Category Archives: Quantum Computing

Quantum Computing strikes technology partnership with Splunk – Proactive Investors USA & Canada

Initial efforts with San Franciscos Splunk will focus on three key challenges: network security, dynamic logistics and scheduling

Quantum Computing Inc (OTC:QUBT), an advanced technology company developing quantum-ready applications and tools, said Tuesday that it has struck a technology alliance partnership with ().

San Francisco, California-based Splunk creates software for searching, monitoring, and analyzing machine-generated big data via a web-style interface.

Meanwhile, staffed by experts in mathematics, quantum physics, supercomputing, financing and cryptography, Leesburg, Virginia-based Quantum Computing is developing an array of applications to allow companies to exploit the power of quantum computing to their advantage. It is a leader in the development of quantum ready software with deep experience developing applications and tools for early quantum computers.

Splunk brings a leading big-data-analytics platform to the partnership, notably existing capabilities in its Machine/Deep Learning Toolkit in current use by Splunk customers, said the company.

Implementation of quantum computing applications will be significantly accelerated by tools that allow the development and execution of applications independent of any particular quantum computing architecture.

We are excited about this partnership opportunity, said Quantum Computing CEO Robert Liscouski. Splunk is a proven technology leader with over 17,500 customers world-wide, that has the potential to provide great opportunities for QCIs quantum ready software technologies.

Both the companies will partner to do fundamental and applied research and develop analytics that exploit conventional large-data cybersecurity stores and data-analytics workflows, combined with quantum-ready graph and constrained-optimization algorithms.

The company explained that these algorithms will initially be developed using Quantums Mukai software platform, which enables quantum-ready algorithms to execute on classical hardware and also to run without modification on quantum computing hardware when ready.

Once proofs of concept are completed, QCI and Splunk will develop new analytics with these algorithms in the Splunk data-analytics platform, to evaluate quantum analytics readiness on real-world data, noted the company.

The Splunk platform/toolkits help customers address challenging analytical problems via neural nets or custom algorithms, extensible to Deep Learning frameworks through an open source approach that incorporates existing and custom libraries.

The initial efforts of our partnership with Splunk will focus on three key challenges: network security, dynamic logistics and scheduling, said Quantum Computing.

Contact the author Uttara Choudhury at[emailprotected]

Follow her onTwitter:@UttaraProactive

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Quantum Computing strikes technology partnership with Splunk - Proactive Investors USA & Canada

Devs: Alex Garland on Tech Company Cults, Quantum Computing, and Determinism – Den of Geek UK

Yet that difference between the common things a company can sell and the uncommon things they quietly develop is profoundly important. In Devs, the friendly exterior of Amaya with its enormous statue of a childa literal monument to Forests lost daughteris a public face to the actual profound work his Devs team is doing in a separate, highly secretive facility. Seemingly based in part on mysterious research and development wings of tech giantsthink Googles moonshot organizations at X Development and DeepMindDevs is using quantum computing to change the world, all while keeping Forests Zen ambition as its shield.

I think it helps, actually, Garland says about Forest not being a genius. Because I think what happens is that these [CEO] guys present as a kind of front between what the company is doing and the rest of the world, including the kind of inspection that the rest of the world might want on the company if they knew what the company was doing. So our belief and enthusiasm in the leader stops us from looking too hard at what the people behind-the-scenes are doing. And from my point of view thats quite common.

A lifelong man of words, Garland describes himself as a writer with a laymans interest in science. Yet its fair to say he studies almost obsessively whatever field of science hes writing about, which now pertains to quantum computing. A still largely unexplored frontier in the tech world, quantum computing is the use of technology to apply quantum-mechanical phenomena to data a traditional computer could never process. Its still so unknown that Google AI and NASA published a paper only six months ago in which they claimed to have achieved quantum supremacy (the creation of a quantum device that can actually solve problems a classical computer cannot).

