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A quantum of possibilities The business advantages of taking the quantum leap ibm.com/ibmcai | ibmcai.com

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A quantum of possibilitiesThe business advantages of taking the quantum leap

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A quantum of possibilities: The business advantages of taking the quantum leap

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Quantum computers promise exponential leaps in speed and power to accelerate innovation and solve problems that are unsolvable today.

Harnessing such capabilities would provide extraordinary business advantages in areas as diverse as pharmaceuticals, encryption and weather forecasting.

And the wait may be shorter than you think.

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A quantum of possibilities: The business advantages of taking the quantum leap

The new horizon The pace of technological innovation in computing has been astonishing, triggering an equally stunning rise in the volume and complexity of challenges that test the limits of today’s computers. But the parade of innovations that have produced ever-faster and more powerful computer chips is in danger of falling behind. The laws of both physics and economics threaten the progression of Moore’s Law.

As scientists and engineers explore alternatives to conventional computers, one field in particular stands above the others—both in terms of its potential and for its extraordinary difficulty: quantum computing.

About the study

To learn about the potential impact of quantum computers, the IBM Center for Applied Insights interviewed experts in the field to learn about the latest breakthroughs in quantum computing and the business benefit across applications and industries.

About the IBM Center for Applied Insights

ibm.com/ibmcai | ibmcai.com

The IBM Center for Applied Insights introduces new ways of thinking, working and leading. Through evidence-based research, the Center arms leaders with pragmatic guidance and the case for change.

Quantum computers promise exponential increases in speed and power over today’s classical computers, and they have the potential to impact problems on a global scale. The possibili-ties of solving what is today unsolvable are significant for businesses and for the planet.

Around the world, large companies and governments have already started investing billions of dollars into quantum research in a race to seek corporate value and regional advantage.

Gordon Moore predicts the end of his eponymous Moore’s Law by 2025.1

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Quantum computers won’t just be faster. They’ll tackle what’s impossible today.

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When will we get there? To many, quantum computers are still a figment of science fiction—as far off and fanciful as fusion energy. But quantum computing won’t be a finish-line type of achievement. It will happen in many steps. And in some ways, we’ve already crossed the threshold.

Although quantum computers don’t yet exist in a fully realized form and existing systems are often less powerful than a pocket calculator, some quantum capabilities have already been achieved.

Such capabilities have emerged in areas ranging from quantum simulators and quantum cryptography apparatus to computers that use the general rules of quantum mechanics. As well, permutations of hybrid quantum computers, based on existing silicon-based computers, and the unveiling of a new quantum bit circuit that may allow quantum computers to scale out to larger dimensions are all steps forward. Additional capabilities are a matter of time.

With the topic of quantum computing gaining in public awareness, a single breakthrough would likely attract involve-ment from disparate fields and organizations. Already, we’ve reached a critical mass of researchers and institutions around the world, as well as corporate R&D. With startups and venture capitalists getting into the game, the momentum is building to move from hype to reality.

To learn about quantum computing’s potential and the impact it could have on business and industries, we talked to a group of leading experts in the field. While the optimists among them foresee a full-blown, commercially available quantum computer within 10 to 20 years, others expect a much longer wait. But many agree that it won’t be all or nothing.

speed

Solving the unsolvable

power

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A quantum of possibilities: The business advantages of taking the quantum leap

The quantum advantageToday’s computers use “bits” that represent data as either 0s or 1s. Quantum bits or “qubits” on the other hand can represent both 0 and 1—or much more—at the same time. By harnessing quantum superpositioning to represent multiple states simultaneously, quantum-based computers promise exponential leaps in performance over today’s classical computers.

Some of the advantages are obvious: speed to handle process-intensive workloads and the power to scale out depending on business need. But the real differentiator is that these benefits compound quantum’s true strength—an entirely new way to tackle problems.

Speed and power “ An analogy is the way people think about big data today. If you go back 30 years ago, people didn’t imagine having the amount of data we are gathering today. Quantum computers will open not only a higher processing speed but also applications that we never thought about before.” — Ray Laflamme, University of Waterloo

A new way to solve problems “ The idea is not just to build faster computers, but also to use a quantum advantage to exploit different quantum algorithms that have completely different scaling. So speed—in the end—simply translates to being able to do a much, much larger scale of problem.” — Peter Zoller, University of Innsbruck

Spurring innovation “ Every day, we see a new technology coming out.

Once a quantum device is available, tens of thou-sands of people around the world will brush up on quantum computing, and the innovation engine will be unleashed.”

