system, we were able to get it down to 400 nanoseconds, which is two orders of magnitude better than Ethernet.

Grace-Hopper is about speed and scale, with Nvidia saying it delivers up to 10 times higher performance for complex workloads handling terabytes of data. OPX+ is aimed at accelerating the performance of QPUs and quantum algorithms and, like Grace-Hopper, can be scaled depending on need.

This is scalable in both directions, Costa says. You can add more OPX+ when you have to control more qubits on a larger quantum system [and] you can add more Grace-Hopper nodes in order to scale up your GPU compute. You can also couple this system to your existing and very accelerated supercomputing infrastructure. It can also be that gateway to what youve already built in terms of adding quantum acceleration to your system.

The power needed in the classical computing part of this hybrid environment is important to ensure the quantum computing side can do what it needs to do. The problem of error correction for qubits is complex, but there is a lot of work that needs to be done simply to prepare for the quantum system.

If you have a million qubits and 12 parameters to independently optimize per qubit, thats going to take a heck of a lot of horsepower as well, Costa says. There is that classical compute requirement. I dont know that I think itll be exascale per QPU, that feels pretty large, but it is significant. Its a great opportunity for Nvidia here, which is one of the reasons were chasing it in this collaboration.

Its also important to remember that quantum computers are meant to solve problems that cant be solved now with classical systems, Itamar Sivan, co-founder and CEO of Quantum Machines, tells The Next Platform.

Youre saying, Well, it sounds quite crazy. We need so much classical compute power to just drive a single quantum processor. It sounds unreasonable, Sivan says. But on the other hand, this goes back to what were here to do. Quantum computers are not meant to take problems that were solving today and then solve them faster.

Nvidia also released CUDA Quantum for building quantum applications in C++ and Python that initially went into private release in July 2022 under the name QODA and is now open source. They rebranded it after getting tired of explaining what QODA was, Costa says. Its again for hybrid classical-quantum environments to enable integration and program of QPUs, GPUs, and CPUs in a single system.

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Preparing For Upcoming Hybrid Classical-Quantum Compute - The Next Platform

Today, when researchers set out to design new drugs for diseases like cancer or Alzheimers, they know the process will be slow and sporadic at best. Traditional approaches to scientific research face bottlenecks arising from the process, cost, and complexity of the work, along with the amount of time it takes for classical computers to analyze massive amounts of data.

But what if instead of attempting to discover and design new drugs and medicines using simple binary digits, we could use something that dramatically changes how we analyze data and what can be discovered from it? Something that could bring new therapies and cures much faster to patients in need.

Technological advances lead to conceptual leaps in knowledge and the discovery of previously unimagined new paradigms. Thats one of the promises of quantum computing, a rapidly emerging technology that harnesses the laws of quantum mechanics to explore problems that are too complex for classical computers to solve. Quantum computers hold the potential to run vast simulations to design better drugs and treatments at breathtaking speeds.

When most Americans learn about technologies like quantum computing, they probably assume that it comes from Silicon Valley. After all, were accustomed to innovation taking the form of digital apps and platforms designed by programmers who work in front of a keyboard. That model has produced countless advancements in recent yearsbut it isnt the only way groundbreaking progress can be made.

The truth is that many of our most vital breakthroughs in health and medicine have emerged not from the coasts, but from the heartlandwhere, for more than a century, Cleveland Clinic has stood at the forefront of innovation. From discovering serotonin in the 1940s and pioneering bypass surgery in the 1960s to identifying how the microbiome benefits human health in the past decade, Cleveland Clinic teams of researchers and clinicians have investigated the problems of our patients and innovated solutions.

These discoveries have impacted health care. But they have come with a steep cost: Time. On average, it takes more than 15 years for a scientific discovery in a biomedical research lab to become a tangible therapy or diagnostic test available to patients. Not to mention, this process can take up to $100 million. With emerging technologies such as quantum computing, artificial intelligence, and cloud, we can change this. What once took decades could now be achieved in months and can become more affordable and less time-intensive for research teams.

Thats why IBM is partnering with Cleveland Clinic to introduce the first quantum computer ever deployed on site in the private sectorand the first in the world dedicated to biomedical and health research. Unveiled this week at its permanent home on Cleveland Clinics campus in Ohio, IBM Quantum System One is part of a groundbreaking effort to significantly speed up the pace of scientific breakthroughs.

