Category Archives: Quantum Computing
Quantum computing has moved out of the realm of theoretical physics and into the real world, but its potential and promise are still years away.
Onstage at TechCrunch Disrupt SF, a powerhouse in the world of quantum research and a young upstart in the field presented visions for the future of the industry that illustrated both how far the industry has come and how far the technology has to go.
For both Dario Gil, the chief operating officer of IBM Research and the companys vice president of artificial intelligence and quantum computing, and Chad Rigetti, a former IBM researcher who founded Rigetti Computing and serves as its chief executive, the moment that a quantum computer will be able to perform operations better than a classical computer is only three years away.
[Its] generating a solution that is better, faster or cheaper than you can do otherwise, said Rigetti.Quantum computing has moved out of a field of research into now an engineering discipline and an engineering enterprise.
Considering the more than 30 years that IBM has been researching the technology and the millions (or billions) that have been poured into developing it, even seeing an end of the road is a victory for researchers and technologists.
Achieving this goal, for all of the brainpower and research hours that have gone into it, is hardly academic.
The Chinese government is building a $10 billion National Laboratory for Quantum Information in Anhui province, which borders Shanghai and is slated to open in 2020. Meanwhile, the U.S. public research into quantum computing is running at around $200 million per year.
One of the reasons why governments, especially, are so interested in the technology is its potential to completely remake the cybersecurity landscape. Some technologists argue that quantum computers will have the potential to crack any type of encryption technology, opening up all of the networks in the world to potential hacking.
Of course, quantum computing is so much more than security. It will enable new ways of doing things we cant even imagine because we have never had this much pure compute power. Think about artificial and machine learning or drug development; any type of operation that is compute-intensive could benefit from the exponential increase in compute power that quantum computing will bring.
Security may be the Holy Grail for governments, but both Rigetti and Gil say that the industrial chemical business will be the first place where the potentially radical transformation of a market will appear first.
To understand quantum computing it helps to understand the principles of the physics behind it.
As Gil explained onstage (and on our site), quantum computing depends on the principles of superposition, entanglement and interference.
Superposition is the notion that physicists can observe multiple potential states of a particle. If you a flip a coin it is one or two states, said Gil. Meaning that theres a single outcome that can be observed. But if someone were to spin a coin, theyd see a number of potential outcomes.
Once youve got one particle thats being observed, you can add another and pair them thanks to a phenomenon called quantum entanglement. If you have two coins where each one can be in superpositions and then you can have measurements can be taken of the difference of both.
Finally, theres interference, where the two particles can be manipulated by an outside force to change them and create different outcomes.
In classical systems you have these bits of zeros and ones and the logical operations of the ands and the ors and the nots, said Gil. The classical computer is able to process the logical operations of bits expressed in zeros and ones.
In an algorithm you put the computer in a super positional state, Gil continued. You can take the amplitude and states and interfere them and the algorithm is the thing that interferes I can have many, many states representing different pieces of information and then i can interfere with it to get these data.
These operations are incredibly hard to sustain. In the early days of research into quantum computing the superconducting devices only had one nanosecond before a qubit transforms into a traditional bit of data. Those ranges have increased between 50 and 100 microseconds, which enabled IBM and Rigetti to open up their platforms to researchers and others to conduct experimentation (more on that later).
As one can imagine, dealing with quantum particles is a delicate business. So the computing operations have to be carefully controlled.At the base of the machine is what basically amounts to a huge freezer that maintains a temperature in the device of 15 millikelvin near absolute zero degrees and 180 times colder than the temperatures in interstellar space.
These qubits are very delicate, said Gil. Anything from the outside world can couple to it and destroy its state and one way to protect it is to cool it.
Wiring for the quantum computer is made of superconducting coaxial cables. The inputs to the computers are microwave pulses that manipulates the particles creating a signal that is then interpreted by the computers operators.
Those operators used to require a degree in quantum physics. But both IBM and Rigetti have been working on developing tools that can enable a relative newbie to use the tech.
Even as companies like IBM and Rigetti bring the cost of quantum computing down from tens of millions of dollars to roughly $1 million to $2 million, these tools likely will never become commodity hardware that a consumer buys to use as a personal computer.
Rather, as with most other computing these days, quantum computing power will be provided as a service to users.
Indeed, Rigetti announced onstage a new hybrid computing platform that can provide computing services to help the industry both reach quantum advantage that tipping point at which quantum is commercially viable and to enable industries to explore the technologies to acclimatize to the potential ways in which typical operations could be disrupted by it.
A user logs on to their own device and use our software development kit to write a quantum application, said Rigetti. That program is sent to a compiler and kicks off an optimization kit that runs on a quantum and classical computer This is the architecture thats needed to achieve quantum advantage.
Both IBM and Rigetti and a slew of other competitors are preparing users for accessing quantum computing opportunities on the cloud.
IBM has more than a million chips performing millions of quantum operations requested by users in over 100 countries around the world.
In a cloud-first era Im not sure the economic forces will be there that will drive us to develop the miniaturized environment in the laptop, Rigetti said. But the ramifications of the technologys commercialization will be felt by everyone, everywhere.
Quantum computing is going to change the world and its all going to come in our lifetime, whether thats two years or five years, he said. Quantum computing is going to redefine every industry and touch every market. Every major company will be involved in some capacity in that space.
See the original post:
The reality of quantum computing could be just three years …
Quantum computing has ushered in a new area of information technology. An international arms race to develop quantum computers has steadily grown more competitive and more critical.
China reached the early pole position by unveiling the worlds first quantum communication landline connecting Beijing with Shanghai like no two other cities in history. The first quantum encrypted Skype call was also made, that same day, by the Chinese. It was only possible because of the worlds first quantum satellite, known as Micius.
Visit Hard Fork.
Its clear that quantum technology promises to usher in a new era of computing. And other countries are already staking their claim, vying to be the nation that ultimately emerges as the world leader.
Beyond its image as a booster for communications, quantum computing also poses a very real threat to data protection with its proven ability to quickly crack most codes.