Whereas binary computers work with gates that are either a one or a zero, a quantum qubit [a basic unit of measurement] can deal with a one and a zero concurrently, and all points in between, says Garland. So you get a staggering amount of exponential power as you start to run those qubits in tandem with each other. What the filmmaker is especially fascinated by is using a quantum system to model another quantum system. That is to say using a quantum computer with true supremacy to solve other theoretical problems in quantum physics. If we use a binary way of doing that, youre essentially using a filing system to model something that is emphatically not binary.

So in Devs, quantum computing is a gateway into a hell of a trippy concept: a quantum computer so powerful that it can analyze the theoretical data of everything that has or will occur. In essence, Forest and his team are creating a time machine that can project through a probabilistic system how events happened in the past, will happen in the future, and are happening right now. It thus acts as an omnipotent surveillance system far beyond any neocons dreams.

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Devs: Alex Garland on Tech Company Cults, Quantum Computing, and Determinism - Den of Geek UK

Is Machine Learning The Quantum Physics Of Computer Science ? – Forbes

Preamble: Intermittently, I will be introducing some columns which introduce some seemingly outlandish concepts. The purpose is a bit of humor, but also to provoke some thought. Enjoy.

atom orbit abstract

God does not play dice with the universe, Albert Einstein is reported to have said about the field of Quantum Physics. He was referring to the great divide at the time in the physics community between general relativity and quantum physics. General relativity was a theory which beautifully explained a great deal of physical phenomena in a deterministic fashion. Meanwhile, quantum physics grew out of a model which fundamentally had a probabilistic view of the world. Since Einstein made that statement in the mid 1950s, quantum physics has proven to be quite a durable theory, and in fact, it is used in a variety of applications such as semiconductors.

One might imagine a past leader in computer science such as Donald Knuth exclaiming, Algorithms should be deterministic. That is, given any input, the output should be exact and known. Indeed, since its formation, the field of computer science has focused on building elegant deterministic algorithms which have a clear view of the transformation between inputs and outputs. Even in the regime of non-determinism such as parallel processing, the objective of the overall algorithm is to be deterministic. That is, despite the fact that operations can run out-of-order, the outputs are still exact and known. Computer scientists work very hard to make that a reality.

As computer scientists have engaged with the real world, they frequently face very noisy inputs such as sensors or even worse, human beings. Computer algorithms continue to focus on faithfully and precisely translating input noise to output noise. This has given rise to the Junk In Junk Out (JIJO) paradigm. One of the key motivations for pursuing such a structure has been the notion of causality and diagnosability. After all, if the algorithms are noisy, how is one to know the issue is not a bug in the algorithm? Good point.

With machine learning, computer science has transitioned to a model where one trains a machine to build an algorithm, and this machine can then be used to transform inputs to outputs. Since the process of training is dynamic and often ongoing, the data and the algorithm are intertwined in a manner which is not easily unwound. Similar to quantum physics, there is a class of applications where this model seems to work. Recognizing patterns seems to be a good application. This is a key building block for autonomous vehicles, but the results are probabilistic in nature.

In quantum physics, there is an implicit understanding that the answers are often probabilistic Perhaps this is the key insight which can allow us to leverage the power of machine learning techniques and avoid the pitfalls. That is, if the requirements of the algorithm must be exact, perhaps machine learning methods are not appropriate. As an example, if your bank statement was correct with somewhat high probability, this may not be comforting. However, if machine learning algorithms can provide with high probability the instances of potential fraud, the job of a forensic CPA is made quite a bit more productive. Similar analogies exist in the area of autonomous vehicles.

Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics. The critical challenge for computing is to find the correct mechanisms to design and validate probabilistic results.

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Is Machine Learning The Quantum Physics Of Computer Science ? - Forbes

Organisms grow in wave pattern, similar to ocean circulation – Big Think

When an egg cell of almost any sexually reproducing species is fertilized, it sets off a series of waves that ripple across the egg's surface.

These waves are produced by billions of activated proteins that surge through the egg's membrane like streams of tiny burrowing sentinels, signaling the egg to start dividing, folding, and dividing again, to form the first cellular seeds of an organism.