For researchers at Cleveland Clinic, it means the chance to develop more precise, targeted, and effective medicinesand more accurately predict which patients will encounter life-threatening and chronic diseases.

For people across the country, it means the potential to make major leaps forward in the fight against complex diseasesand a new technology platform that can serve as a model for every region to make breakthroughs of their own.

For Clevelanders and Northeast Ohioans, it means well-paying jobs in cutting-edge fields. It strengthens the citys position as a globally recognized hub of innovation. And it sends a clear message to the nation and the world that the American heartland is a place where the future is being written.

We dont yet know precisely which breakthroughs quantum computing will help us achieveand which medicines, models, vaccines, and therapies they could make possible.

But we do know that by working to dramatically reduce the time it takes to investigate the most complex mysteries of human health, this effort will close the gap between imagination and discoverybetween the impossible and the possible. Quantum and other advanced computing technologies will help us expedite progress toward new treatments and cures for our patients.

We are grateful to the city of Cleveland, the state of Ohio, and all of the local, state, and national leaders who have made this work possible by investing in pioneering research and in our scientific infrastructure.

We are excited to embark on this journey of discoverydelivering more jobs to the heartland, more opportunities to the nation, and more medical breakthroughs to the world.

Serpil Erzurum, M.D., is Cleveland Clinics chief research and academic officer. Daro Gil is IBMs SVP and director of research.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs ofFortune.

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D-Wave Quantum Inc is being warned by the New York Stock Exchange that it no longer complies with the regulations that govern listed businesses because its share price has been sitting under $1 for 30 trading days.

The Notice of Non-Compliance specifically Section 802.01C of the Exchange's Listed Company Manual hit the business's desk on March 15, the quantum company confirmed late yesterday.

This does not mean common stock in D-Wave Quantum will be delisted immediately. The business said it had told the NYSE that it "intends to cure the stock price deficiency and to return to compliance."

In a statement it adds that it has six months following the NYSE notice to "regain compliance" but its stock will need to be priced at higher than at least $1 for a 30-day trading period.

If D-Wave Quantum decides the actions it needs to take require shareholder approval, it'll need to tell the NYSE.

"The company intends to consider available alternatives, including but not limited to a reverse stock split, that are subject to shareholder approval," D-Wave says.

Founded in 1999, D-Wave has built itself around a type of quantum computer called a quantum annealing system but more recently started to develop its own quantum gate tech. It has developed five generations of systems so far. Customers include VM, Lockheed Martin and Accenture.

Revenue for the nine months ended 30 September 2022 was $4.8 million, up 24 percent year-on-year, and it recorded a net loss of $37.9 million versus a net loss of $17.7 million, not helped by surging operating expenses.

D-Wave was listed on the NYSE last year after merging with DPCM Capital, a special purpose acquisition company, and is the second such business trying to build a quantum computer to fall foul of stock market regulations.

Startup Rigetti confirmed in February that it was facing a delisting from the Nasdaq because its share price had fallen below the $1 mark, meaning it too was out of compliance with the rules. Rigetti revealed at the time it was also chopping one in four staff to cut costs and had revised its roadmap. The company will also has until July 24 to get back in compliance. Its stock price was $0.64 yesterday, up from $0.53 on Wednesday last week.

Industry experts believe development of a full-blown quantum computer is still way off in the distance.

"Quantum is a peak hype segment and is likely to remain so for the foreseeable future," Gartner VP analyst for Quantum Technologies, AI Infrastructures, and Supercomputing Chirag Dekate told us in February.

"The quantum segment is also highly fragmented with an estimated 600+ startups and some established companies currently operating in the space. This level of market activity is unusual and unsustainable for a market segment that currently does not deliver business value," he added.

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Inside A Quantum Computer

Were entering the second quantum revolution and marketers need to begin to understand its future implications. The first quantum revolution started 100 years ago in the 1920s with the discoveries of Albert Einstein and others, that lead to innovations like lasers, solar cells, atomic clocks used in GPS, semiconductors, and magnetic resonance imaging (MRI). For decades since, the tremendous potential of quantum in many areas has been largely theoretical, until that past 20 years when a number of critical developments emerged:

- Quantum information processing elements called quibits (quantum bits) began being manufactured.

