Archive for the ‘Quantum Computing’ Category

Physicists Need to Be More Careful with How They Name Things – Scientific American

In 2012, the quantum physicist John Preskill wrote, We hope to hasten the day when well controlled quantum systems can perform tasks surpassing what can be done in the classical world. Less than a decade later, two quantum computing systems have met that mark: Googles Sycamore, and the University of Science and Technology of Chinas Jizhng. Both solved narrowly designed problems that are, so far as we know, impossible for classical computers to solve quickly. How quickly? How impossible? To solve a problem that took Jizhng 200 seconds, even the fastest supercomputers are estimated to take at least two billion years.

Describing what then may have seemed a far-off goal, Preskill gave it a name: quantum supremacy. In a blog post at the time, he explained Im not completely happy with this term, and would be glad if readers could suggest something better.

Were not happy with it either, and we believe that the physics community should be more careful with its language, for both social and scientific reasons. Even in the abstruse realms of matter and energy, language matters because physics is done by people.

The word supremacyhaving more power, authority or status than anyone elseis closely linked to white supremacy. This isnt supposition; its fact. The Corpus of Contemporary American English finds white supremacy is 15 times more frequent than the next most commonly used two-word phrase, judicial supremacy. Though English is the global lingua franca of science, it is notable that the USTC team avoided quantum supremacy because in Chinese, the character meaning supremacy also has uncomfortable, negative connotations. The problem is not confined merely to English.

White supremacist movements have grown around the globe in recent years, especially in the United States, partly as a racist backlash to the Black Lives Matter movement. As Preskill has recently acknowledged, the word unavoidably evokes a repugnant political stance.

Quantum supremacy has also become a buzzword in popular media (for example, here and here). Its suggestion of domination may have contributed to unjustified hype, such as the idea that quantum computers will soon make classical computers obsolete. Tamer alternatives such as quantum advantage, quantum computational supremacy and even quantum ascendancy have been proposed, but none have managed to supplant Preskills original term. More jargony proposals like Noisy Intermediate Scale Quantum computing (NISQ) and tongue-in-cheek suggestions like quantum non-uselessness have similarly failed to displace supremacy.

Here, we propose an alternative we believe succinctly captures the scientific implications with less hype andcruciallyno association with racism: quantum primacy.

Whats in a name? Its not just that quantum supremacy by any other name would smell sweeter. By making the case for quantum primacy we hope to illustrate some of the social and scientific issues at hand. In President Joe Bidens letter to his science adviser, the biologist Eric Lander, he asks How can we ensure that Americans of all backgrounds are drawn into both the creation and the rewards of science and technology? One small change can be in the language we use. GitHub, for example, abandoned the odious master/slave terminology after pressure from activists.

Were physics, computer science and engineering more diverse, perhaps we would not still be having this discussion, which one of us wrote about four years ago. But in the U.S., when only 2 percent of bachelors degrees in physics are awarded to Black students, when Latinos comprise less than 7 percent of engineers, and women account for a mere 12 percent of full professors in physics, this is a conversation that needs to happen. As things stand, quantum supremacy can come across as adding insult to injury.

The nature of quantum computing, and its broad interest to the public outside of industry laboratories and academia means that the debate around quantum supremacy was inevitably going to be included in the broader culture war.

In 2019, a short correspondence to Nature argued that the quantum computing community should adopt different terminology to avoid overtones of violence, neocolonialism and racism. Within days, the dispute was picked up by the conservative editorial pages of the Wall Street Journal, which attacked quantum wokeness and suggested that changing the term would be a slippery slope all the way down to cancelling Diana Ross The Supremes.

The linguist Steven Pinker weighed in to argue that the prissy banning of words by academics should be resisted. It dumbs down understanding of language: word meanings are conventions, not spells with magical powers, and all words have multiple senses, which are distinguished in context. Also, it makes academia a laughingstock, tars the innocent, and does nothing to combat actual racism & sexism.

It is true that supremacy is not a magic word, that its meaning comes from convention, not conjurers. But the context of quantum supremacy, which Pinker neglects, is that of a historically white, male-dominated discipline. Acknowledging this by seeking better language is a basic effort to be polite, not prissy.