Only the lack of large scale quantum computers is holding back the ability to shred todays encryption. And both criminals and nation-states are capturing as much encrypted data as they can now, with the expectation that quantum computers will eventually be able to crack current protections.
China and other nations are investing heavily in research and development for quantum computers as well as technology that could, theoretically, prevent hacking by quantum supercomputers. If the United States fails to develop a similarly strong quantum infrastructure, all of todays protected data could be at risk.
This includes military data that would directly impact operational security (OPSEC), which is the critical communications in any military mission.
While OPSEC is one major potential vulnerability, other systems could be targeted. The financial and medical sectors come to mind. Both industries play pivotal roles in American life and have access to important data.
A sufficiently advanced quantum computer could theoretically decrypt and break into a mass of bank accounts or patient records in very little time.
Spending on technology across the board is projected to grow over the next few years as computing advances. The United States Department of Defense has requisitioned $899 million for computer science research. While this research focuses largely on quantum computing, the requested amount is only .000046% of the total gross domestic product (GDP).
Meanwhile, China is investing much more heavily in quantum computing. While their exact government spending is unknown, a new research laboratory costing approximately $10 billion was recently built in China for the express purpose of researching quantum technology.
The total amount being spent by the Chinese government dwarfs the investment by the United States, and that deficit does not appear to close over the next five to ten years.
In order to keep a secure infrastructure, the United States must prioritize the digital space. The digital theater is likely the next major area of operations as countries try to grab sensitive information.
A situation like this was mentioned in Tom Clancys excellently researched Threat Vector. In the book, the Chinese use superior technology to disrupt American businesses and pilfer sensitive documents. Its not unlike what could very well be happening right now in anticipation of quantum computing advances.
While Threat Vector is fiction, there are some harsh realities facing the United States should it fail to remain competitive in this critical area. Beyond the obvious theft of sensitive data and mission critical secrecy is the loss of jobs or potential jobs as quantum computing is developed and designed offshore.
For the United States to remain at the cutting edge, it will need to create its own quantum network to allow for unbreakable lines of secure communication, like what is happening in China.
We are also in vital need of quantum-proof encryption such as Quantum Key Distribution (QKD) that can be applied as soon as possible. Our most critical data needs to be safe from future quantum computers and their expected ability to more easily crack todays encryption.
American companies like Microsoft, Intel, Google, IBM,and others are conducting research and development into quantum technologies, but will likely require assistance from the government. After all, government backing has been at the root of most technical marvels of everyday life such as microchips, GPS, touch screens, Googles search engine and the Internet.
The biggest competitor within quantum computing is China, which is likely the worlds frontrunner, but there are others. Russia is also pushing the boundaries. Spearheaded by the Russian Quantum Center, Russia announced a breakthrough by designing a quantum computer that can reliably solve basic computations faster than anything else today.
Even North Korea has stated that they intend to develop quantum computers. While its unknown how much North Korea has invested in this program, the fact that they are tossing their hat in the ring is troubling.
The United States cant afford to come in second in the global quantum arms race, especially to any country that has been adversarial or downright antagonistic in the past.
In a quantum world, the speeds are so fast and the numbers so large, that second place really doesnt mean very much. There is the leader in quantum computing, and then there is everyone else.
The United States has an incredible ability to compete on the world stage in anything. The effort just needs the proper investment, manpower and directive. Quantum computing is a race where we can compete, and one that we absolutely must win.
Read next: Task Pigeon will get your whole office cranking out projects and now its 90% off
Feynman Quantum Computing Academy at NASA Ames
An experience in the USRA-NASA-Google Quantum Artificial Intelligence Laboratory (QuAIL) at NASA Ames Research Centers Advanced Supercomputing Facility introduces graduate students to scientific opportunities in quantum information sciences and trains them to do research related to the most advanced quantum computing platforms. Students will receive valuable experience working on teams, undertaking projects in advanced computing, and developing quantum and classical methods to solve problems in important application or fundamental domains.
Students, which need to be enrolled in a Ph.D. program or have otherwise previous quantum computing research experience, are accepted to a 12-to-24 week program. Applications are open all year round. These students work in close collaboration with quantum scientists, receiving hands-on training, and undertake individualized research projects. Students will also participate in seminars and workshops with researchers from other organizations doing quantum research, including those from academic institutions, government laboratories, and commercial organizations. Participants receive a stipend to cover living expenses and travel during the program.
David Bell, Ph.D. Director, USRA Research Institute for Advanced Computer Science (RIACS), and Chief Technologist, NASA Academic Mission Services
Davide Venturelli, Ph.D., Senior Quantum Information Scientist, USRA RIACS; and Science Operations Manager, Quantum Artificial Intelligence Laboratory
Read more here:
Quantum Computing | USRA
Big things happen when computers get smaller. Or faster. And quantum computing is about chasing perhaps the biggest performance boost in the history of technology. The basic idea is to smash some barriers that limit the speed of existing computers by harnessing the counterintuitive physics of subatomic scales.
If the tech industry pulls off that, ahem, quantum leap, you wont be getting a quantum computer for your pocket. Dont start saving for an iPhone Q. We could, however, see significant improvements in many areas of science and technology, such as longer-lasting batteries for electric cars or advances in chemistry that reshape industries or enable new medical treatments. Quantum computers wont be able to do everything faster than conventional computers, but on some tricky problems they have advantages that would enable astounding progress.
Its not productive (or polite) to ask people working on quantum computing when exactly those dreamy applications will become real. The only thing for sure is that they are still many years away. Prototype quantum computing hardware is still embryonic. But powerfuland, for tech companies, profit-increasingcomputers powered by quantum physics have recently started to feel less hypothetical.
The cooling and support structure for one of IBM’s quantum computing chips (the tiny black square at the bottom of the image).
Thats because Google, IBM, and others have decided its time to invest heavily in the technology, which, in turn, has helped quantum computing earn a bullet point on the corporate strategy PowerPoint slides of big companies in areas such as finance, like JPMorgan, and aerospace, like Airbus. In 2017, venture investors plowed $241 million into startups working on quantum computing hardware or software worldwide, according to CB Insights. Thats triple the amount in the previous year.
