Monthly Archives: January 2020

Accustomed to imagining worst-case scenarios, many cryptography experts are more concerned than usual these days: one of the most widely-used schemes for safely transmitting data is poised to become obsolete once quantum computing reaches a sufficiently advanced state.

The cryptosystem known as RSA provides the safety structure for a host of privacy and communication protocols, from email to internet retail transactions. Current standards rely on the fact that no one has the computing power to test every possible way to de-scramble your data once encrypted, but a mature quantum computer could try every option within a matter of hours.

It should be stressed that quantum computers havent yet hit that level of maturity and wont for some time but when a large, stable device is built (or if its built, as an increasingly diminishing minority argue), its unprecedented ability to factor large numbers would essentially leave the RSA cryptosystem in tatters. Thankfully, the technology is still a ways away and the experts are on it.

Dont panic. Thats what Mike Brown, CTO and co-founder of quantum-focused cryptography company ISARA Corporation, advises anxious prospective clients. The threat is far from imminent. What we hear from the academic community and from companies like IBM and Microsoft is that a 2026-to-2030 timeframe is what we typically use from a planning perspective in terms of getting systems ready, he said.

Cryptographers from ISARA are among several contingents currently taking part in the Post-Quantum Cryptography Standardization project, a contest of quantum-resistant encryption schemes. The aim is to standardize algorithms that can resist attacks levied by large-scale quantum computers. The competition was launched in 2016 by the National Institute of Standards and Technology (NIST), a federal agency that helps establish tech and science guidelines, and is now gearing up for its third round.

Indeed, the level of complexity and stability required of a quantum computer to launch the much-discussed RSA attack is very extreme, according to John Donohue, Scientific Outreach Manager at the University of Waterloos Institute for Quantum Computing. Even granting that timelines in quantum computing particularly in terms of scalability are points of contention, the community is pretty comfortable saying thats not something thats going to happen in the next five to 10 years, he said.

When Google announced that it had achieved quantum supremacy or that it used a quantum computer to run, in minutes, an operation that would take thousands of years to complete on a classical supercomputer that machine operated on 54 qubits, the computational bedrocks of quantum computing. While IBMs Q 53 system operates at a similar level, many current prototypes operate on as few as 20 or even five qubits.

But how many qubits would be needed to crack RSA? Probably on the scale of millions of error-tolerant qubits, Donohue told Built In.

Scott Aaronson, a computer scientist at the University of Texas at Austin, underscored the same last year in his popular blog after presidential candidate Andrew Yang tweeted that no code is uncrackable in the wake of Googles proof-of-concept milestone.

Thats the good news. The bad news is that, while cryptography experts gain more time to keep our data secure from quantum computers, the technologys numerous potential upsides ranging from drug discovery to materials science to financial modeling is also largely forestalled. And that question of error tolerance continues to stand as quantum computings central, Herculean challenge. But before we wrestle with that, lets get a better elemental sense of the technology.

Quantum computers process information in a fundamentally different way than classical computers. Traditional computers operate on binary bits information processed in the form of ones or zeroes. But quantum computers transmit information via quantum bits, or qubits, which can exist either as one or zero or both simultaneously. Thats a simplification, and well explore some nuances below, but that capacity known as superposition lies at the heart of quantums potential for exponentially greater computational power.

Such fundamental complexity both cries out for and resists succinct laymanization. When the New York Times asked ten experts to explain quantum computing in the length of a tweet, some responses raised more questions than they answered:

Microsoft researcher David Reilly:

A quantum machine is a kind of analog calculator that computes by encoding information in the ephemeral waves that comprise light and matter at the nanoscale.

D-Wave Systems executive vice president Alan Baratz:

If were honest, everything we currently know about quantum mechanics cant fully describe how a quantum computer works.

Quantum computing also cries out for a digestible metaphor. Quantum physicist Shohini Ghose, of Wilfrid Laurier University, has likened the difference between quantum and classical computing to light bulbs and candles: The light bulb isnt just a better candle; its something completely different.