Perhaps the most compelling argument raised in favor of quantum supremacy is that it could function to reclaim the word. Were quantum supremacy 15 times more common than white supremacy, the shoe would be on the other foot. Arguments for reclamation, however, must account for who is doing the reclaiming. If the charge to take back quantum supremacy were led by Black scientists and other underrepresented minorities in physics, that would be one thing. No survey exists, but anecdotal evidence suggests this is decidedly not the case.

To replace supremacy, we need to have a thoughtful conversation. Not any alternative will do, and there is genuinely tricky science at stake. Consider the implications of quantum advantage. An advantage might be a stepladder that makes it easier to reach a high shelf, or a small head start in a race. Some quantum algorithms are like this. Grovers search algorithm is only quadratically faster than its classical counterpart, so a quantum computer running Grovers algorithm might solve a problem that took classical computers 100 minutes in the square root of that time10 minutes. Not bad! Thats definitely an advantage, especially as runtimes get longer, but it doesnt compare to some quantum speedups.

Perhaps the most famous quantum speedup comes from Shor's algorithm, which can find the factors of numbers (e.g. 5 and 3 are factors of 15) almost exponentially faster than the best classical algorithms. While classical computers are fine with small numbers, every digit takes a toll. For example, a classical computer might factor a 100-digit number in seconds, but a 1000-digit number would take billions of years. A quantum computer running Shor's algorithm could do it in an hour.

When quantum computers can effectively do things that are impossible for classical computers, they have something much more than an advantage. We believe primacy captures much of this meaning. Primacy means preeminent position or the condition of being first. Additionally, it shares a Latin root (primus, or first) with mathematical terms such as prime and primality.

While quantum computers may be first to solve a specific problem, that does not imply they will dominate; we hope quantum primacy helps avoid the insinuation that classical computers will be obsolete. This is especially important because quantum primacy is a moving target. Classical computers and classical algorithms can and do improve, so quantum computers will have to get bigger and better to stay ahead.

These kinds of linguistic hotfixes do not reach even a bare minimum for diversifying science; the most important work involves hiring and retention and actual material changes to the scientific community to make it less white and male. But if opposition to improving the language of science is any indication about broader obstacles to diversifying it, this is a conversation we must have.

Physicists may prefer vacuums for calculation, but science does not occur in one. It is situated in the broader social and political landscape, one which both shapes and is shaped by the decisions of researchers.

This is an opinion and analysis article.

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Physicists Need to Be More Careful with How They Name Things - Scientific American

Experience: With a PhD, the plan is to expand human knowledge – The Guardian

When Zak Romaszko finished his physics degree at the University of Liverpool, a PhD in computing was his obvious next step. I have always been fascinated with computers, says the 27-year-old. I broke my dads PC when I was younger and he was away in the forces, so I had to fix it myself. His interest grew from there, but Romaszkos choice of focus for his research isnt just any type of computing but the cutting-edge quantum variety.

Thought by many to be the next step in the field, and key to solving complex problems in a manageable amount of time, quantum computers use quantum bits rather than the regular bits used by standard computers.

It will be able to solve problems that might take computers millions and billions of years in timescales that are more realistic to humans, says Romaszko. It seemed to be that this would be the way forward in how big calculations would be done in the future.

He found an opportunity to undertake a PhD at the University of Sussex with Prof Winfried Hensinger a subject expert linked to making an ion trap quantum computer, the next step in the computers of the future. Romaszko, who is from Barnoldswick in Lancashire, spent four years on the project as part of the universitys Ion Quantum Technology group, graduating in June 2020. He has now joined a spin-off company founded by Hensinger called Universal Quantum, which is looking to commercialise the technology to make a large-scale quantum computer.

My PhD focused on how we would scale this technology from the level we are at now and get to the point where we need to be to make a truly useful quantum computer, he says.

It sounds like science fiction but Romaszko explains that quantum computers could hold the key to solving some major issues in our world today. People are looking into things like simulation of chemicals and materials and understanding how medicines interact within the body and AI applications, he says.

While it may be difficult to grasp the scale of the computing power at work in the quantum, Romaszko is thrilled to be pushing the boundaries. With a PhD youre basically learning about a field and a very narrow area of science that you just plan to push out a little bit further and expand human knowledge. Its really exciting.