Like the befuddling math underpinning quantum computing, some of the expectations building around this still-impractical technology can make you lightheaded. If you squint out the window of a flight into SFO right now, you can see a haze of quantum hype drifting over Silicon Valley. But the enormous potential of quantum computing is undeniable, and the hardware needed to harness it is advancing fast. If there were ever a perfect time to bend your brain around quantum computing, its now. Say Schrodingers superposition three times fast, and we can dive in.
The prehistory of quantum computing begins early in the 20th century, when physicists began to sense they had lost their grip on reality.
First, accepted explanations of the subatomic world turned out to be incomplete. Electrons and other particles didnt just neatly carom around like Newtonian billiard balls, for example. Sometimes they acted like waves instead. Quantum mechanics emerged to explain such quirks, but introduced troubling questions of its own. To take just one brow-wrinkling example, this new math implied that physical properties of the subatomic world, like the position of an electron, didnt really exist until they were observed.
Physicist Paul Benioff suggests quantum mechanics could be used for computation.
Nobel-winning physicist Richard Feynman, at Caltech, coins the term quantum computer.
Physicist David Deutsch, at Oxford, maps out how a quantum computer would operate, a blueprint that underpins the nascent industry of today.
Mathematician Peter Shor, at Bell Labs, writes an algorithm that could tap a quantum computers power to break widely used forms of encryption.
D-Wave, a Canadian startup, announces a quantum computing chip it says can solve Sudoku puzzles, triggering years of debate over whether the companys technology really works.
Google teams up with NASA to fund a lab to try out D-Waves hardware.
Google hires the professor behind some of the best quantum computer hardware yet to lead its new quantum hardware lab.
IBM puts some of its prototype quantum processors on the internet for anyone to experiment with, saying programmers need to get ready to write quantum code.
Startup Rigetti opens its own quantum computer fabrication facility to build prototype hardware and compete with Google and IBM.
If you find that baffling, youre in good company. A year before winning a Nobel for his contributions to quantum theory, Caltechs Richard Feynman remarked that nobody understands quantum mechanics. The way we experience the world just isnt compatible. But some people grasped it well enough to redefine our understanding of the universe. And in the 1980s a few of themincluding Feynmanbegan to wonder if quantum phenomena like subatomic particles’ dont look and I dont exist trick could be used to process information. The basic theory or blueprint for quantum computers that took shape in the 80s and 90s still guides Google and others working on the technology.
Before we belly flop into the murky shallows of quantum computing 0.101, we should refresh our understanding of regular old computers. As you know, smartwatches, iPhones, and the worlds fastest supercomputer all basically do the same thing: they perform calculations by encoding information as digital bits, aka 0s and 1s. A computer might flip the voltage in a circuit on and off to represent 1s and 0s for example.
Quantum computers do calculations using bits, too. After all, we want them to plug into our existing data and computers. But quantum bits, or qubits, have unique and powerful properties that allow a group of them to do much more than an equivalent number of conventional bits.
Qubits can be built in various ways, but they all represent digital 0s and 1s using the quantum properties of something that can be controlled electronically. Popular examplesat least among a very select slice of humanityinclude superconducting circuits, or individual atoms levitated inside electromagnetic fields. The magic power of quantum computing is that this arrangement lets qubits do more than just flip between 0 and 1. Treat them right and they can flip into a mysterious extra mode called a superposition.
The looped cables connect the chip at the bottom of the structure to its control system.
You may have heard that a qubit in superposition is both 0 and 1 at the same time. Thats not quite true and also not quite falsetheres just no equivalent in Homo sapiens humdrum classical reality. If you have a yearning to truly grok it, you must make a mathematical odyssey WIRED cannot equip you for. But in the simplified and dare we say perfect world of this explainer, the important thing to know is that the math of a superposition describes the probability of discovering either a 0 or 1 when a qubit is read outan operation that crashes it out of a quantum superposition into classical reality. A quantum computer can use a collection of qubits in superpositions to play with different possible paths through a calculation. If done correctly, the pointers to incorrect paths cancel out, leaving the correct answer when the qubits are read out as 0s and 1s.
A device that uses quantum mechanical effects to represent 0s and 1s of digital data, similar to the bits in a conventional computer.
It’s the trick that makes quantum computers tick, and makes qubits more powerful than ordinary bits. A superposition is in an intuition-defying mathematical combination of both 0 and 1. Quantum algorithms can use a group of qubits in a superposition to shortcut through calculations.
A quantum effect so unintuitive that Einstein dubbed it spooky action at a distance. When two qubits in a superposition are entangled, certain operations on one have instant effects on the other, a process that helps quantum algorithms be more powerful than conventional ones.
The holy grail of quantum computinga measure of how much faster a quantum computer could crack a problem than a conventional computer could. Quantum computers arent well-suited to all kinds of problems, but for some they offer an exponential speedup, meaning their advantage over a conventional computer grows explosively with the size of the input problem.
For some problems that are very time consuming for conventional computers, this allows a quantum computer to find a solution in far fewer steps than a conventional computer would need. Grovers algorithm, a famous quantum search algorithm, could find you in a phone book with 100 million names with just 10,000 operations. A classical search algorithm would require 50 million operations, on average, to spool through all the listings and find you. For Grovers and some other quantum algorithms, the bigger the initial problemor phonebookthe further behind a conventional computer is left in the digital dust.
The reason we dont have useful quantum computers today is that qubits are extremely finicky. The quantum effects they must control are very delicate, and stray heat or noise can flip 0s and 1s, or wipe out a crucial superposition. Qubits have to be carefully shielded, and operated at very cold temperatures, sometimes only fractions of a degree above absolute zero. Most plans for quantum computing depend on using a sizable chunk of a quantum processors power to correct its own errors, caused by misfiring qubits.
Recent excitement about quantum computing stems from progress in making qubits less flaky. Thats giving researchers the confidence to start bundling the devices into larger groups. Startup Rigetti Computing recently announced it has built a processor with 128 qubits made with aluminum circuits that are super-cooled to make them superconducting. Google and IBM have announced their own chips with 72 and 50 qubits, respectively. Thats still far fewer than would be needed to do useful work with a quantum computerit would probably require at least thousandsbut as recently as 2016 those companies best chips had qubits only in the single digits. After tantalizing computer scientists for 30 years, practical quantum computing may not exactly be close, but it has begun to feel a lot closer.