Now MIT scientists have taken a detailed look at the pattern of these waves, produced on the surface of starfish eggs. These eggs are large and therefore easy to observe, and scientists consider starfish eggs to be representative of the eggs of many other animal species.

In each egg, the team introduced a protein to mimic the onset of fertilization, and recorded the pattern of waves that rippled across their surfaces in response. They observed that each wave emerged in a spiral pattern, and that multiple spirals whirled across an egg's surface at a time. Some spirals spontaneously appeared and swirled away in opposite directions, while others collided head-on and immediately disappeared.

The behavior of these swirling waves, the researchers realized, is similar to the waves generated in other, seemingly unrelated systems, such as the vortices in quantum fluids, the circulations in the atmosphere and oceans, and the electrical signals that propagate through the heart and brain.

"Not much was known about the dynamics of these surface waves in eggs, and after we started analyzing and modeling these waves, we found these same patterns show up in all these other systems," says physicist Nikta Fakhri, the Thomas D. and Virginia W. Cabot Assistant Professor at MIT. "It's a manifestation of this very universal wave pattern."

"It opens a completely new perspective," adds Jrn Dunkel, associate professor of mathematics at MIT. "You can borrow a lot of techniques people have developed to study similar patterns in other systems, to learn something about biology."

Fakhri and Dunkel have published their results today in the journal Nature Physics. Their co-authors are Tzer Han Tan, Jinghui Liu, Pearson Miller, and Melis Tekant of MIT.

Previous studies have shown that the fertilization of an egg immediately activates Rho-GTP, a protein within the egg which normally floats around in the cell's cytoplasm in an inactive state. Once activated, billions of the protein rise up out of the cytoplasm's morass to attach to the egg's membrane, snaking along the wall in waves.

"Imagine if you have a very dirty aquarium, and once a fish swims close to the glass, you can see it," Dunkel explains. "In a similar way, the proteins are somewhere inside the cell, and when they become activated, they attach to the membrane, and you start to see them move."

Fakhri says the waves of proteins moving across the egg's membrane serve, in part, to organize cell division around the cell's core.

"The egg is a huge cell, and these proteins have to work together to find its center, so that the cell knows where to divide and fold, many times over, to form an organism," Fakhri says. "Without these proteins making waves, there would be no cell division."

MIT researchers observe ripples across a newly fertilized egg that are similar to other systems, from ocean and atmospheric circulations to quantum fluids. Courtesy of the researchers.

In their study, the team focused on the active form of Rho-GTP and the pattern of waves produced on an egg's surface when they altered the protein's concentration.

For their experiments, they obtained about 10 eggs from the ovaries of starfish through a minimally invasive surgical procedure. They introduced a hormone to stimulate maturation, and also injected fluorescent markers to attach to any active forms of Rho-GTP that rose up in response. They then observed each egg through a confocal microscope and watched as billions of the proteins activated and rippled across the egg's surface in response to varying concentrations of the artificial hormonal protein.

"In this way, we created a kaleidoscope of different patterns and looked at their resulting dynamics," Fakhri says.

The researchers first assembled black-and-white videos of each egg, showing the bright waves that traveled over its surface. The brighter a region in a wave, the higher the concentration of Rho-GTP in that particular region. For each video, they compared the brightness, or concentration of protein from pixel to pixel, and used these comparisons to generate an animation of the same wave patterns.

From their videos, the team observed that waves seemed to oscillate outward as tiny, hurricane-like spirals. The researchers traced the origin of each wave to the core of each spiral, which they refer to as a "topological defect." Out of curiosity, they tracked the movement of these defects themselves. They did some statistical analysis to determine how fast certain defects moved across an egg's surface, and how often, and in what configurations the spirals popped up, collided, and disappeared.

In a surprising twist, they found that their statistical results, and the behavior of waves in an egg's surface, were the same as the behavior of waves in other larger and seemingly unrelated systems.

"When you look at the statistics of these defects, it's essentially the same as vortices in a fluid, or waves in the brain, or systems on a larger scale," Dunkel says. "It's the same universal phenomenon, just scaled down to the level of a cell."