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Experience: With a PhD, the plan is to expand human knowledge - The Guardian

One Computer to Rule Them All. Quantum Computing 101 | by Dickson Wu | Feb, 2021 | Medium – Medium

There are 2 types of computers: Classical and Quantum Computers

The reason why quantum computers have such a ridiculous speed advantage is due to their quantum properties. These quantum properties allow for quantum computers to be extremely fast compared to classical computers.

Since quantum computers are based on classical computers, many of the concepts and components of quantum computers are similar to classical computers.

In classical computers, the lowest level of computation is within the bits. Everything that youre seeing right now is due to the transistors in your computer switching the bits on or off. These bits are represented in 0s and 1s.

Now heres the cool part. By themselves, they can only represent 2 states: 0 & 1. But if you have 2 bits, you can represent 4 states: 00, 01, 10, 11. The number of states is equal to 2 to the power of the number of bits there are.

The property of regular bits is that they can only represent 1 state at a time. But quantum bits take that property to the next level

A quantum phenomenon that quantum computers use extensively is called superposition. Lets use an analogy! A coin has 2 states: heads or tails. But when you spin the coin, what state is it? Its both heads and tails!

Now replace a coin with a bit. A qubit is just a bit thats both 0 and 1 at the same time! This enables it to take many states at once. For example, with 1 qubit you can be in 2 states at once. But with 2 qubits its 4 states at the same time, and with 4 qubits its 16!

The major difference between classical and quantum bits is classical bits can only be in 1 state at a time, while qubits can be in many states at the same time!

This has lots of benefits that well get into later, but lets get into what exactly we do with bits and qubits in a computer.

By themselves, bits are rather useless. But with the help of classical gates, were able to transform them into powerful and useful tools. Gates are like a function, they take in 1 or multiple bits and then spit out a result.

It is through the combination of these logic gates that give rise to functions like multiplication, division, displaying images, and playing sounds!

Much like how classical gates manipulate classical bits, quantum gates manipulate qubits. But theres a big difference! Since qubits have quantum properties we can have a lot more different gates and functions for them!

When qubits are in a superposition, they have a certain probability to be a 0 or a 1. It can have a 50/50 percent to be a 0 or 1, but it can also take on different states like 30/70 or 5/95. We refer to this as the qubit having different rotations.

There are lots of gates that play around with the rotation of the qubit like the Not, Pauli-Z and Hadamard gates! These gates rotate the qubit, but also play with the probabilities and states of the qubit. These gates are very similar to classical gates.

Another cool property of qubits is entanglement! This is when 2 qubits are intertwined with each other, such that when you look at 1 qubit, you automatically know the state of the other qubit!

Several gates use this property all of which are unique to quantum computing! There are CNOT, CZ, and Toffoli gates! These gates also use multiple qubits to produce an output.

Continued here:
One Computer to Rule Them All. Quantum Computing 101 | by Dickson Wu | Feb, 2021 | Medium - Medium

The Worldwide Quantum Computing Industry is Expected to Reach $1.7 Billion by 2026 – PRNewswire

DUBLIN, Feb. 16, 2021 /PRNewswire/ -- The "Global Quantum Computing Market with COVID-19 Impact Analysis by Offering (Systems, Services), Deployment (On Premises, Cloud-based), Application, Technology, End-use Industry and Region - Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.

The Global Quantum Computing Market is expected to grow from USD 472 million in 2021 to USD 1,765 million by 2026, at a CAGR of 30.2%.

The early adoption of quantum computing in the banking and finance sector is expected to fuel the growth of the market globally. Other key factors contributing to the growth of the quantum computing market include rising investments by governments of different countries to carry out research and development activities related to quantum computing technology.

Several companies are focusing on the adoption of QCaaS post-COVID-19. This, in turn, is expected to contribute to the growth of the quantum computing market. However, stability and error correction issues is expected to restrain the growth of the market.

Services segment is attributed to hold the largest share of the Quantum Computing market

The growth of services segment can be attributed to the increasing number of startups across the world that are investing in research and development activities related to quantum computing technology. This technology is used in optimization, simulation, and machine learning applications, thereby leading to optimum utilization costs and highly efficient operations in various end-use industries.