Some large companies and governments have started treating quantum computing research like a raceperhaps fittingly its one where both the distance to the finish line and the prize for getting there are unknown.
Google, IBM, Intel, and Microsoft have all expanded their teams working on the technology, with a growing swarm of startups such as Rigetti in hot pursuit. China and the European Union have each launched new programs measured in the billions of dollars to stimulate quantum R&D. And in the US, the Trump White House has created a new committee to coordinate government work on quantum information science. Several bills were introduced to Congress in 2018 proposing new funding for quantum research, totalling upwards of $1.3 billion. Its not quite clear what the first killer apps of quantum computing will be, or when they will appear. But theres a sense that whoever is first make these machines useful will gain big economic and national security advantages.
Copper structures conduct heat well and connect the apparatus to its cooling system.
Back in the world of right now, though, quantum processors are too simple to do practical work. Google is working to stage a demonstration known as quantum supremacy, in which a quantum processor would solve a carefully designed math problem beyond existing supercomputers. But that would be an historic scientific milestone, not proof quantum computing is ready to do real work.
As quantum computer prototypes get larger, the first practical use for them will probably be for chemistry simulations. Computer models of molecules and atoms are vital to the hunt for new drugs or materials. Yet conventional computers cant accurately simulate the behavior of atoms and electrons during chemical reactions. Why? Because that behavior is driven by quantum mechanics, the full complexity of which is too great for conventional machines. Daimler and Volkswagen have both started investigating quantum computing as a way to improve battery chemistry for electric vehicles. Microsoft says other uses could include designing new catalysts to make industrial processes less energy intensive, or even to pull carbon dioxide out of the atmosphere to mitigate climate change.
Quantum computers would also be a natural fit for code-breaking. Weve known since the 90s that they could zip through the math underpinning the encryption that secures online banking, flirting, and shopping. Quantum processors would need to be much more advanced to do this, but governments and companies are taking the threat seriously. The National Institute of Standards and Technology is in the process of evaluating new encryption systems that could be rolled out to quantum-proof the internet.
When cooled to operating temperature, the whole assembly is hidden inside this white insulated casing.
Tech companies such as Google are also betting that quantum computers can make artificial intelligence more powerful. Thats further in the future and less well mapped out than chemistry or code-breaking applications, but researchers argue they can figure out the details down the line as they play around with larger and larger quantum processors. One hope is that quantum computers could help machine-learning algorithms pick up complex tasks using many fewer than the millions of examples typically used to train AI systems today.
Despite all the superposition-like uncertainty about when the quantum computing era will really begin, big tech companies argue that programmers need to get ready now. Google, IBM, and Microsoft have all released open source tools to help coders familiarize themselves with writing programs for quantum hardware. IBM has even begun to offer online access to some of its quantum processors, so anyone can experiment with them. Long term, the big computing companies see themselves making money by charging corporations to access data centers packed with supercooled quantum processors.
Whats in it for the rest of us? Despite some definite drawbacks, the age of conventional computers has helped make life safer, richer, and more convenientmany of us are never more than five seconds away from a kitten video. The era of quantum computers should have similarly broad reaching, beneficial, and impossible to predict consequences. Bring on the qubits.
The Quantum Computing Factory Thats Taking on Google and IBMPeek inside the ultra-clean workshop of Rigetti Computing, a startup packed with PhDs wearing what look like space suits and gleaming steampunk-style machines studded with bolts. In a facility across the San Francisco Bay from Silicon Valley, Rigetti is building its own quantum processors, using similar technology to that used by IBM and Google.
Why JP Morgan, Daimler Are Testing Quantum Computers That Arent Useful YetWall Street has plenty of quantsmath wizards who hunt profits using equations. Now JP Morgan has quantum quants, a small team collaborating with IBM to figure out how to use the power of quantum algorithms to more accurately model financial risk. Useful quantum computers are still years away, but the bank and other big corporations say that the potential payoffs are so large that they need to seriously investigate quantum computing today.
The Era of Quantum Computing is Here. Outlook: CloudyCompanies working on quantum computer hardware like to say that the field has transitioned from the exploration and uncertainty of science into the more predictable realm of engineering. Yet while hardware has improved markedly in recent years, and investment is surging, there are still open scientific questions about the physics underlying quantum computing.
Quantum Computing Will Create Jobs. But Which Ones?You cant create a new industry without people to staff the jobs it creates. A Congressional bill called the National Quantum Initiative seeks to have the US government invest in training the next generation of quantum computer technicians, designers, and entrepreneurs.
Job One For Quantum Computers: Boost Artificial IntelligenceArtificial intelligence and quantum computing are two of Silicon Valleys favorite buzzwords. If they can be successfully combined, machines will get a lot smarter.
Loopholes and the Anti-Realism Of the Quantum WorldEven people who can follow the math of quantum mechanics find its implications for reality perplexing. This book excerpt explains why quantum physics undermines our understanding of reality with nary an equation in sight.
Quantum Computing is the Next Security Big Security RiskIn 1994, mathematician Peter Shor wrote an algorithm that would allow a quantum computer to pierce the encryption that today underpins online shopping and other digital. As quantum computers get closer to reality, congressman Will Hurd (R-Texas) argues the US needs to lead a global effort to deploy new forms of quantum-resistant encryption.
This guide was last updated on August 21, 2018.
Enjoyed this deep dive? Check out more WIRED Guides.
See original here:
What Is Quantum Computing? The Complete WIRED Guide | WIRED
Market Synopsis of Quantum Computing Market:
Quantum computing is the area of study focused on developing computer technology based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum (atomic and subatomic) level. A Quantum computer follows the laws of quantum physics via which it can gain enormous power, have the ability to be in multiple states and perform tasks using all possible permutations simultaneously.