- Refrigeration equipment was developed that can reach temperatures close to absolute zero (459.67 F), the temperature at which quantum systems are least disturbed by thermal noise. This extremely low temperature is required for quantum computers to do their work, isolated from the surrounding environment.

- Quantum algorithms and computing hardware began to be developed.

- It became possible to link many processor chips to work together, exponentially increasing computing power

Quantum computing involves the transfer and computation of information at the sub-atomic level. According to a January 2023 article Time Magazine as well as other sources, quantum computers can calculate millions of times faster than a personal computer. Quantum is expected to dramatically increase the capabilities of artificial intelligence. It can process many different scenarios simultaneously, to optimize solutions to problems. Vs. todays computer algorithms, quantum algorithms can be trained faster, you can run more hypotheses, and its better at determining correlations from massive amounts of data. Complex problems that would take several years for classical computers to figure out, can be solved in seconds with quantum.

Quantum has the potential to answer questions and open fields of discovery, previously unanswerable and unfathomable. Eduard Vallory, Director General of the Barcelona Institute of Science and Technology (BIST) provided an analogy to the discovery of diseases. Before humans were able to see micro-organisms through a microscope, people didnt know diseases existed because they couldnt see them. The second Quantum revolution is expected to open entirely new areas of understanding because we will be able to see how the previously unseeable and unknowable works.

Victor Canivell, the CEO and co-founder of Qilimanjaro, the red-hot quantum start-up spun out of the world-renowned Barcelona Super Computer Center, the Institute for High Energy Physics (IFAE), and the University of Barcelona, shared another great reference for understanding what Quantum can do... trying to find your way out of out of a labyrinth. Presently, the only option would be following each pathway separately, until you find an exit. With quantum, you have an aerial view and can see all the potential pathways simultaneously. Somewhat analogous to Apple, Qilimanjaro is vertically integrated to include both hardware and algorithm design which helps them ensure smooth functioning between the two. Few start-ups in the space are vertically integrated in this way.

The World Economic Forum, estimated global public spending on quantum technology was $30 billion in 2022, with China making up approximately half, the European Union almost another quarter, and the remaining quarter spread primarily among nine countries, including the US, Canada, Japan, the UK, Singapore and Israel. In terms of private investment, the US and EU lead, with 59 and 53 quantum computing startups respectively. There were only two startups in all of South America, and none in Africa.

More and more governments, companies, and sectors around the world are viewing Quantum as a necessity for cyber security. Because quantum computers can check millions of options simultaneously with incredible speed, they are ideal for hacking. While the most obvious practical applications for quantum computing may not include Marketing, the competitive advantages quantum can bring organizations will have a huge impact on product and service features and attributes, and marketing claims for competitive advantage.

I spent the past few weeks speaking to the most brilliant people I could find in Spain, a leader in quantum computing in Europe. Spain, like other supercomputing eco-systems wants to be a leader in the emerging quantum growth sector because its an outstanding way to boost their economy and because of quantums massive potential to disrupt nearly every industry. To quote Gonzalo de la Torre, Global Head of Data & Analytics - IKEA for Business, Group Digital, who holds a PhD in quantum physics and is based in Madrid, I cant envision a world in which quantum wont change everything.

Albert Solana, Business Development Manager, Qilimanjaro

My guide and scientific translator for quantum immersion was Albert Solana, Business Developer Manager of Qilimanjaro, the firm that was just selected to assemble a new quantum computer that will be one of the worlds most powerful and the first in Southern Europe. It will be housed at the Barcelona Super Computing Center. Qilimanjaro is a spin-off started in 2020 from 3 Spanish technological centers. Alberts multi-disciplinary route to this fascinating role began when he studied and later worked in computer engineering. From there he pursued an MBA at ESADE Business School. Post MBA, Albert worked for a digital ad agency, then at a block chain start-up, and during COVID, he pursued a post-graduate degree in Quantum Engineering at UPC from Barcelona, with top professors from UAB, UB, and the world-reknown ICFO photonics research institution.

With knowledge of quantum, data analytics, computer engineering, cryptography, and marketing, I cant imagine anyone better to explain why nearly all functional groups in organizations need to get quantum ready. Here are 9 potential use cases for business applications with relevance for marketers. All involve problems for which a tremendous amount of data must be collected and processed.

