Pacific Northwest National Laboratory computer scientist Sriram Krishnamoorthy. (PNNL Photo)

Imagine a future where new therapeutic drugs are designed far faster and at a fraction of the cost they are today, enabled by the rapidly developing field of quantum computing.

The transformation on healthcare and personalized medicine would be tremendous, yet these are hardly the only fields this novel form of computing could revolutionize. From cryptography to supply-chain optimization to advances in solid-state physics, the coming era of quantum computers could bring about enormous changes, assuming its potential can be fully realized.

Yet many hurdles still need to be overcome before all of this can happen. This one of the reasons the Pacific Northwest National Laboratory and Microsoft have teamed up to advance this nascent field.

The developer of the Q# programming language, Microsoft Quantum recently announced the creation of an intermediate bridge that will allow Q# and other languages to be used to send instructions to different quantum hardware platforms. This includes the simulations being performed on PNNLs own powerful supercomputers, which are used to test the quantum algorithms that could one day run on those platforms. While scalable quantum computing is still years away, these simulations make it possible to design and test many of the approaches that will eventually be used.

We have extensive experience in terms of parallel programming for supercomputers, said PNNL computer scientist Sriram Krishnamoorthy. The question was, how do you use these classical supercomputers to understand how a quantum algorithm and quantum architectures would behave while we build these systems?

Thats an important question given that classical and quantum computing are so extremely different from each other. Quantum computing isnt Classical Computing 2.0. A quantum computer is no more an improved version of a classical computer than a lightbulb is a better version of a candle. While you might use one to simulate the other, that simulation will never be perfect because theyre such fundamentally different technologies.

Classical computing is based on bits, pieces of information that are either off or on to represent a zero or one. But a quantum bit, or qubit, can represent a zero or a one or any proportion of those two values at the same time. This makes it possible to perform computations in a very different way.

However, a qubit can only do this so long as it remains in a special state known as superposition. This, along with other features of quantum behavior such as entanglement, could potentially allow quantum computing to answer all kinds of complex problems, many of which are exponential in nature. These are exactly the kind of problems that classical computers cant readily solve if they can solve them at all.

For instance, much of the worlds electronic privacy is based on encryption methods that rely on prime numbers. While its easy to multiply two prime numbers, its extremely difficult to reverse the process by factoring the product of two primes. In some cases, a classical computer could run for 10,000 years and still not find the solution. A quantum computer, on the other hand, might be capable of performing the work in seconds.

That doesnt mean quantum computing will replace all tasks performed by classical computers. This includes programming the quantum computers themselves, which the very nature of quantum behaviors can make highly challenging. For instance, just the act of observing a qubit can make it decohere, causing it to lose its superposition and entangled states.

Such challenges drive some of the work being done by Microsoft Azures Quantum group. Expecting that both classical and quantum computing resources will be needed for large-scale quantum applications, Microsoft Quantum has developed a bridge they call QIR, which stands for quantum intermediate representation. The motivation behind QIR is to create a common interface at a point in the programming stack that avoids interfering with the qubits. Doing this makes the interface both language- and platform-agnostic, which allows different software and hardware to be used together.

To advance the field of quantum computing, we need to think beyond just how to build a particular end-to-end system, said Bettina Heim, senior software engineering manager with Microsoft Quantum, during a recent presentation. We need to think about how to grow a global ecosystem that facilitates developing and experimenting with different approaches.

Because these are still very early days think of where classical computing was 75 years ago many fundamental components still need to be developed and refined in this ecosystem, including quantum gates, algorithms and error correction. This is where PNNLs quantum simulator, DM-SIM comes in. By designing and testing different approaches and configurations of these elements, they can discover better ways of achieving their goals.

As Krishnamoorthy explains: What we currently lack and what we are trying to build with this simulation infrastructure is a turnkey solution that could allow, say a compiler writer or a noise model developer or a systems architect, to try different approaches in putting qubits together and ask the question: If they do this, what happens?

Of course, there will be many challenges and disappointments along the way, such as an upcoming retraction of a 2018 paper in the journal, Nature. The original study, partly funded by Microsoft, declared evidence of a theoretical particle called a Majorana fermion, which could have been a major quantum breakthrough. However, errors since found in the data contradict that claim.

But progress continues, and once reasonably robust and scalable quantum computers are available, all kinds of potential uses could become possible. Supply chain and logistics optimization might be ideal applications, generating new levels of efficiency and energy savings for business. Since quantum computing should also be able to perform very fast searches on unsorted data, applications that focus on financial data, climate data analysis and genomics are likely uses, as well.

Thats only the beginning. Quantum computers could be used to accurately simulate physical processes from chemistry and solid-state physics, ushering in a new era for these fields. Advances in material science could become possible because well be better able to simulate and identify molecular properties much faster and more accurately than we ever could before. Simulating proteins using quantum computers could lead to new knowledge about biology that would revolutionize healthcare.