A classical computer works on the principle of Boolean algebra operating with a 7-mode logic gate principle, whereas a quantum computer can work with a 2-mode logic gate. In a quantum computer, a number of elemental particles such as electrons or photons can be used, with either their charge or polarization acting as a representation of 0 and/or 1. Each of these particles is known as a quantum bit, or qubit, the nature and behavior of these particles form the basis of quantum computing.
The study indicates that the major driving factor for the Quantum Computing market is the increasing implementation of machine learning by quantum computers in order to recognize objects by detecting recurring patterns. It has been observed that over the recent past several research institutes along with scientists are carrying out research programs to truly understand the practical capacity of quantum computers.
The global Quantum Computing market is expected to grow at USD ~2,464 million by 2022, at ~24% of CAGR between 2016 and 2022.
Quantum Computing Market
Study Objectives of Quantum Computing Market:
The prominent players in the Quantum Computing market are – D-Wave Systems Inc. (Canada), International Business Machines Corporation (U.S.), Lockheed Martin Corporation (U.S.), Intel Corporation (U.S.), Anyon Systems Inc. (Canada), Cambridge Quantum Computing Limited (U.K.), QC Ware, Corp. (U.S.), Rigetti Computing (U.S.), QxBranch (U.S.) among others.
Quantum Computing market is segmented on the basis of application and vertical.
Quantum Computing market by application:
Quantum Computing market by Vertical:
The regional analysis of Quantum Computing market is being studied for region such as Asia Pacific, North America, Europe and Rest of the World. It has been observed that North America would dominate the Quantum Computing market owing to factors such as usage of quantum computers by government agencies and aerospace & defense for machine learning. The study indicates that Europe has the second biggest market share in the Quantum Computing market.
Asia Pacific Quantum Computing market is expected to show a positive growth over the forecast period owing to factors such as wide adoption of quantum computers by BFSI sector. In Asia-Pacific countries like China, Japan and others are making use of quantum computers for optimization of tasks due to which the study reveals that these countries would show a sudden hike in Quantum Computing market by the forecast period.
1 MARKET INTRODUCTION
1.2 SCOPE OF STUDY
1.2.1 RESEARCH OBJECTIVE
1.3 MARKET STRUCTURE
2 RESEARCH METHODOLOGY
2.1 RESEARCH NETWORK SOLUTION
2.2 PRIMARY RESEARCH
2.3 SECONDARY RESEARCH
2.4 FORECAST MODEL
2.4.1 MARKET DATA COLLECTION, ANALYSIS & FORECAST
2.4.2 MARKET SIZE ESTIMATION
3 MARKET DYNAMICS
3.2 MARKET DRIVERS
3.3 MARKET CHALLENGES
3.4 MARKET OPPORTUNITIES
3.5 MARKET RESTRAINTS
4 EXECUTIVE SUMMARY
5. MARKET FACTOR ANALYSIS
5.1 PORTERS FIVE FORCES ANALYSIS
5.2 SUPPLY CHAIN ANALYSIS
6 QUANTUM COMPUTING MARKET, BY SEGMENTS
6.2 MARKET STATISTICS
6.2.1 BY APPLICATION
184.108.40.206 MACHINE LEARNING
6.2.2 BY VERTICAL
220.127.116.11 IT & TELECOMMUNICATION
18.104.22.168 AEROSPACE & DEFENSE
6.2.3 BY GEOGRAPHY
22.214.171.124 NORTH AMERICA
126.96.36.199 REST OF THE WORLD
7 COMPETITIVE ANALYSIS
7.1 MARKET SHARE ANALYSIS
7.2 COMPANY PROFILES
7.2.1 D-WAVE SYSTEMS INC. (CANADA)
7.2.2 INTERNATIONAL BUSINESS MACHINES CORPORATION (U.S.)
7.2.3 LOCKHEED MARTIN CORPORATION (U.S.)
7.2.4 INTEL CORPORATION (U.S.)
7.2.5 ANYON SYSTEMS INC. (CANADA)
7.2.6 CAMBRIDGE QUANTUM COMPUTING LIMITED (U.K.)
7.2.7 QC WARE, CORP. (U.S.)
7.2.8 RIGETTI COMPUTING (U.S.)
7.2.9 QXBRANCH (U.S.)
LIST OF TABLES
TABLE 1 GLOBAL QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 2 GLOBAL QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 3 GLOBAL QUANTUM COMPUTING MARKET, BY REGIONS
TABLE 4 NORTH AMERICA QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 5 NORTH AMERICA QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 6 U.S. QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 7 U.S. QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 8 CANADA QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 9 CANADA QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 10 EUROPE QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 11 EUROPE QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 12 GERMANY QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 13 GERMANY QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 14 FRANCE QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 15 FRANCE QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 16 U.K. QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 17 U.K. QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 18 REST OF EUROPE QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 19 REST OF EUROPE CHIP ON FLEX MARKET, BY VERTICAL
TABLE 20 ASIA-PACIFIC QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 21 ASIA-PACIFIC QUANTUM COMPUTING MARKET, BY VERTICAL
TABLE 22 MIDDLE EAST & AFRICA QUANTUM COMPUTING MARKET, BY APPLICATION
TABLE 23 MIDDLE EAST & AFRICA QUANTUM COMPUTING MARKET, BY VERTICAL
LIST OF FIGURES
FIGURE 1 RESEARCH NETWORK SOLUTION
Originally posted here:
Quantum Computing Market Research Report- Forecast 2022 | MRFR
Quantum computing has made it to the United States Congress. “Quantum computing is the next technological frontier that will change the world, and we cannot afford to fall behind,” said Senator Kamala Harris (D-California) in a statement passed to Gizmodo. “We must act now to address the challenges we face in the development of this technology — our future depends on it.” From the report: The bill introduced by Harris in the Senate focuses on defense, calling for the creation of a consortium of researchers selected by the Chief of Naval Research and the Director of the Army Research Laboratory. The consortium would award grants, assist with research, and facilitate partnerships between the members. Another, yet-to-be-introduced bill, seen in draft form by Gizmodo, calls for a 10-year National Quantum Initiative Program to set goals and priorities for quantum computing in the US; invest in the technology; and partner with academia and industry. An office within the Department of Energy would coordinate the program. Another group would include members from the National Science Foundation, the National Institute of Standards and Technology, the Department of Energy, the office of the Director of National Intelligence to coordinate research and education activity between agencies. Furthermore, the draft bill calls for the establishment of up to five Quantum Information Science research centers, as well as two multidisciplinary National Centers for Quantum Research and Education.