1) Dynamic Pricing Optimization

The brilliant head of Repsols (Spains Largest Multinational Energy Company) quantum application efforts, Ricardo Enriquez, lists part of his LinkedIn title as Quantum Computing Optimist. Among all the ways Ricardo explained that Repsol and its customers can benefit from quantum, one stood out for me. In the future, technology will enable consumers to collect and save energy at the individual level from their solar panels and bio waste, and then sell the excess they capture back to energy companies and municipal power grids. Massive amounts of data will be required to optimize the pricing dynamically, by time of day, season, and location.

2) Utility And Companies Optimizing Operating Costs, Run Time and Energy Consumption

Complex optimization problems exist in many industries. The current general way of solving these problems requires heavy computations in large data centers that require a lot of energy consumption and dont reach an exact solution since approximations must be made to shorten the computing time. Quantum computing solutions are expected to be much faster, more accurate, cost-effective, and efficient in energy consumption, with so much computational power is compressed in processors that can be as small as an atom.

3) Product Development: Materials, Pharma, Medical, Chemical Companies, And Others

It will be far easier and quicker to conduct trial and error experiments among millions of compounds and analyze immense databases of medical treatment outcomes. Graphene, the material developed through quantum computing, is considered the strongest, most flexible and most conductive material. Its currently being used in products including tennis racquets, helmets, bikes, headphones, and light bulbs. Boeing is working to develop thedeveloping next generation materials for airplanes together with IBMs quantum teams. Quantum helps firms simultaneously evaluate and optimize multiple product features and attributes for new product development. It will accelerate finding new potential drugs by doing faster simulations at the molecular level.

4) Sustainability: According to Gema Garca Gonzalez, Director of Corporate Venturing, Open Innovation, and Technology Business Development at Repsol, who is working on proof-of-concept testing with Qilimanjaro, Repsol believes the partnership will accelerate getting solutions to market focused on decarbonization and help reach the companys goal of zero net carbon emissions by 2050.

5) Competitive Marketing Claims About Data Security

Banks, cloud computing companies like IBM and Salesforce, e-commerce players like Amazon, and social media companies process and store lots of data. Having the most secure data storage is a competitive advantage. At the February 2023 Mobile World Congress, IBMs booth featured the claim Were charting the roadmap for quantum-safe networks that protect user data.

6) Finance: Portfolio Optimization And Foreign Exchange Trading Profits:

Investment banking firm objectives are to improve the portfolio growth rates for clients and minimize downside risks. Quantum computing can significantly help in these areas and lead to marketing superiority claims.

7) Supply Chain, Warehousing, Logistics & Last Mile Delivery

Examples in the logistics sector include commercial distribution, airline route optimization, and efficiently packing containers on ships. Quantum can lower costs and energy through more efficient routing, and also improve customer service, and speed to market, resulting in performance advantages that can impact marketing claims.

8) Reducing Airline No Shows: Vueling, a subsidiary of International Airlines Group that includes British Airlines and Iberia, recently concluded a study to better understand and predict customer no-shows, so occurrences can be reduced. The quantum proof-of-concept findings proved statistically more accurate, nuanced, and helpful vs. results derived from classical computing (computing as we currently know it).

9) Digital Marketing And Marketing Mix Modeling Optimization

Marketing Mix Modeling optimization, like any other optimization problem, will likely eventually be solved by quantum computers. There will also likely be uses for quantum computers focussed on ad servers, applying the most efficient quantum algorithms to improve ad bidding processes.

While Quantum technology isnt completely ready, many companies are engaging in proof-of-concept tests with start-ups like Qilimanjaro to compare the speed, cost savings, and other benefits generated by quantum advances. Companies in functions and sectors including energy, retail, telecommunications, financial services, pharmaceuticals, chemicals, the postal service, sustainability, supply chain, logistics, transportation, last mile delivery, defense, cybersecurity, and materials are starting to experiment with Quantum.

Initiatives like Quantum Spain are finding success, synergy, and accelerating progress by bringing government support, academic institutions with cutting edge research and talent education, start-ups, and big business together in a mutually inspiring, learning eco-system.

Key Take-Aways For CMOs

1) Investigate quantum efforts that your company may have already started. Marketers are not always aware of them.