Rebecca Krauthamer, CEO of quantum computing consultancy Quantum Thought, compares quantum computing to a crossroads that allows a traveler to take both paths. If youre trying to solve a maze, youd come to your first gate, and you can go either right or left, she said. We have to choose one, but a quantum computer doesnt have to choose one. It can go right and left at the same time.

It can, in a sense, look at these different options simultaneously and then instantly find the most optimal path, she said. That's really powerful.

The most commonly used example of quantum superposition is Schrdingers cat:

Despite its ubiquity, many in the QC field arent so taken with Schrodingers cat. The more interesting fact about superposition rather than the two-things-at-once point of focus is the ability to look at quantum states in multiple ways, and ask it different questions, said Donohue. That is, rather than having to perform tasks sequentially, like a traditional computer, quantum computers can run vast numbers of parallel computations.

Part of Donohues professional charge is clarifying quantums nuances, so its worth quoting him here at length:

In superposition I can have state A and state B. I can ask my quantum state, are you A or B? And it will tell me, I'm a or I'm B. But I might have a superposition of A + B in which case, when I ask it, Are you A or B? Itll tell me A or B randomly.

But the key of superposition is that I can also ask the question, Are you in the superposition state of A + B? And then in that case, they'll tell me, Yes, I am the superposition state A + B.

But theres always going to be an opposite superposition. So if its A + B, the opposite superposition is A - B.

Thats about as simplified as we can get before trotting out equations. But the top-line takeaway is that that superposition is what lets a quantum computer try all paths at once.

Thats not to say that such unprecedented computational heft will displace or render moot classical computers. One thing that we can really agree on in the community is that it wont solve every type of problem that we run into, said Krauthamer.

But quantum computing is particularly well suited for certain kinds of challenges. Those include probability problems, optimization (what is, say, the best possible travel route?) and the incredible challenge of molecular simulation for use cases like drug development and materials discovery.

The cocktail of hype and complexity has a way of fuzzing outsiders conception of quantum computing which makes this point worth underlining: quantum computers exist, and they are being used right now.

They are not, however, presently solving climate change, turbocharging financial forecasting probabilities or performing other similarly lofty tasks that get bandied about in reference to quantum computings potential. QC may have commercial applications related to those challenges, which well explore further below, but thats well down the road.

Today, were still in whats known as the NISQ era Noisy, Intermediate-Scale Quantum. In a nutshell, quantum noise makes such computers incredibly difficult to stabilize. As such, NISQ computers cant be trusted to make decisions of major commercial consequence, which means theyre currently used primarily for research and education.

The technology just isnt quite there yet to provide a computational advantage over what could be done with other methods of computation at the moment, said Dohonue. Most [commercial] interest is from a long-term perspective. [Companies] are getting used to the technology so that when it does catch up and that timeline is a subject of fierce debate theyre ready for it.

Also, its fun to sit next to the cool kids. Lets be frank. Its good PR for them, too, said Donohue.

But NISQ computers R&D practicality is demonstrable, if decidedly small-scale. Donohue cites the molecular modeling of lithium hydrogen. Thats a small enough molecule that it can also be simulated using a supercomputer, but the quantum simulation provides an important opportunity to check our answers after a classical-computer simulation. NISQs have also delivered some results for problems in high-energy particle physics, Donohue noted.

One breakthrough came in 2017, when researchers at IBM modeled beryllium hydride, the largest molecule simulated on a quantum computer to date. Another key step arrived in 2019, when IonQ researchers used quantum computing to go bigger still, by simulating a water molecule.

These are generally still small problems that can be checked using classical simulation methods. But its building toward things that will be difficult to check without actually building a large particle physics experiment, which can get very expensive, Donohue said.

And curious minds can get their hands dirty right now. Users can operate small-scale quantum processors via the cloud through IBMs online Q Experience and its open-source software Quiskit. Late last year, Microsoft and Amazon both announced similar platforms, dubbed Azure Quantum and Braket. Thats one of the cool things about quantum computing today, said Krauthamer. We can all get on and play with it.

RelatedQuantum Computing and the Gaming Industry

Quantum computing may still be in its fussy, uncooperative stage, but that hasnt stopped commercial interests from diving in.