Go here to read the rest:
Two Quantum Computing Bills Are Coming To Congress
Gizmodo, meanwhile, has seen a second draft bill that would start a decade-long National Quantum Initiative Program to set priorities for developing the technology, including investments and partnerships. The Department of Energy, National Science Foundation, National Institute of Standards and Technology and the Director of National Intelligence would all foster education and research. The bill would also create up to five Quantum Information Science research centers as well as two Quantum Research and Education centers.
It won’t surprise you to hear that academics and quantum computing pioneers would like to see the bills become law. D-Wave and IBM have already lent their support to the efforts. The challenge, of course, is turning these well-meaning ideas into law. The national defense and job angles might make it a strong sell, but quantum computing is very much in its infancy. Harris and other proponents will have to show that it’s worth backing the tech when companies and scientists are only just discovering its potential uses.
Read the original post:
Senate bills would make quantum computing a priority
Quantum computing is the area of study focused on developing computer technology based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum (atomic and subatomic) level. Development of a quantum computer, if practical, would mark a leap forward in computing capability far greater than that from the abacus to a modern day supercomputer, with performance gains in the billion-fold realm and beyond. The quantum computer, following the laws of quantum physics, would gain enormous processing power through the ability to be in multiple states, and to perform tasks using all possible permutations simultaneously. Current centers of research in quantum computing include MIT, IBM, Oxford University, and the Los Alamos National Laboratory.
The essential elements of quantum computing originated with Paul Benioff, working at Argonne National Labs, in 1981. He theorized a classical computer operating with some quantum mechanical principles. But it is generally accepted that David Deutsch of Oxford University provided the critical impetus for quantum computing research. In 1984, he was at a computation theory conference and began to wonder about the possibility of designing a computer that was based exclusively on quantum rules, then published his breakthrough paper a few months later. With this, the race began to exploit his ideas. However, before we delve into what he started, it is beneficial to have a look at the background of the quantum world.
Quantum theory’s development began in 1900 with a presentation by Max Planck to the German Physical Society, in which he introduced the idea that energy exists in individual units (which he called “quanta”), as does matter. Further developments by a number of scientists over the following thirty years led to the modern understanding of quantum theory.
Niels Bohr proposed the Copenhagen interpretation of quantum theory, which asserts that a particle is whatever it is measured to be (for example, a wave or a particle) but that it cannot be assumed to have specific properties, or even to exist, until it is measured. In short, Bohr was saying that objective reality does not exist. This translates to a principle called superposition that claims that while we do not know what the state of any object is, it is actually in all possible states simultaneously, as long as we don’t look to check.
To illustrate this theory, we can use the famous and somewhat cruel analogy of Schrodinger’s Cat. First, we have a living cat and place it in a thick lead box. At this stage, there is no question that the cat is alive. We then throw in a vial of cyanide and seal the box. We do not know if the cat is alive or if it has broken the cyanide capsule and died. Since we do not know, the cat is both dead and alive, according to quantum law – in a superposition of states. It is only when we break open the box and see what condition the cat is in that the superposition is lost, and the cat must be either alive or dead.
The second interpretation of quantum theory is the multiverse or many-worlds theory. It holds that as soon as a potential exists for any object to be in any state, the universe of that object transmutes into a series of parallel universes equal to the number of possible states in which that the object can exist, with each universe containing a unique single possible state of that object. Furthermore, there is a mechanism for interaction between these universes that somehow permits all states to be accessible in some way and for all possible states to be affected in some manner. Stephen Hawking and the late Richard Feynman are among the scientists who have expressed a preference for the many-worlds theory.
Which ever argument one chooses, the principle that, in some way, one particle can exist in numerous states opens up profound implications for computing.
Classical computing relies, at its ultimate level, on principles expressed by Boolean algebra, operating with a (usually) 7-mode logic gate principle, though it is possible to exist with only three modes (which are AND, NOT, and COPY). Data must be processed in an exclusive binary state at any point in time – that is, either 0 (off / false) or 1 (on / true). These values are binary digits, or bits. The millions of transistors and capacitors at the heart of computers can only be in one state at any point. While the time that the each transistor or capacitor need be either in 0 or 1 before switching states is now measurable in billionths of a second, there is still a limit as to how quickly these devices can be made to switch state. As we progress to smaller and faster circuits, we begin to reach the physical limits of materials and the threshold for classical laws of physics to apply. Beyond this, the quantum world takes over, which opens a potential as great as the challenges that are presented.
The Quantum computer, by contrast, can work with a two-mode logic gate: XOR and a mode we’ll call QO1 (the ability to change 0 into a superposition of 0 and 1, a logic gate which cannot exist in classical computing). In a quantum computer, a number of elemental particles such as electrons or photons can be used (in practice, success has also been achieved with ions), with either their charge or polarization acting as a representation of 0 and/or 1. Each of these particles is known as a quantum bit, or qubit, the nature and behavior of these particles form the basis of quantum computing. The two most relevant aspects of quantum physics are the principles of superposition and entanglement .
Think of a qubit as an electron in a magnetic field. The electron’s spin may be either in alignment with the field, which is known as a spin-up state, or opposite to the field, which is known as a spin-down state. Changing the electron’s spin from one state to another is achieved by using a pulse of energy, such as from a laser – let’s say that we use 1 unit of laser energy. But what if we only use half a unit of laser energy and completely isolate the particle from all external influences? According to quantum law, the particle then enters a superposition of states, in which it behaves as if it were in both states simultaneously. Each qubit utilized could take a superposition of both 0 and 1. Thus, the number of computations that a quantum computer could undertake is 2^n, where n is the number of qubits used. A quantum computer comprised of 500 qubits would have a potential to do 2^500 calculations in a single step. This is an awesome number – 2^500 is infinitely more atoms than there are in the known universe (this is true parallel processing – classical computers today, even so called parallel processors, still only truly do one thing at a time: there are just two or more of them doing it). But how will these particles interact with each other? They would do so via quantum entanglement.