Cloud-based deployment to witness the highest growth in Quantum Computing market in coming years

With the development of highly powerful systems, the demand for cloud-based deployment of quantum computing systems and services is expected to increase. This, in turn, is expected to result in a significant revenue source for service providers, with users paying for access to noisy intermediate-scale quantum (NISQ) systems that can solve real-world problems. The limited lifespan of rapidly advancing quantum computing systems also favors cloud service providers. The flexibility of access offered to users is another factor fueling the adoption of cloud-based deployment of quantum computing systems and services. For the foreseeable future, quantum computers are expected not to be portable. Cloud can provide users with access to different devices and simulators from their laptops.

Optimization accounted for a major share of the overall Quantum Computing market

Optimization is the largest application for quantum computing and accounted for a major share of the overall Quantum Computing market. Companies such as D-Wave Systems, Cambridge Quantum Computing, QC Ware, and 1QB Information Technologies are developing quantum computing systems for optimization applications. Networked Quantum Information Technologies Hub (NQIT) is expanding to incorporate optimization solutions for resolving problems faced by the practical applications of quantum computing technology.

Trapped ions segment to witness highest CAGR of Quantum Computing market during the forecast period

The trapped ions segment of the market is projected to grow at the highest CAGR during the forecast period as quantum computing systems based on trapped ions offer more stability and better connectivity than quantum computing systems based on other technologies. IonQ, Alpine Quantum Technologies, and Honeywell are a few companies that use trapped ions technology in their quantum computing systems.

Banking and finance is attributed to hold major share of Quantum Computing market during the forecast period

In the banking and finance end-use industry, quantum computing is used for risk modeling and trading applications. It is also used to detect the market instabilities by identifying stock market risks and optimize the trading trajectories, portfolios, and asset pricing and hedging. As the financial sector is difficult to understand; the quantum computing approach is expected to help users understand the complexities of the banking and finance end-use industry. Moreover, it can help traders by suggesting them solutions to overcome financial challenges.

APAC to witness highest growth of Quantum Computing market during the forecast period

APAC region is a leading hub for several industries, including healthcare and pharmaceuticals, banking and finance, and chemicals. Countries such as China, Japan, and South Korea are the leading manufacturers of consumer electronics, including smartphones, laptops, and gaming consoles, in APAC. There is a requirement to resolve complications in optimization, simulation, and machine learning applications across these industries. The large-scale development witnessed by emerging economies of APAC and the increased use of advanced technologies in the manufacturing sector are contributing to the development of large and medium enterprises in the region. This, in turn, is fueling the demand for quantum computing services and systems in APAC.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights4.1 Attractive Opportunities in Quantum Computing Market4.2 Market, by Offering4.3 Market, by Deployment4.4 Market in APAC, by Application and Country4.5 Market, by Technology4.6 Quantum Computing Market, by End-use Industry4.7 Market, by Region

5 Market Overview5.1 Introduction5.2 Market Dynamics5.2.1 Drivers5.2.1.1 Early Adoption of Quantum Computing in Banking and Finance Industry5.2.1.2 Rise in Investments in Quantum Computing Technology5.2.1.3 Surge in Number of Strategic Partnerships and Collaborations to Carry Out Advancements in Quantum Computing Technology5.2.2 Restraints5.2.2.1 Stability and Error Correction Issues5.2.3 Opportunities5.2.3.1 Technological Advancements in Quantum Computing5.2.3.2 Surge in Adoption of Quantum Computing Technology for Drug Discovery5.2.4 Challenges5.2.4.1 Dearth of Highly Skilled Professionals5.2.4.2 Physical Challenges Related to Use of Quantum Computers5.3 Value Chain Analysis5.4 Ecosystem5.5 Porter's Five Forces Analysis5.6 Pricing Analysis5.7 Impact of COVID-19 on Quantum Computing Market5.7.1 Pre-COVID-195.7.2 Post-COVID-195.8 Trade Analysis5.9 Tariff and Regulatory Standards5.9.1 Regulatory Standards5.9.1.1 P1913 - Software-Defined Quantum Communication5.9.1.2 P7130 - Standard for Quantum Technologies Definitions5.9.1.3 P7131 - Standard for Quantum Computing Performance Metrics and Benchmarking5.10 Technology Analysis5.11 Patent Analysis5.12 Case Studies