IBM announced at the recent Consumer Electronics Show that its so-called Q Network had expanded to more than 100 companies and organizations. Partners now range from Delta Air Lines to Anthem health to Daimler AG, which owns Mercedes-Benz.

Some of those partnerships hinge on quantum computings aforementioned promise in terms of molecular simulation. Daimler, for instance, is hoping the technology will one day yield a way to produce better batteries for electric vehicles.

Elsewhere, partnerships between quantum computing startups and leading companies in the pharmaceutical industry like those established between 1QBit and Biogen, and ProteinQure and AstraZeneca point to quantum molecular modelings drug-discovery promise, distant though it remains. (Today, drug development is done through expensive, relatively low-yield trial-and-error.)

Researchers would need millions of qubits to compute the chemical properties of a novel substance, noted theoretical physicist Sabine Hossenfelder in the Guardian last year. But the conceptual underpinning, at least, is there. A quantum computer knows quantum mechanics already, so I can essentially program in how another quantum system would work and use that to echo the other one, explained Donohue.

Theres also hope that large-scale quantum computers will help accelerate AI, and vice versa although experts disagree on this point. The reason theres controversy is, things have to be redesigned in a quantum world, said Krauthamer, who considers herself an AI-quantum optimist. We cant just translate algorithms from regular computers to quantum computers because the rules are completely different, at the most elemental level.

Some believe quantum computers can help combat climate change by improving carbon capture. Jeremy OBrien, CEO of Palo Alto-based PsiQuantum, wrote last year that quantum simulation of larger molecules if achieved could help build a catalyst for scrubbing carbon dioxide directly from the atmosphere.

Long-term applications tend to dominate headlines, but they also lead us back to quantum computings defining hurdle and the reason coverage remains littered with terms like potential and promise: error correction.

Qubits, it turns out, are higher maintenance than even the most meltdown-prone rock star. Any number of simple actions or variables can send error-prone qubits falling into decoherence, or the loss of a quantum state (mainly that all-important superposition). Things that can cause a quantum computer to crash include measuring qubits and running operations in other words: using it. Even small vibrations and temperature shifts will cause qubits to decohere, too.

Thats why quantum computers are kept isolated, and the ones that run on superconducting circuits the most prominent method, favored by Google and IBM have to be kept at near-absolute zero (a cool -460 degrees Fahrenheit).

Thechallenge is two-fold, according to Jonathan Carter, a scientist at Berkeley Quantum. First, individual physical qubits need to have better fidelity. That would conceivably happen either through better engineering, discovering optimal circuit layout, and finding the optimal combination of components. Second, we have to arrange them to form logical qubits.

Estimates range from hundreds to thousands to tens of thousands of physical qubits required to form one fault-tolerant qubit. I think its safe to say that none of the technology we have at the moment could scale out to those levels, Carter said.

From there, researchers would also have to build ever-more complex systems to handle the increase in qubit fidelity and numbers. So how long will it take until hardware-makers actually achieve the necessary error correction to make quantum computers commercially viable?

Some of these other barriers make it hard to say yes to a five- or 10-year timeline, Carter said.

Donohue invokes and rejects the same figure. Even the optimist wouldnt say its going to happen in the next five to 10 years, he said. At the same time, some small optimization problems, specifically in terms of random number generation could happen very soon.

Weve already seen some useful things in that regard, he said.

For people like Michael Biercuk, founder of quantum-engineering software company Q-CTRL, the only technical commercial milestone that matters now is quantum advantage or, as he uses the term, when a quantum computer provides some time or cost advantage over a classical computer. Count him among the optimists: he foresees a five-to-eight year time scale to achieve such a goal.

Another open question: Which method of quantum computing will become standard? While superconducting has borne the most fruit so far, researchers are exploring alternative methods that involve trapped ions, quantum annealing or so-called topological qubits. In Donohues view, its not necessarily a question of which technology is better so much as one of finding the best approach for different applications. For instance, superconducting chips naturally dovetail with the magnetic field technology that underpins neuroimaging.