The researchers are particularly interested in the waves' similarity to ideas in quantum computing. Just as the pattern of waves in an egg convey specific signals, in this case of cell division, quantum computing is a field that aims to manipulate atoms in a fluid, in precise patterns, in order to translate information and perform calculations.

"Perhaps now we can borrow ideas from quantum fluids, to build minicomputers from biological cells," Fakhri says. "We expect some differences, but we will try to explore [biological signaling waves] further as a tool for computation."

This research was supported, in part, by the James S. McDonnell Foundation, the Alfred P. Sloan Foundation, and the National Science Foundation.

Reprinted with permission of MIT News. Read the original article.

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Organisms grow in wave pattern, similar to ocean circulation - Big Think

Recent PDF Report : Quantum Computing Market 2020: In-depth Industry Analysis By Size, Share, Competition, Opportunities And Growth By 2029 – Sound On… sets out the latest report on the Global Quantum Computing Market that includes an in-depth analysis of competition, segmentation, regional expansion, market dynamics and forecast 2020-2029.

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A basic outline of the competitive landscape:

The Quantum Computing market report includes a thorough analysis of the competitive landscape of this industry.

The report also encompasses a thorough analysis of the markets competitors scope based on the segmentation of the same into companies such as International Business Machines (IBM) Corporation, Google Inc, Microsoft Corporation, Qxbranch LLC, Cambridge Quantum Computing Ltd, 1QB Information Technologies Inc, QC Ware Corp., Magiq Technologies Inc, D-Wave Systems Inc, Rigetti Computing.

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Key players Profiles covered in the report alongside facts concerning its futuristic strategies, financials, technological developments, supply chain study, collaboration & mergers, gross margins and price models.

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A complete outline of the regional spectrum:

A crisp outline of the market segmentation:

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Segmentation by Component:

GeneratorConversion DevicesDistribution DevicesBattery Management SystemsOthers (Alternators, etc.)Segmentation by System:

Power GenerationPower DistributionPower ConversionEnergy StorageSegmentation by Platform:

Military AviationCommercial AviationBusiness & General AviationSegmentation by Application:

Cabin SystemFlight Control & OperationConfiguration ManagementPower Generation ManagementAir Pressurization & Conditioning

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Different questions addressed through this research report:

What are the affecting factors for the growth of the market?

What are the major restraints and drivers of market?

What will be the market size in 2029?

Which are the most demanding regions in terms of consumption and production?

key outcomes of industry analysis techniques?

What are the successful key players in market?

Table of Content

1 Introduction of Quantum Computing Market

1.1 Overview of the Market

1.2 Scope of Report

1.3 Assumptions

2 Executive Summary

3 Research Methodology of

3.1 Data Mining

3.2 Validation

3.3 Primary Interviews

3.4 List of Data Sources

4 Quantum Computing Market Outlook

4.1 Overview

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.3 Porters Five Force Model

4.4 Value Chain Analysis

5 Quantum Computing Market , Segmentation

5.1 Overview

6 Quantum Computing Market , By Geography

6.1 Overview

6.2 North America

6.2.1 U.S.

6.2.2 Canada

6.2.3 Mexico

6.3 Europe

6.3.1 Germany

6.3.2 U.K.

6.3.3 France

6.3.4 Rest of Europe

6.4 Asia Pacific

6.4.1 China

6.4.2 Japan

6.4.3 India

6.4.4 Rest of Asia Pacific

6.5 Rest of the World

6.5.1 Latin America

6.5.2 Middle East

7 Quantum Computing Market Competitive Landscape

7.1 Overview

7.2 Company Market Ranking

7.3 Key Development Strategies

8 Company Profiles

8.1.1 Overview

8.1.2 Financial Performance

8.1.3 Product Outlook

8.1.4 Key Developments

9 Appendix

9.1 Related Research

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Tech incubator Fountech.Ventures launches in US and UK – UKTN

Fountech.Ventures, a next generation incubator for deep tech startups, has launched in the US and UK.