6 Quantum Computing Market, by Offering6.1 Introduction6.2 Systems6.2.1 Deployment of on Premises Quantum Computers at Sites of Clients6.3 Services6.3.1 Quantum Computing as a Service (QCaaS)6.3.1.1 Risen Number of Companies Offering QCaaS Owing to Increasing Demand for Cloud-Based Systems and Services6.3.2 Consulting Services6.3.2.1 Consulting Services Provide Customized Roadmaps to Clients to Help Them in Adoption of Quantum Computing Technology

7 Quantum Computing Market, by Deployment7.1 Introduction7.2 on Premises7.2.1 Deployment of on Premises Quantum Computers by Organizations to Ensure Data Security7.3 Cloud-based7.3.1 High Costs and Deep Complexity of Quantum Computing Systems and Services Drive Enterprises Toward Cloud Deployments

8 Quantum Computing Market, by Application8.1 Introduction8.2 Optimization8.2.1 Optimization Using Quantum Computing Technology Resolves Problems in Real-World Settings8.3 Machine Learning8.3.1 Risen Use of Machine Learning in Various End-use Industries8.4 Simulation8.4.1 Simulation Helps Scientists Gain Improved Understanding of Molecule and Sub-Molecule Level Interactions8.5 Others

9 Quantum Computing Market, by Technology9.1 Introduction9.2 Superconducting Qubits9.2.1 Existence of Superconducting Qubits in Series of Quantized Energy States9.3 Trapped Ions9.3.1 Surged Use of Trapped Ions Technology in Quantum Computers9.4 Quantum Annealing9.4.1 Risen Use of Quantum Annealing Technology for Solving Optimization Problems in Enterprises9.5 Others (Topological and Photonic)

10 Quantum Computing Market, by End-use Industry10.1 Introduction10.2 Space and Defense10.2.1 Risen Use of Quantum Computing in Space and Defense Industry to Perform Multiple Operations Simultaneously10.3 Banking and Finance10.3.1 Simulation Offers Assistance for Investment Risk Analysis and Decision-Making Process in Banking and Finance Industry10.4 Healthcare and Pharmaceuticals10.4.1 Surged Demand for Robust and Agile Computing Technology for Drug Simulation in Efficient and Timely Manner10.5 Energy and Power10.5.1 Increased Requirement to Develop New Energy Sources and Optimize Energy Delivery Process10.6 Chemicals10.6.1 Establishment of North America and Europe as Lucrative Markets for Chemicals10.7 Transportation and Logistics10.7.1 Surged Use of Quantum-Inspired Approaches to Optimize Traffic Flow10.8 Government10.8.1 Increased Number of Opportunities to Use Quantum Computing to Solve Practical Problems of Climate Change, Traffic Management, Etc.10.9 Academia10.9.1 Risen Number of Integrated Fundamental Quantum Information Science Research Activities to Fuel Market Growth

11 Geographic Analysis11.1 Introduction11.2 North America11.3 Europe11.4 APAC11.5 RoW

12 Competitive Landscape12.1 Introduction12.2 Revenue Analysis of Top Players12.3 Market Share Analysis, 201912.4 Ranking Analysis of Key Players in Market12.5 Company Evaluation Quadrant12.5.1 Quantum Computing Market12.5.1.1 Star12.5.1.2 Emerging Leader12.5.1.3 Pervasive12.5.1.4 Participant12.5.2 Startup/SME Evaluation Matrix12.5.2.1 Progressive Company12.5.2.2 Responsive Company12.5.2.3 Dynamic Company12.5.2.4 Starting Block12.6 Competitive Scenario12.7 Competitive Situations and Trends12.7.1 Other Strategies

13 Company Profiles13.1 Key Players13.1.1 International Business Machines (IBM)13.1.2 D-Wave Systems13.1.3 Microsoft13.1.4 Amazon13.1.5 Rigetti Computing13.1.6 Google13.1.7 Intel13.1.8 Toshiba13.1.9 Honeywell International13.1.10 QC Ware13.1.11 1QB Information Technologies13.1.12 Cambridge Quantum Computing13.20 Other Companies13.2.1 Huawei Technologies13.2.2 Bosch13.2.3 NEC13.2.4 Hewlett Packard Enterprise (HP)13.2.5 Nippon Telegraph and Telephone Corporation (NTT)13.2.6 Hitachi13.2.7 Northrop Grumman13.2.8 Accenture13.2.9 Fujitsu13.2.10 Quantica Computacao13.2.11 Zapata Computing13.2.12 Xanadu13.2.13 IonQ13.2.14 Riverlane13.2.15 Quantum Circuits13.2.16 EvolutionQ13.2.17 ABDProf13.2.18 Anyon Systems