The challenges that quantum computing faces, however, arent strictly hardware-related. The magic of quantum computing resides in algorithmic advances, not speed, Greg Kuperberg, a mathematician at the University of California at Davis, is quick to underscore.

If you come up with a new algorithm, for a question that it fits, things can be exponentially faster, he said, using exponential literally, not metaphorically. (There are currently 63 algorithms listed and 420 papers cited at Quantum Algorithm Zoo, an online catalog of quantum algorithms compiled by Microsoft quantum researcher Scott Jordan.)

Another roadblock, according to Krauthamer, is general lack of expertise. Theres just not enough people working at the software level or at the algorithmic level in the field, she said. Tech entrepreneur Jack Hidaritys team set out to count the number of people working in quantum computing and found only about 800 to 850 people, according to Krauthamer. Thats a bigger problem to focus on, even more than the hardware, she said. Because the people will bring that innovation.

While the community underscores the importance of outreach, the term quantum supremacy has itself come under fire. In our view, supremacy has overtones of violence, neocolonialism and racism through its association with white supremacy, 13 researchers wrote in Nature late last year. The letter has kickstarted an ongoing conversation among researchers and academics.

But the fields attempt to attract and expand also comes at a time of uncertainty in terms of broader information-sharing.

Quantum computing research is sometimes framed in the same adversarial terms as conversations about trade and other emerging tech that is, U.S. versus China. An oft-cited statistic from patent analytics consultancy Patinformatics states that, in 2018, China filed 492 patents related to quantum technology, compared to just 248 in the United States. That same year, the think tank Center for a New American Security published a paper that warned, China is positioning itself as a powerhouse in quantum science. By the end of 2018, the U.S. passed and signed into law the National Quantum Initiative Act. Many in the field believe legislators were compelled due to Chinas perceived growing advantage.

The initiative has spurred domestic research the Department of Energy recently announced up to $625 million in funding to establish up to five quantum information research centers but the geopolitical tensions give some in the quantum computing community pause, namely for fear of collaboration-chilling regulation. As quantum technology has become prominent in the media, among other places, there has been a desire suddenly among governments to clamp down, said Biercuk, who has warned of poorly crafted and nationalistic export controls in the past.

What they dont understand often is that quantum technology and quantum information in particular really are deep research activities where open transfer of scientific knowledge is essential, he added.

The National Science Foundation one of the government departments given additional funding and directives under the act generally has a positive track record in terms of avoiding draconian security controls, Kuperberg said. Even still, the antagonistic framing tends to obscure the on-the-ground facts. The truth behind the scenes is that, yes, China would like to be doing good research and quantum computing, but a lot of what theyre doing is just scrambling for any kind of output, he said.

Indeed, the majority of the aforementioned Chinese patents are quantum tech, but not quantum computing tech which is where the real promise lies.

The Department of Energy has an internal list of sensitive technologies that it could potentially restrict DOE researchers from sharing with counterparts in China, Russia, Iran and North Korea. It has not yet implemented that curtailment, however, DOE Office of Science director Chris Fall told the House committee on science, space and technology and clarified to Science, in January.

Along with such multi-agency-focused government spending, theres been a tsunami of venture capital directed toward commercial quantum-computing interests in recent years. A Nature analysis found that, in 2017 and 2018, private funding in the industry hit at least $450 million.

Still, funding concerns linger in some corners. Even as Googles quantum supremacy proof of concept has helped heighten excitement among enterprise investors, Biercuk has also flagged the beginnings of a contraction in investment in the sector.

Even as exceptional cases dominate headlines he points to PsiQuantums recent $230 million venture windfall there are lesser-reported signs of struggle. I know of probably four or five smaller shops that started and closed within about 24 months; others were absorbed by larger organizations because they struggled to raise, he said.

At the same time, signs of at least moderate investor agitation and internal turmoil have emerged. The Wall Street Journal reported in January that much-buzzed quantum computing startup Rigetti Computing saw its CTO and COO, among other staff, depart amid concerns that the companys tech wouldnt be commercially viable in a reasonable time frame.