— Alan Aspuru-Guzik, Harvard University

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Impact on applications and industriesQuantum scientists are cautious about making projections, but they have big hopes for the technology and agree that certain areas will be affected sooner than others. Materials science, optimization and cryptography are likely to benefit the most—and the soonest—from quantum computing. Additional areas such as big data, machine learning and how we predict weather could also benefit from the quantum advantage.

Quantum computing could impact industries far beyond the obvious, reaching virtually any area where computing speed and power are critical—from pharmaceutical and financial services to travel and transportation.

Cryptography “ The potential impact is enormous. Everything we

are encrypting today that is stored somewhere will be decrypted by quantum computers when we have them.”

— Ray Laflamme, University of Waterloo

Optimization “ There will potentially be a big impact on optimization

problems in bioinformatics, such as gene sequence alignment, metabolic networks and other areas from quantum devices. This also, of course, means business opportunities.”

— Alan Aspuru-Guzik, Harvard University

Measurement “ A role for quantum technology could be in metrology for the problem of sensing and measuring accurately very small quantities of things or very minute amounts of energy. That’s a promising area where there could be commercial development on the early end of the scale, earlier than 10 years.” — David DiVincenzo, Aachen University

Chemistry “ It’s going to be a disruptive paradigm shift the

moment we are able to actually perform meaningful quantum chemistry simulations with a quantum computer. Because in that moment, quantum computing becomes a predictive tool for chemistry.”— Alan Aspuru-Guzik, Harvard University

Materials science “ If we improve materials science, that would affect

many industries. Also there are technologies related to quantum computing, like sensing or better clocks, that could be practically useful.” — Aram Harrow, MIT

Social buzz around quantum computing has increased nearly 40% over the past year.

— Based on social listening for quantum computing terms across blogs, forums, news and Twitter from November 2014 through October 2015.

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Impact on applications and industries

Cryptography

Weatherservices

Optimization

Machine learning

Big data

Measurement

Chemistry

Materials science

PHARMACEUTICALe.g. Develop new drugs and treatments

TELECOMMUNICATIONSe.g. Enable secure communications across networks

MANUFACTURING & INDUSTRIALe.g. Develop new materials and processes

GOVERNMENTe.g. Support deep cryptoanalysis of critical data

TRAVEL &TRANSPORTATIONe.g. Design new vehicles and transport systems

FINANCIAL SERVICESe.g. Predict market trends and risks

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Overcoming economic and technical hurdlesOne of the most overlooked aspects of Moore’s Law is the economic component. Moore predicted not only that the number of transistors on a chip would double every two years, but also that they would do so for the same cost—making transistors continually cheaper. It’s this economic aspect that is under the greatest threat of collapse. If the cost of producing smaller transistors makes them more expensive, then the entire model becomes unsustainable.

Similarly, the viability of quantum computers will depend as much on cost as it will on research breakthroughs—both the cost of producing feasible prototypes and the cost versus return calculations for organizations that want to implement these innovations.

Commercial viability “ Will we be able to get a device working in the way

that we are dreaming of? Small-scale quantum computers do exist. We know how to solve academic problems. Many things exist in a lab. But the step to industry is something that’s completely different. At the end, you need a product that you’re able to sell to a certain market.” — Peter Zoller, University of Innsbruck

Economic value “ It’s probably going to come down to an economic

question. ‘Will we build it?’ in part depends on the level of effort we make to build it. And how much effort we invest depends on the perceived economic value.” — Aram Harrow, MIT

A new quantum bit circuit design from IBM Research that could advance the development of a practical quantum computer.

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Nurture new skills and roles

A shortage of skills is no small challenge for any technology adoption. Current fields such as cybersecurity and enterprise cloud face persistent shortfalls in engineering talent.

Quantum computing will likely be no different. Once the technical and economic challenges of quantum computers are overcome, the third greatest obstacle will be finding people to design, build, manage and operate these new machines.

Entirely new roles will emerge around necessary skillsets, not only variations of quantum scientists and engineers, but also managers and even entrepreneurs.

Even if quantum computing follows a cloud-like model where processing power is tapped on demand for specific workloads, the demand for quantum generalists would increase dramatically.

Preparing for a quantum futureAnticipating their arrival, what can the business and academic communities do to ensure that we’re ready to understand, use and assimilate quantum computers?

Nurture new skills and roles

Expand quantum computing

education programs

Increase open innovation between

academia and business

Quantum engineers “ Engineers have this really important role of

convincing companies or building new companies that will create wealth out of quantum ideas and develop them into quantum technologies.”