14 Appendix14.1 Discussion Guide14.2 Knowledge Store: The Subscription Portal14.3 Available Customizations

For more information about this report visit https://www.researchandmarkets.com/r/8pglda

Media Contact:

Research and Markets Laura Wood, Senior Manager [emailprotected]

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The Worldwide Quantum Computing Industry is Expected to Reach $1.7 Billion by 2026 - PRNewswire

Kangaroo Court: Quantum Computing Thinking on the Future – JD Supra

The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor.

Quantum computing is a beautiful fusion of quantum physics with computer science. It incorporates some of the most stunning ideas of physics from the twentieth century into an entirely new way of thinking about computation. Quantum computers have the potential to resolve problems of a high complexity and magnitude across many different industries and application, including finance, transportation, chemicals, and cybersecurity. Solving the impossible in a few hours of computing time.

Quantum computing is often in the news: China teleported a qubit from earth to a satellite; Shors algorithm has put our current encryption methods at risk; quantum key distribution will make encryption safe again; Grovers algorithm will speed up data searches. But what does all this really mean? How does it all work?

Todays computers operate in a very straightforward fashion: they manipulate a limited set of data with an algorithm and give you an answer. Quantum computers are more complicated. After multiple units of data are input into qubits, the qubits are manipulated to interact with other qubits, allowing for several calculations to be done simultaneously. Thats where quantum computers are a lot faster than todays machines.

Quantum computers have four fundamental capabilities that differentiate them from todays classical computers:

All computations involve inputting data, manipulating it according to certain rules, and then outputting the final answer. For classical computations, the bit is the basic unit of data. For quantum computation, this unit is the quantum bit usually shortened to qubit.

The basic unit of quantum computing is a qubit. A classical bit is either 0 or 1. If its 0 and we measure it, we get 0. If its 1 and we measure 1, we get 1. In both cases the bit remains unchanged. The standard example is an electrical switch that can be either on or off. The situation is totally different for qubits. Qubits are volatile. A qubit can be in one of an infinite number of states a superposition of both 0 and 1 but when we measure it, as in the classical case, we just get one of two values, either 0 or 1. Qubits can also become entangled. In fact, the act of measurement changes the qubit. When we make a measurement of one of them, it affects the state of the other. Whats more, they interact with other qubits. In fact, these interactions are what make it possible to conduct multiple calculations at once.

Nobody really knows quite how or why entanglement works. It even baffled Einstein, who famously described it as spooky action at a distance. But its key to the power of quantum computers. In a conventional computer, doubling the number of bits doubles its processing power. But thanks to entanglement, adding extra qubits to a quantum machine produces an exponential increase in its number-crunching ability.

These three things superposition, measurement, and entanglement are the key quantum mechanical ideas. Controlling these interactions, however, is very complicated. The volatility of qubits can cause inputs to be lost or altered, which can throw off the accuracy of results. And creating a computer of meaningful scale would require hundreds of thousands of millions of qubits to be connected coherently. The few quantum computers that exist today can handle nowhere near that number. But the good news is were getting very, very close.

Quantum computing and classical computer are not two distinct disciplines. Quantum computing is the more fundamental form of computing anything that can be computed classically can be computed on a quantum computer. The qubit is the basic unit of computation, not the bit. Computation, in its essence, really means quantum computing. A qubit can be represented by the spin of an electron or the polarization of a photon.

In 2019 Google achieved a level of quantum supremacy when they reported the use of a processor with programmable superconducting qubits to create quantum states on 54 qubits, corresponding to a computational state-space of dimension 253(about 1016). This incredible achievement was slightly short of their mission goal for creating quantum states of 72 qubits. What is so special about this number? Classical computers can simulate quantum computers if the quantum computer doesnt have too many qubits, but as the number of qubits increases we reach the point where that is no longer possible.