Investor expectations had become inflated in some instances, according to experts. Some very good teams have faced more investor skepticism than I think has been justified This is not six months to mobile application development, Biercuk said.

In Kuperbergs view, part of the problem is that venture capital and quantum computing operate on completely different timelines. Putting venture capital into this in the hope that some profitable thing would arise quickly, that doesnt seem very natural to me in the first place, he said, adding the caveat that he considers the majority of QC money prestige investment rather than strictly ROI-focused.

But some startups themselves may have had some hand in driving financiers over-optimism. I wont name names, but there definitely were some people giving investors outsize expectations, especially when people started coming up with some pieces of hardware, saying that advantages were right around the corner, said Donohe. That very much rubbed the academic community the wrong way.

Scott Aaronson recently called out two prominent startups for what he described as a sort of calculated equivocation. He wrote of a pattern in which a party will speak of a quantum algorithms promise, without asking whether there are any indications that your approach will ever be able to exploit interference of amplitudes to outperform the best classical algorithm.

And, mea culpa, some blame for the hype surely lies with tech media. Trying to crack an area for a lay audience means you inevitably sacrifice some scientific precision, said Biercuk. (Thanks for understanding.)

Its all led to a willingness to serve up a glass of cold water now and again. As Juani Bermejo-Vega, a physicist and researcher at University of Granada in Spain, recently told Wired, the machine on which Google ran its milestone proof of concept is mostly still a useless quantum computer for practical purposes.

Bermejo-Vegas quote came in a story about the emergence of a Twitter account called Quantum Bullshit Detector, which decrees, @artdecider-like, a bullshit or not bullshit quote tweet of various quantum claims. The fact that leading quantum researchers are among the accounts 9,000-plus base of followers would seem to indicate that some weariness exists among the ranks.

But even with the various challenges, cautious optimism seems to characterize much of the industry. For good and ill, Im vocal about maintaining scientific and technical integrity while also being a true optimist about the field and sharing the excitement that I have and to excite others about whats coming, Biercuk said.

This year could prove to be formative in the quest to use quantum computers to solve real-world problems, said Krauthamer. Whenever I talk to people about quantum computing, without fail, they come away really excited. Even the biggest skeptics who say, Oh no, theyre not real. Its not going to happen for a long time.

Related20 Quantum Computing Companies to Know

More here:

What Is Quantum Computing and How Does it Work? - Built In

In recent years, artificial intelligence (AI) has become the talk of the town. No forum seems to be complete without talking about how technology is going to impact the world.

In a conversation with Professor Klaus Schwab, Founder and Executive Chairman of World Economic Forum, Sundar Pichai, CEO of Google and Alphabet shared some valuable insights on the age of AI, the future of the open web, and technology's impact on society at the recently concluded WEF summit at Davos, Switzerland.

While several may argue that technology is negatively impacting the world by taking away jobs and comprising the safety and security of individuals, Pichai calls himself a technology optimist and believes that despite its disadvantages, AI has great potential in reforming the world from climate to healthcare.

Credit: World Economic Forum

Edited excerpt from the interview:

Professor Klaus Schwab (PKS) - Welcome Sundar Pichai. My first question is, you have called yourself a technology optimist, and we hear a lot of concerns about technologies. What makes you an optimist?

Sundar Pichai (SP) - What makes me a technology optimist?I think it's more about how I got introduced to technology. Growing up, I think, I had to wait for a long time before I got my hands on either a telephone or television when it came to our household. I discreetly remember how it changed our lives. TV allowed me access to world news, football, and cricket. So I always had this first-hand experience of how gaining access to technology changes people's lives.

Later on, I was inspired by the One Laptop per Child project, where the school was giving $100 laptops to children. They quite didn't get there. But I think it was a very inspiring goal and made a lot of progress in the industry. Later, we were able to make progress with Android. Each year, millions of people get access to computing for the first time. We do this with low-cost affordable Chromebooks. And seeing the difference it has made in people's lives, it gives me great hope for the path ahead. And more recently with AI, just in the last month, we have seen how it can help doctors better detect breast cancer with more accuracy.