— Ray Laflamme, University of Waterloo

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Increase open innovation between academia and business

Reaching across disciplines will also require collaboration at the institutional level—between business, government and academia—with expertise from multiple camps mixing to accelerate quantum innovation, finance projects and encourage adoption.

Just as development of the Internet benefited from early emphasis on openness, the current state of quantum research is characterized by a culture of cooperation.

Expand quantum computing education programs

The multi-disciplinary demands of working in quantum computing will require that universities take a leading role in training for these new roles—training that transcends departmental silos to encompass physics, engineering, business and computer science.

Academic institutions will also need to create new programs to feed the demand for people with these desired skills. As with any specialized training, universities will need to work with potential employers to match skills development with actual opportunities.

Investment in education “ Remember that even the presence of computer

science departments is a relatively recent development in universities. So a quantum science department is something that probably will start springing up in many universities very soon when devices are available.”

— Alan Aspuru-Guzik, Harvard University

Collaboration breeds innovation “ I hope that companies will get involved and try

to do things in a more synchronized way with universities. I’m hoping for a network of companies doing academic research for mutual benefit.”

— Peter Zoller, University of Innsbruck

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Technology and business leaders and the academic community alike know that quantum is a long haul investment. But even the most cautious of quantum scientists share a common view of what we can expect. With the potential to transform capabilities and accelerate innovation across industries, we can approach the future with curiosity and optimism.

Are you ready for quantum?

Think big “ Quantum is a very good example of the rapid progress that we can accomplish if we are ambitious and focused as scientists and as a community. Forget about the business opportunity; think about the opportunity for the planet.”

— Alan Aspuru-Guzik, Harvard University

Stay curious “ Quantum computing and quantum information is really a bright spot. It’s something where we’re making real progress. If it turns out there’s some deep reason why we can’t build it, then that will be even more amazing.”

— Scott Aaronson, MIT

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© Copyright IBM Corporation 2015

IBM Corporation New Orchard Road Armonk, NY 10504

Produced in the United States of America December 2015

IBM, the IBM logo and ibm.com are trademarks of International Business Machines Corporation in the United States, other countries or both. If these and other IBM trademarked terms are marked on their first occurrence in this information with a trademark symbol (® or TM), these symbols indicate U.S. registered or common law trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law trademarks in other countries. Other product, company or service names may be trademarks or service marks of others. A current list of IBM trademarks is available on the web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml

This document is current as of the initial date of publication and may be changed by IBM at any time. Not all offerings are available in every country in which IBM operates.

THE INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS” WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-INFRINGEMENT. IBM products are warranted according to the terms and conditions of the agreements under which they are provided.

About the authors Dario Gil is Vice President, Science and Technology at IBM Research, where he leads a global organization of researchers focused on advancing the frontiers of information technology through the physical sciences. Previously, Dr. Gil was the Director of Symbiotic Cognitive Systems and was also the Founding Director of the Smarter Energy Research Institute. An expert in the field of nanofabrication, he led the team that built the world’s first microprocessor with immersion lithogra-phy in 2004. His research results have appeared in over 20 international journals and conferences and he holds numerous patents. He can be reached at [email protected] and on Twitter @dariogila.

Cynthya Peranandam is Principal Consultant for the IBM Center for Applied Insights, providing data-driven thought leadership to foster strategic conversations. Her recent work includes the 2015 CISO Security study. Previously, she led marketing strategy for IBM’s private cloud solutions. Cynthya has worked with clients across the digital spectrum, and has driven adoption and commercialization of emerging technology through IBM’s early-adopter program. Cynthya can be reached at [email protected] and on Twitter @cperanandam. Also check out her posts on the Center’s blog.

Contributors Jay Gambetta Angie Casey Julie Yamamoto

Acknowledgments We’d like to thank the leading experts who generously shared their time and insights with us:

Scott Aaronson, Associate Professor of Electrical Engineering & Computer Science, MIT

Alan Aspuru-Guzik, Professor of Chemistry, Harvard University

David DiVincenzo, Professor of Physics, Aachen University

Aram Harrow, Assistant Professor of Physics, MIT

Ray Laflamme, Executive Director of the Institute for Quantum Computing, University of Waterloo

Peter Zoller, Professor for Theoretical Physics, Institute for Theoretical Physics, University of Innsbruck; Research Director, Institute for Quantum Optics & Quantum Information, Austrian Academy of Sciences

Notes and sources1 The Economist explains the end of Moore’s law (The Economist, 2015). See http://www.economist.com/blogs/economist-explains/2015/04/economist-explains-17

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