The subsidiary company, a four-year-old international AI think tank and parent company to a number of specialist AI and deep tech firms, is based in Austin, Texas, US and originated in London, UK.

Fountech.Ventures goes above and beyond a standard incubator it provides broader services over a longer timeframe so founders of deep tech startups can fast-track their businesses from ideation to commercial success.

Fountech.Ventures develops tailored programmes for members, sharing technical and commercial knowledge, along with the provision of interim CEOs, funding, business advice, office space and international networking opportunities.

Headed by Salvatore Minetti, a team of experienced tech experts will work with deep tech startups spanning artificial intelligence (AI), robotics, quantum computing and blockchain.

Based on progress and continuous assessments, Fountech.Ventures will invest its own funds into its portfolio companies, from pre-seed level right through to Series B.

PropTech platform launches to transform building performance

Salvatore Minetti, CEO of Fountech.Ventures, said: The US and UK are home to a vast number of deep tech startups that have immense growth potential. However, reaching that potential is difficult tech experts and PhD graduates have incredible ideas for how to use new and advanced technologies but often lack the skills and experience to transform them into successful businesses.

Fountech.Ventures will change all this by delivering the commercial expertise and infrastructure that is sorely needed. Whats more, the fact that our members can also access vital funding and our international hubs means we have a unique ability to bring products and services grounded in leading edge technologies to huge markets.

It is this end-to-end offering that makes us more than a typical incubator Fountech.Ventures is a next generation incubator.

Fountech.Ventures already has six portfolio companies. These include Soffos, an AI TutorBot; Prospex, an AI-powered lead generation tool; and Dinabite, a restaurant app built on an AI platform.

Banking alternative fintech company Lanistar launches

Rebecca Taylor and Joseph McCall have joined the Fountech.Ventures board as directors. The board is to be bolstered further with additional appointments in the coming weeks.

Nikolas Kairinos, CEO and founder of the parent company, commented: We are delighted to unveil Fountech.Ventures today.

This next gen incubator is going to propel the growth of deep tech startups across both sides of the Atlantic. In doing so, we will enable innovative leading edge tech solutions to thrive and consequently improve the lives of consumers, businesses and societies.

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Tech incubator Fountech.Ventures launches in US and UK - UKTN

Why resilience is the key to future security – Raconteur

Resilience is at the heart of information security. As threats adapt and evolve and we accept that systems will be compromised, it is no longer enough just to have strong defences in place. The sophisticated tools and techniques of threat actors will find a way around them. Organisations, their security architecture, systems, policies and strategies need to be resilient, able to cope, recover and, most of all, to learn from incidents.

Our sector as a whole needs to be resilient; human skills and expertise are at the heart of this. We must attract, recruit and retain the talent and skills to tackle new and emerging risks and challenges. We must also embrace diversity in all its forms to find, nurture and train professionals.

It is the responsibility of every organisation to drive inclusivity and diversity in the industry. We should look beyond the traditional routes into information security and think about other transferable skills and attitudes that can offer so much. These include broader business skills, such as the ability to negotiate, financial acumen and leadership skill, that are increasingly needed as part of a modern-day security team.

It also includes skills from outside the industry, so it is encouraging to see organisations starting to recruit more people from sectors like healthcare, the emergency services, design and gaming.

But resilience goes much further than this. We, as infosecurity professionals, need to be resilient ourselves, developing new skills and, on a personal level, being resilient to the pressures and stress currently facing our industry.

Employee mental health and wellbeing should be an essential consideration for all employers and be part of company culture and organisational values. But perhaps we could do more in an industry that is faced with growing cyberthreats, longer working hours and individuals often having to make up gaps left by under-resourced teams. Its clear from what we are hearing from our community of chief information security officers that infosecurity professionals are under more pressure than ever before.

But with challenges come opportunities. The industry is undergoing a huge transformation as it embraces new and emerging technologies, such as quantum computing, data analytics and artificial intelligence tools, which can play a key role in enhancing the capabilities of security systems to identify and mitigate risks, and ease the pressure on security teams.