We also launched a better rainfall prediction app. Over time, AI can play a role in climate change. So when you see these examples firsthand, I'm clear-eyed about the risks with technology. But the biggest risk with AI may be failing to work on it and make more progress with it because it can impact billions of people.

PKS - Can you explain what we can expect from quantum computing?

SP - Its an extraordinarily important milestone we achieved last year, something thats known in the field as quantum supremacy. It is when you can take quantum computers and they can do something which classical computers cannot. To me, nature at a fundamental level works in a quantum way. At a subatomic level, things can exist in many different states at the same time. Classical computers work in ones and zeros, so we know that's an imperfect way to simulate nature. Nature works differently. What's exciting about quantum computing and why we are so excited about the possibilities is it will allow us to understand the world more deeply. We can simulate nature better. So that means simulating molecular structures to discover better drugs, understanding the climate more deeply to predict weather patterns and tackle climate change, etc. We can design better batteries, nitrogen fixation the process by which we make the world's fertilisers, and accounts for two percent of carbon emissions. And the processes have not changed for a long time because it's very complicated.

Quantum computers will allow us the hope that we can make that process more efficient. So it's very profound. We've all been dealing in technology with the end of Moore's law. It's revolutionised in the past 40 years, but it's levelled off. So when I look at the future and say how do we drive improvements, quantum will be one of the tools in our arsenal by which we can keep something like Moore's Law continuing to evolve. The potential is huge and we'll have challenges. But in five to 10 years, quantum computing will break encryption as we know it today. But we can work around it. We need to do quantum encryption. There are challenges as always with any evolving technology. But I think the combination of AI and quantum will help us tackle some of the biggest problems we see.

PKS - And also to a certain extent, genetics. I think quantum computing and biology will have great potential positive or negative impacts.

SP - The positive one, as you're saying, rightly is to simulate molecules, protein folding, etc. It's very complex today. We cannot do it with classical computers. So with quantum computers, we can. But we have to be clear about all these powerful technologies. And this is why I think we need to be deliberate and regulate technologies like AI, and as a society, we need to engage in it.

PKS - And this leads me to the next question, actually because in an editorial in the Financial Times, which I read just before the annual meeting, you stated and I quote, Google's whole starts with recognising the need for a principle and regulated approach for applying artificial intelligence. What does it mean?

SP - You know, I've said this before that AI is one of the most profound things we are working on as humanity. It's more profound than fire, electricity, or any of the other bigger things we have worked on. It has tremendous positive sides to it. But it has real negative consequences. When you think about technologies like facial recognition, it can be used to benefit. It can be used to find missing people, but it can (also) be used for mass surveillance. And as democratic countries with a shared set of values, we need to build on those values and make sure when we approach AI we're doing it in a way that serves society. And that means making sure AI doesn't have a bias that we build and test it for safety. We make sure that there is a human agency that is ultimately accountable to people.

About 18 months ago, we published a set of principles under which we would develop as Google. But it's been very encouraging to see the European Commission has identified AI and sustainability as their top priorities. And the US put out a set of principles last week. And, be it the OECD or G20, they're all talking about this, which I think is very encouraging. And I think we need a common framework by which we approach AI.

PKS - How do you see Google in five years from now?

SP - We know we will do well, only if others do well along with us. That's how Google works today through search. We help users reach the information they want including businesses and businesses grow along with search. In the US, last year, we created $335 billion of economic opportunity. And that's true in every country around the world. We think with Alphabet, there's a real chance to take a long-term view and work on technology which can improve people's lives. But we won't do it alone. In many other bets, which we are working on where we can, we take outside investments. These companies are independent, so you can imagine we'll do it in partnerships with other companies. And Alphabet gives us the flexibility to have different structures for different areas in a way we need them to fix healthcare, and we can deeply partner with other companies. Today, we partner with the leading healthcare companies as we work on these efforts.

So we understand for Alphabet to do well, we inherently need to do it in a way that works with other companies, creating an ecosystem around it. This is why last year, just through our venture arm, we invested in over 100 companies. We are just investors in these companies, and they're going to be independent companies. We want them to thrive and succeed. And so, you know, that's the way we think about it. But I think it gives us a real chance to take a long-term view, be it self driving cars or AI.