Entanglement Particles (such as photons, electrons, or qubits) that have interacted at some point retain a type of connection and can be entangled with each other in pairs, in a process known as correlation . Knowing the spin state of one entangled particle – up or down – allows one to know that the spin of its mate is in the opposite direction. Even more amazing is the knowledge that, due to the phenomenon of superpostition, the measured particle has no single spin direction before being measured, but is simultaneously in both a spin-up and spin-down state. The spin state of the particle being measured is decided at the time of measurement and communicated to the correlated particle, which simultaneously assumes the opposite spin direction to that of the measured particle. This is a real phenomenon (Einstein called it “spooky action at a distance”), the mechanism of which cannot, as yet, be explained by any theory – it simply must be taken as given. Quantum entanglement allows qubits that are separated by incredible distances to interact with each other instantaneously (not limited to the speed of light). No matter how great the distance between the correlated particles, they will remain entangled as long as they are isolated.
Taken together, quantum superposition and entanglement create an enormously enhanced computing power. Where a 2-bit register in an ordinary computer can store only one of four binary configurations (00, 01, 10, or 11) at any given time, a 2-qubit register in a quantum computer can store all four numbers simultaneously, because each qubit represents two values. If more qubits are added, the increased capacity is expanded exponentially.
Perhaps even more intriguing than the sheer power of quantum computing is the ability that it offers to write programs in a completely new way. For example, a quantum computer could incorporate a programming sequence that would be along the lines of “take all the superpositions of all the prior computations” – something which is meaningless with a classical computer – which would permit extremely fast ways of solving certain mathematical problems, such as factorization of large numbers, one example of which we discuss below.
There have been two notable successes thus far with quantum programming. The first occurred in 1994 by Peter Shor, (now at AT&T Labs) who developed a quantum algorithm that could efficiently factorize large numbers. It centers on a system that uses number theory to estimate the periodicity of a large number sequence. The other major breakthrough happened with Lov Grover of Bell Labs in 1996, with a very fast algorithm that is proven to be the fastest possible for searching through unstructured databases. The algorithm is so efficient that it requires only, on average, roughly N square root (where N is the total number of elements) searches to find the desired result, as opposed to a search in classical computing, which on average needs N/2 searches.
The above sounds promising, but there are tremendous obstacles still to be overcome. Some of the problems with quantum computing are as follows:
Even though there are many problems to overcome, the breakthroughs in the last 15 years, and especially in the last 3, have made some form of practical quantum computing not unfeasible, but there is much debate as to whether this is less than a decade away or a hundred years into the future. However, the potential that this technology offers is attracting tremendous interest from both the government and the private sector. Military applications include the ability to break encryptions keys via brute force searches, while civilian applications range from DNA modeling to complex material science analysis. It is this potential that is rapidly breaking down the barriers to this technology, but whether all barriers can be broken, and when, is very much an open question.
A lot of research on the fundamentals of quantum computing has been devoted to error correction. Part of the difficulty stems from another of the key properties of quantum systems: Superpositions can only be sustained as long as you dont measure the qubits value. If you make a measurement, the superposition collapses to a definite value: 1 or 0. So how can you find out if a qubit has an error if you dont know what state it is in?
One ingenious scheme involves looking indirectly, by coupling the qubit to another ancilla qubit that doesnt take part in the calculation but that can be probed without collapsing the state of the main qubit itself. Its complicated to implement, though. Such solutions mean that, to construct a genuine logical qubit on which computation with error correction can be performed, you need many physical qubits.
How many? Quantum theorist Aln Aspuru-Guzik of Harvard University estimates that around 10,000 of todays physical qubits would be needed to make a single logical qubit a totally impractical number. If the qubits get much better, he said, this number could come down to a few thousand or even hundreds. Eisert is less pessimistic, saying that on the order of 800 physical qubits might already be enough, but even so he agrees that the overhead is heavy, and for the moment we need to find ways of coping with error-prone qubits.
An alternative to correcting errors is avoiding them or canceling out their influence: so-called error mitigation. Researchers at IBM, for example, are developing schemes for figuring out mathematically how much error is likely to have been incurred in a computation and then extrapolating the output of a computation to the zero noise limit.
Some researchers think that the problem of error correction will prove intractable and will prevent quantum computers from achieving the grand goals predicted for them. The task of creating quantum error-correcting codes is harder than the task of demonstrating quantum supremacy, said mathematician Gil Kalai of the Hebrew University of Jerusalem in Israel. And he adds that devices without error correction are computationally very primitive, and primitive-based supremacy is not possible. In other words, youll never do better than classical computers while youve still got errors.
Others believe the problem will be cracked eventually. According to Jay Gambetta, a quantum information scientist at IBMs Thomas J. Watson Research Center, Our recent experiments at IBM have demonstrated the basicelementsof quantum error correction onsmalldevices, paving the way towards larger-scaledevices where qubits canreliablystorequantum informationfor a long period of time inthepresence of noise. Even so, he admits that a universal fault-tolerant quantum computer, which has to use logical qubits, is still along way off. Such developments make Childs cautiously optimistic. Im sure well see improved experimental demonstrations of [error correction], but I think it will be quite a while before we see it used for a real computation, he said.
For the time being, quantum computers are going to be error-prone, and the question is how to live with that. At IBM, researchers are talking about approximate quantum computing as the way the field will look in the near term: finding ways of accommodating the noise.
This calls for algorithms that tolerate errors, getting the correct result despite them. Its a bit like working out the outcome of an election regardless of a few wrongly counted ballot papers. A sufficiently large and high-fidelity quantum computation should have some advantage [over a classical computation] even if it is not fully fault-tolerant, said Gambetta.