There are 8 possible three-bit combinations: 000,001, 010, 011, 100, 101, 110, 111. The number 8 comes from 23. There are two choices for the first bit, two for the second and two for the third, and we might multiple these three 2s together. If instead of bits we switch to qubits, each of these 8 three-bit strings is associated with a basis vector, so the vector space is 8-dimensional. If we have 72 qubits, the number of basis elements is 2. This is about 4,000,000,000,000,000,000,000. It is a large number and is considered to be the point at which classical computers cannot simulate quantum computers. Once quantum computers have more than 72 or so qubits we truly enter the age of quantum supremacy when quantum computers can do computations that are beyond the ability of any classical computer.

To provide a little more perspective, lets consider a machine with 300 qubits. This doesnt seem an unreasonable number of the not too distant future. But 2300 is an enormous number. Its more than the number of elementary particles in the known universe. A computation using 300 qubits would be working with 2300 basis elements.

Some calculations required for the effective simulation of real-life scenarios are simply beyond the capability of classical computers whats known as intractable problems. Quantum computers, with their huge computational power, are ideally suited to solving these problems. Indeed, some problems, like factoring, are hard on a classical computer, but are easy on a quantum computer. This creates a world of opportunities, across almost every aspect of modern life.

Healthcare: classical computers are limited in terms of size and complexity of molecules they can simulate and compare (an essential process of early drug development). Quantum computers will allow much larger molecules to be simulated. At the same time, researchers will be able to model and simulate interactions between drugs and all 20,000+ proteins encoded in the human genome, leading to greater advancements in pharmacology.

Finance: one potential application is algorithmic trading using complex algorithms to automatically trigger share dealings based on a wide variety of market variables. The advantages, especially for high-volume transactions, are significant. Another application is fraud detection. Like diagnostics in healthcare, fraud detection is reliant upon pattern recognition. Quantum computers could deliver a significant improvement in machine learning capabilities; dramatically reducing the time taken to train a neural network and improving the detection rate.

Logistics: Improved data analysis and modelling will enable a wide range of industries to optimize workflows associated with transport, logistics and supply-chain management. The calculation and recalculation of optimal routes could impact on applications as diverse as traffic management, fleet operations, air traffic control, freight and distribution.

It is, of course, impossible to predict the long-term impact of quantum computing with any accuracy. Quantum computing is now in its infancy, and the comparison to the first computers seems apt. The machines that have been constructed so far tend to be large and not very powerful, and they often involve superconductors that need cooled to extremely low temperatures. To minimize the interaction of quantum computers with the environment, they are always protected from light and heat. They are shieled against electromagnetic radiation, and they are cooled. One thing that can happen in cold places is that certain materials become superconductors they lose all electrical resistance and superconductors have quantum properties that can be exploited.

Many countries are experimenting with small quantum networks using optic fiber. There is the potential of connecting these via satellite and being able to form a worldwide quantum network. This work is of great interest to financial institutions. One early impressive result involves a Chinese satellite that is devoted to quantum experiments. Its named Micius after a Chinese philosopher who did work in optics. A team in China connected to a team in Austria the first time that intercontinental quantum key distribution (QKD) had been achieved. Once the connection was secured, the teams sent pictures to one another. The Chinese team sent the Austrians a picture of Micius, and the Austrians sent a picture of Schrodinger to the Chinese.

To actually make practical quantum computers you need to solve a number of problems, the most serious being decoherence the problem of your qubit interacting with something from the environment that is not part of the computation. You need to set a qubit to an initial state and keep it in that state until you need to use it. Their quantum state is extremely fragile. The slightest vibration or change in temperature disturbances known as noise in quantum-speak can cause them to tumble out of superposition before their job has been properly done. Thats why researchers are doing the best to protect qubits from the outside world in supercooled fridges and vacuum chambers.

Alan Turing is one of the fathers of the theory of computation. In his landmark paper of 1936 he carefully thought about computation. He considered what humans did as they performed computations and broke it down to its most elemental level. He showed that a simple theoretical machine, which we now call a Turing machine, could carry out any algorithm. But remember, Turing was analyzing computation based on what humans do. With quantum computation the focus changes from how humans compute to how the universe computes. Therefore, we should think of quantum computation as not a new type of computation but as the discovery of the true nature of computation.

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Kangaroo Court: Quantum Computing Thinking on the Future - JD Supra