2) Think about the biggest pain points on your customers journeys and where there is significant data that might be analyzed to find quantum-based solutions.

3) Identify potential marketing and advertising claims that will have the biggest impact on attracting new customers that quantum might uncover or substantiate as a competitive advantage.

4) Try to involve marketing personnel in internal, multi-functional, start-up trial teams to provide perspectives on how quantum can affect the marketing function, and marketing problems identified through consumer insights.

5) Since quantum computing is complicated and challenging for lay people to understand, its critical that quantum leaders within firms be able to communicate in ways that are understandable and actionable for non-scientists.

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Perhaps The Most Disruptive Technology In History Is Coming And It's Expected To Change Everything. Businesses ... - Forbes

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CLEVELAND and ARMONK, N.Y. Today, Cleveland Clinic and IBM officially unveiled the first deployment of an onsite private sector IBM-managed quantum computer in the United States. The IBM Quantum System One installed at Cleveland Clinic will be the first quantum computer in the world to be uniquely dedicated to healthcare research with an aim to help Cleveland Clinic accelerate biomedical discoveries.

The unveiling comes as a key milestone in Cleveland Clinics and IBMs 10-year Discovery Accelerator partnership, announced in 2021, which is focused on advancing the pace of biomedical research through the use of high-performance computing, artificial intelligence and quantum computing. The system was unveiled at a formal event today featuring leaders from IBM and Cleveland Clinic; Susan Monarez, Ph.D., Deputy Director, Advanced Research Projects Agency for Health (ARPA-H); Congresswoman Shontel Brown (OH-11); Lt. Governor of Ohio Jon Husted; and Mayor of Cleveland Justin M. Bibb.

Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems that todays most powerful supercomputers cannot practically solve. The ability to tap into these new computational spaces could help researchers identify new medicines and treatments more quickly.

This is a pivotal milestone in our innovative partnership with IBM, as we explore new ways to apply the power of quantum computing to healthcare, said Tom Mihaljevic, M.D., Cleveland Clinic CEO and President and Morton L. Mandel CEO Chair. This technology holds tremendous promise in revolutionizing healthcare and expediting progress toward new cares, cures and solutions for patients. Quantum and other advanced computing technologies will help researchers tackle historic scientific bottlenecks and potentially find new treatments for patients with diseases like cancer, Alzheimers and diabetes.

With the unveiling of IBM Quantum System One at Cleveland Clinic, their team of world-class researchers can now explore and uncover new scientific advancements in biomedical research, said Arvind Krishna, IBM Chairman and CEO. By combining the power of quantum computing, artificial intelligence and other next-generation technologies with Cleveland Clinics world-renowned leadership in healthcare and life sciences, we hope to ignite a new era of accelerated discovery.

In addition to quantum computing, the Cleveland Clinic-IBM Discovery Accelerator draws upon a variety of IBMs latest advancements in computing technologies, including high performance computing via the hybrid cloud and artificial intelligence. Researchers from both organizations are collaborating closely on a robust portfolio of projects with these advanced technologies to generate and analyze massive amounts of data to enhance research.

The Cleveland Clinic-IBM Discovery Accelerator has generated multiple projects that leverage the latest in quantum computing, AI and hybrid cloud to help expedite discoveries in biomedical research. These include:

The Discovery Accelerator also serves as the technology foundation for Cleveland Clinics Global Center for Pathogen & Human Health Research, part of the Cleveland Innovation District. The center, supported by a $500 million investment from the State of Ohio, Jobs Ohio and Cleveland Clinic, brings together a team focused on studying, preparing and protecting against emerging pathogens and virus-related diseases. Through the Discovery Accelerator, researchers are leveraging advanced computational technology to expedite critical research into treatments and vaccines.

A significant part of the collaboration is a focus on educating the workforce of the future and creating jobs to grow the economy. An innovative educational curriculum is being designed for participants from high school to the professional level, offering training and certification programs in data science, machine learning and quantum computing to build the skilled workforce needed for cutting-edge computational research of the future.

Additionally, the two organizations are hosting research symposia, seminars and workshops intended for academia, industry, government and the public with a goal of building a critical mass of computing specialists in Cleveland.

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Cleveland Clinic and IBM Unveil First Quantum Computer Dedicated to Healthcare Research - Cleveland Clinic Newsroom