PKS - So last question. You said you are an optimist. When you wake up at night and you cannot sleep anymore, what worries you at some time?

SP - You were pretty insightful. That is true. Yeah, I do wake up at night. What worries me at night? I think technology has a chance to transform society for the good, but we need to learn to harness it to work for society's good. But I do worry that we turn our backs on technology. And I worry that when people do that they get left behind too. And so to me, how do you do it inclusively? I was in Belgium and I went to MolenGeek, a startup incubator in Molenbeek. In that community, you see people who may not have gone to school, but when you give them access to digital skills, they're hungry for it. People want to learn technology and be a part of it. That's the desire you see around the world when we travel. When I go to emerging markets, it's a big source of opportunity. And so I think it's our duty and responsibility to drive this growth inclusively. And that keeps me up at night.

(Edited by Suman Singh)

See more here:

AI has great potential in transforming the world: Alphabet CEO Sundar Pichai - YourStory

A new research centre with the potential to revolutionise computing, communication, sensing and imaging technologies is set to be launched by the University of Sheffield this week (22 January 2020).

The Sheffield Quantum Centre, which will be officially opened by Lord Jim ONeill, Chair of Chatham House and University of Sheffield alumnus, is bringing together more than 70 of the Universitys leading scientists and engineers to develop new quantum technologies.

Quantum technologies are a broad range of new materials, devices and information technology protocols in physics and engineering. They promise unprecedented capabilities and performance by exploiting phenomena that cannot be explained by classical physics.

Quantum technologies could lead to the development of more secure communications technologies and computers that can solve problems far beyond the capabilities of existing computers.

Research into quantum technologies is a high priority for the UK and many countries around the world. The UK government has invested heavily in quantum research as part of a national programme and has committed 1 billion in funding over 10 years.

Led by the Universitys Department of Physics and Astronomy, Department of Electronic and Electrical Engineering and Department of Computer Science, the Sheffield Quantum Centre will join a group of northern universities that are playing a significant role in the development of quantum technologies.

The University of Sheffield has a strong presence in quantum research with world leading capabilities in crystal growth, nanometre scale device fabrication and device physics research. A spin-out company has already been formed to help commercialise research, with another in preparation.

Professor Maurice Skolnick, Director of the Sheffield Quantum Centre, said: The University of Sheffield already has very considerable strengths in the highly topical area of quantum science and technology. I have strong expectation that the newly formed centre will bring together these diverse strengths to maximise their impact, both internally and more widely across UK universities and funding bodies.

During the opening ceremony, the Sheffield Quantum Centre will also launch its new 2.1 million Quantum Technology Capital equipment.

Funded by the Engineering and Physical Sciences Research Council (EPSRC), the equipment is a molecular beam epitaxy cluster tool designed to grow very high quality wafers of semiconductor materials types of materials that have numerous everyday applications such as in mobile phones and lasers that drive the internet.

The semiconductor materials also have many new quantum applications which researchers are focusing on developing.

Professor Jon Heffernan from the Universitys Department of Electronic and Electrical Engineering, added: The University of Sheffield has a 40-year history of pioneering developments in semiconductor science and technology and is host to the National Epitaxy Facility. With the addition of this new quantum technologies equipment I am confident our new research centre will lead to many new and exciting technological opportunities that can exploit the strange but powerful concepts from quantum science.

Original post:

University of Sheffield launches Quantum centre to develop the technologies of tomorrow - Quantaneo, the Quantum Computing Source

When you learn about a new or upcoming type of technology, youll often realize its not just a single, siloed invention. It will rely on breakthroughs in artificial intelligence, material science, and computing power. And when these technologies build upon each other, they start to accelerate the others, say Xprize founder Peter H. Diamandis and entrepreneur Steven Kotler in their new book, The Future Is Faster than you Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives.

The duo believes the changes will be profound, and discuss the ways in which virtual reality, 3D-printing, quantum computing, and other technologies will shape industries, governments, and the environment in the near future. Digital Trends spoke with Diamandis and Kotler about the book and these converging technologies.