In the future, quantum cryptography may also become common, due to its potential for truly secure encrypted storage and communications. Thats because its impossible to precisely copy quantum data without violating the laws of physics. Such encryption will be even more important once quantum computers are commonplace because their unique capabilities will also allow them to swiftly crack traditional methods of encryption as mentioned earlier, rendering many currently robust methods insecure and obsolete.

As with many new technologies, it can be challenging to envisage all of the potential uses and problems quantum computing might bring about, which is one reason why business and industry need to become involved in its development early on. Adopting an interdisciplinary approach could yield all kinds of new ideas and applications and hopefully help to build what is ultimately a trusted and ethical technology.

How do you all work together to make it happen? asks Krishnamoorthy. I think for at least the next couple of decades, for chemistry problems, for nuclear theory, etc., well need this hypothetical machine that everyone designs and programs for at the same time, and simulations are going to be crucial to that.

The future of quantum computing will bring enormous changes and challenges to our world. From how we secure our most critical data to unlocking the secrets of our genetic code, its technology that holds the keys to applications, fields and industries weve yet to even imagine.

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How researchers are mapping the future of quantum computing, using the tech of today - GeekWire

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

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

Technology changes at a breakneck pace, and to be of any use, the security we rely on to protect that technology must change alongside it.

Cybersecurity solutions, in particular, must keep up with the evolving needs of hybrid enterprise networks that connect an ever-expanding mesh of cloud devices, on-prem legacy hardware and everything in between.

The next cybersecurity challenge lies with the advances in quantum computing that are set to revolutionize tech while simultaneously equipping threat actors with a new arsenal of cyberweapons.

The fourth industrial revolution is upon us. Its a bold claim are we really about to usher in an era as potentially impactful as the steam engine, the age of science and mass production and the initial rise of digital technology?

Well, yes. According to several high-profile industry experts who spoke at the Consumer Electronics Show (CES) 2021, advances in artificial intelligence (AI) and quantum computing are set to fundamentally change the way the world engages with technology.

As an emerging concept, the high-level technology industry has yet to arrive at a fully-consistent definition, but widespread consensus points to a focus on several key elements. The fourth industrial revolution will be marked by fundamental advances and interconnectivity between fields like:

Tying them all together is quantum computing, which we can define aswell, its not particularly simple to explain quantum computing for most of us. Even MIT, while trying to explain it like were five years old, refers to quantum computing as technology that harnesses some of the almost-mystical phenomena of quantum mechanics.

Still, its good to develop a high-level understanding so that we can view the impact on cybersecurity within a more informed context. The MIT explainer referenced above offers a relatively-accessible introduction, as does this Microsoft Azure guide. Without diving deep into a course on qubits, superposition and entanglement, however, we can also gain insight by considering how enterprises are already using quantum computing.

Volkswagen and Daimler, for example, are using quantum supercomputers to improve electric vehicle batteries based on chemical simulations. Simulating, at a molecular level, the behavior of matter is one way we will fundamentally change our approach to problem-solving in the age of quantum computing.

Quantum computing is based on technology weve yet to fully harness. However, the same constant remains true when it comes to bad actors: whatever the good guys understand about quantum computing, the bad guys do, too.

Unfortunately, there will always be an army of cyber criminals standing by, ready to apply their knowledge and talents to nefarious activity. Its safe to say that vulnerabilities will plague quantum systems just as theyve plagued every other next generation system.

In order for cybersecurity solutions to adequately guard quantum networks, they will need to address several key factors:

While each of these issues will require specific high-level and granular solutions, networks equipped with true self-learning AI capabilities will fare better when monitoring network activity, even as it occurs at whirlwind, quantum speeds.

MixModes predictive, proactive, efficient AI gives organizations a fighting chance at combating modern actors. Rules-based approaches are doomed to fail against cyberthreats in the quantum space.

On one level, its a simple matter of speed. The systems of tomorrow (and many of the systems of today) will move too quickly for modern SOCs to keep their security platforms up-to-date. Context-aware AI must live within enterprise systems in order to detect anomalies as they occur in such rapidly changing environments.

MixMode is ready to face quantum threats by thriving within quantum networks. MixMode is data- and feed-agnostic it can operate effectively and independently regardless of data format and type.

As systems rapidly expand and scale to allow for the increased data inputs organizations will need to monitor. For example, we can expect an influx of 5G-enabled IoT sensors and increased remote connections among a workforce forever changed by the 2020 pandemic.

Because MixModes third-wave, self-supervised AI doesnt need constant babysitting or continual rules-tweaking, the platform will protect quantum systems with an approach proven to identify threats and anomalies in network traffic, log systems, API, time-series, cloud data, and beyond.

Learn more about MixMode and set up a demo today.

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The Fourth Industrial Revolution AI, Quantum, and IoT Impacts on Cybersecurity - Security Boulevard

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