One of the most immediate error-tolerant applications seems likely to be of more value to scientists than to the world at large: to simulate stuff at the atomic level. (This, in fact, was the motivation that led Feynman to propose quantum computing in the first place.) The equations of quantum mechanics prescribe a way to calculate the properties such as stability and chemical reactivity of a molecule such as a drug. But they cant be solved classically without making lots of simplifications.
In contrast, the quantum behavior of electrons and atoms, said Childs, is relatively close to the native behavior of a quantum computer. So one could then construct an exact computer model of such a molecule. Many in the community, including me, believe that quantum chemistry and materials science will be one of the first usefulapplications of such devices, said Aspuru-Guzik, who has been at the forefront of efforts to push quantum computing in this direction.
Quantum simulations are proving their worth even on the very small quantum computers available so far. A team of researchers including Aspuru-Guzik has developed an algorithm that they call the variational quantum eigensolver (VQE), which can efficiently find the lowest-energy states of molecules even with noisy qubits. So far it can only handle very small molecules with few electrons, which classical computers can already simulate accurately. But the capabilities are getting better, as Gambetta and coworkers showed last September when they used a 6-qubit device at IBM to calculate the electronic structures of molecules, including lithium hydride and beryllium hydride. The work was a significant leap forward for the quantum regime, according to physical chemist Markus Reiher of the Swiss Federal Institute of Technology in Zurich, Switzerland. The use of the VQE for the simulation of small molecules is a great example of the possibility of near-term heuristic algorithms, said Gambetta.
But even for this application, Aspuru-Guzik confesses that logical qubits with error correction will probably be needed before quantum computers truly begin to surpass classical devices. I would be really excited when error-corrected quantum computing begins to become a reality, he said.
If we had more than 200 logical qubits, we could do things in quantum chemistry beyond standard approaches, Reiher adds. And if we had about 5,000 such qubits, then the quantum computer would be transformative in this field.
Despite the challenges of reaching those goals, the fast growth of quantum computers from 5 to 50 qubits in barely more than a year has raised hopes. But we shouldnt get too fixated on these numbers, because they tell only part of the story. What matters is not just or even mainly how many qubits you have, but how good they are, and how efficient your algorithms are.
Any quantum computation has to be completed before decoherence kicks in and scrambles the qubits. Typically, the groups of qubits assembled so far have decoherence times of a few microseconds. The number of logic operations you can carry out during that fleeting moment depends on how quickly the quantum gates can be switched if this time is too slow, it really doesnt matter how many qubits you have at your disposal. The number of gate operations needed for a calculation is called its depth: Low-depth (shallow) algorithms are more feasible than high-depth ones, but the question is whether they can be used to perform useful calculations.
Whats more, not all qubits are equally noisy. In theory it should be possible to make very low-noise qubits from so-called topological electronic states of certain materials, in which the shape of the electron states used for encoding binary information confers a kind of protection against random noise. Researchers at Microsoft, most prominently, are seeking such topological states in exotic quantum materials, but theres no guarantee that theyll be found or will be controllable.
Researchers at IBM have suggested that the power of a quantum computation on a given device be expressed as a number called the quantum volume, which bundles up all the relevant factors: number and connectivity of qubits, depth of algorithm, and other measures of the gate quality, such as noisiness. Its really this quantum volume that characterizes the power of a quantum computation, and Gambetta said that the best way forward right now is to develop quantum-computational hardware that increases the available quantum volume.
This is one reason why the much vaunted notion of quantum supremacy is more slippery than it seems. The image of a 50-qubit (or so) quantum computer outperforming a state-of-the-art supercomputer sounds alluring, but it leaves a lot of questions hanging. Outperforming for which problem? How do you know the quantum computer has got the right answer if you cant check it with a tried-and-tested classical device? And how can you be sure that the classical machine wouldnt do better if you could find the right algorithm?
So quantum supremacy is a concept to handle with care. Some researchers prefer now to talk about quantum advantage, which refers to the speedup that quantum devices offer without making definitive claims about what is best. An aversion to the word supremacy has also arisen because of the racial and political implications.
Whatever you choose to call it, a demonstration that quantum computers can do things beyond current classical means would be psychologically significant for the field. Demonstrating an unambiguous quantum advantage will be an important milestone, said Eisert it would prove that quantum computers really can extend what is technologically possible.
That might still be more of a symbolic gesture than a transformation in useful computing resources. But such things may matter, because if quantum computing is going to succeed, it wont be simply by the likes of IBM and Google suddenly offering their classy new machines for sale. Rather, itll happen through an interactive and perhaps messy collaboration between developers and users, and the skill set will evolve in the latter only if they have sufficient faith that the effort is worth it. This is why both IBM and Google are keen to make their devices available as soon as theyre ready. As well as a 16-qubit IBM Q experience offered to anyone who registers online, IBM now has a 20-qubit version for corporate clients, including JP Morgan Chase, Daimler, Honda, Samsung and the University of Oxford. Not only will that help clients discover whats in it for them; it should create a quantum-literate community of programmers who will devise resources and solve problems beyond what any individual company could muster.
For quantum computing to take traction and blossom, we must enable the world to use and to learn it, said Gambetta. This period is for the world of scientists and industry to focus on getting quantum-ready.
See the rest here:
The Era of Quantum Computing Is Here. Outlook: Cloudy …
Quantum computing is still a long way off delivering any actual tangible benefits, but that doesnt mean we cant appreciate it in other ways. Like, for example, this ASMR-style video made inside IBMs new Q computation center a research lab where the company is hard at work on its quantum computing hardware.
Like similar experiments run by Google and Microsoft, this means using things called qubits to create mind-blowingly powerful computers. In theory, anyway. While theres plenty of hype about quantum computing, the actual machines weve made to date are too slow and temperamental to be of practical use. Meanwhile, experts say commercial companies are making unjustified claims about their hardware, and theres not even any consensus on whether or not were building the right type of quantum computer. All of which is to say: dont hold your breath waiting for the Age of Quantum.
IBM is still bullish, though, and published this video last month to promote its new IBM Q Network a partnership of academic and industry players who will explore how quantum computers could improve various fields in the future. The company says proper quantum computing is just around the corner. We say, maybe, but in the meantime, just listen to those ventilators sing.