Thy drugs are quick

There are some industries that require waiting and watching. Pharmaceutical development is one of those but Diamandis and Kotler say companies such as Insilico Medicine are using A.I. to speed up the often years-long drug discovery process. For these new treatments to work for the general population, clinical trials are still a necessary and lengthy part of the process. In the future, the effect of new drugs could be more effectively modeled with software before such trials, they say. The hope is that we can model using A.I. and model using quantum computers, said Diamandis. Lab-created organoids tissues derived from stem cells that resemble a patients liver, heart, and so on could also help doctors predict how the body will respond to a drug.

When medicine is ultra-personalized, a clinical trial wont necessarily help. Last year, Mila Makovec received a tailor-made treatment for Batten disease, which damages brain cells and leads to blindness and death. It took about a year to create the drug and administer the first dose. Nothing like thats ever happened, said Kotler of the speed at which the Food and Drug Administration approved the treatment. Thats astounding. Right now, these types of treatments are prohibitively expensive for most people and require an enormous amount of research. Even with fatal diseases, treatments still need to be tested for safety and efficacy before doctors can treat patients with them.

Fantastic flying machines

In the book, Diamandis and Kotler contend that new transportation options will transform where people live and work. With a combination of autonomous vehicles, Hyperloop, and Uber Elevate, by 2028 youll be able to commute from Cleveland, Ohio to a meeting in New York City in about an hour. The book has several of these vignettes, but they wont necessarily be ubiquitous right away. The you who lives in New York, San Francisco, L.A., etc., is going to get those technologies sooner, said Kotler. Theyre going to theyre going to show up in places where theres way more early tech adopters.

One aspect thats missing from the description of the commute is the inevitable growing pains. Your Uber Elevate might pick you up from the roof of a Cleveland skyscraper, but whats the wait going to be like in the buildings elevators with this new rush of commuters? What kind of pushback will cities get from residents who dont want a skyport in their backyard? There are also a lot of logistics to consider with the Federal Aviation Association and the U.S. Department of Transportation. With flying cars, with Hyperloops, with fast development in places like Idaho, we need a sort of nation-wide environmental planning and resource planning, at a level that weve never had before, said Kotler. The good news is, for the same reasons that we can apply quantum and A.I. to model the human body, were starting to be able to model whole ecosystems, which has never really happened before.

On the ground, the state of the power grid is another problem, especially as cities and states shift to renewable energy. The only way to really fix it is not to rebuild it, said Diamandis. Its going to be to make it micro grids, independent grids, where its just like the internet. These exist now, but many run on diesel generators and only kick in when the main grid goes down.

As the population continues to sprawl, it would make sense to do so with a more diversified grid and an eye toward protecting biodiversity. That takes planning and forethought, and it hasnt happened too often in the U.S. We know deforestation is a massive, massive, massive problem, said Kotler, as is soil erosion. If weve got technologies that can solve massive environmental challenges, that certainly seems like a job for governments, he said.

Addicted to tech

It often seems like technology creates as many problems as its poised to solve like e-waste. Diamandis admits the tradeoff for a personal A.I. that knows your preferences, schedule, and even emotions is a complete depletion of privacy. I think people are going to end up opting to give their A.I. assistants a lot more access to their daily lives, minute by minute, he said. That includes access to emails, conversations, and facial expressions that will let your virtual assistant know youre feeling sad. That way, it will be able to play a cheerful tune when you walk through the door. I believe that younger people have less of an expectation or a demand for privacy, said Diamandis. Instead, he believes they favor convenience.

Kotler is a little more hesitant about this all-knowing A.I. He already says smartphones are addictive devices. I think weve sacrificed a generation to our technology, in a sense, he said. While he thinks weve realized it and are trying to fix the problem, it wont be an instantaneous shift. With advertising, we talked about in the book, its going to get worse, probably, before it gets better, he said, but we do think its going to get better. For a lot of these technologies, for early and late adopters alike, its probably going to get worse before it gets better.

See the rest here:

Xprize founder says the future is coming faster than we realize. Heres why - Digital Trends