As an information and cybersecurity community, we can help to keep our world safe and unlock more of the good things that technology promises and delivers. There is no time like the future and, ultimately, it is in our hands. But this goes beyond just the information security industry and out to a wider group of individuals and organisations.

By working together, companies, governments, industry bodies, academia, suppliers and other stakeholders can share their knowledge and intelligence, learn from each other and get ahead of cybercriminals. This need to collaborate and share knowledge has never been more important as new kinds of threats emerge from new breeds of attackers, and we need to stay one step ahead.

Resilience is our conference theme this year, addressing the most relevant and decisive factors in information and cybersecurity in the next five years.

By building resilience across the industry, we can move towards a more secure world and a more secure future.

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Why resilience is the key to future security - Raconteur

Quantum computing is right around the corner, but cooling is a problem. What are the options? – Diginomica


Why would you be thinking about quantum computing? Yes, it may be two years or more before quantum computing will be widely available, but there are already quite a few organizations that are pressing ahead. I'll get into those use cases, but first - Lets start with the basics:

Classical computers require built-in fans and other ways to dissipate heat, and quantum computers are no different. Instead of working with bits of information that can be either 0 or 1, as in a classical machine, a quantum computer relies on "qubits," which can be in both states simultaneously called a superposition thanks to the quirks of quantum mechanics. Those qubits must be shielded from all external noise, since the slightest interference will destroy the superposition, resulting in calculation errors. Well-isolated qubits heat up quickly, so keeping them cool is a challenge.

The current operating temperature of quantum computers is 0.015 Kelvin or -273C or -460F. That is the only way to slow down the movement of atoms, so a "qubit" can hold a value.

There have been some creative solutions proposed for this problem, such as the nanofridge," which builds a circuit with an energy gap dividing two channels: a superconducting fast lane, where electrons can zip along with zero resistance, and a slow resistive (non-superconducting) lane. Only electrons with sufficient energy to jump across that gap can get to the superconductor highway; the rest are stuck in the slow lane. This has a cooling effect.

Just one problem though: The inventor, MikkoMttnen, is confident enough in the eventual success that he has applied for a patent for the device. However, "Maybe in 10 to 15 years, this might be commercially useful, he said. Its going to take some time, but Im pretty sure well get there."

Ten to fifteen years? It may be two years or more before quantum computing will be widely available, but there are already quite a few organizations that are pressing ahead in the following sectors:

An excellent, detailed report on the quantum computing ecosystem is: The Next Decade in Quantum Computingand How to Play.

But the cooling problem must get sorted. It may be diamonds that finally solve some of the commercial and operational/cost issues in quantum computing: synthetic, also known as lab-grown diamonds.

The first synthetic diamond was grown by GE in 1954. It was an ugly little brown thing. By the '70s, GE and others were growing up to 1-carat off-color diamonds for industrial use. By the '90s, a company called Gemesis (renamed Pure Grown Diamonds) successfully created one-carat flawless diamonds graded ILA, meaning perfect. Today designer diamonds come in all sizes and colors: adding Boron to make them pink or nitrogen to make them yellow.

Diamonds have unique properties. They have high thermal conductivity (meaning they don't melt like silicon). The thermal conductivity of a pure diamond is the highest of any known solid. They are also an excellent electrical insulator. In its center, it has an impurity called an N-V center, where a carbon atom is replaced by a nitrogen atom leaving a gap where an unpaired electron circles the nitrogen gap and can be excited or polarized by a laser. When excited, the electron gives off a single photon leaving it in a reduced energy state. Somehow, and I admit I dont completely understand this, the particle is placed into a quantum superposition. In quantum-speak, that means it can be two things, two values, two places at once, where it has both spin up and spin down. That is the essence of quantum computing, the creation of a "qubit," something that can be both 0 and 1 at the same time.

If that isnt weird enough, there is the issue of entanglement. A microwave pulse can be directed at a pair of qubits, placing them both in the same state. But you can "entangle" them so that they are always in the same state. In other words, if you change the state of one of them, the other also changes, even if great distances separate them, a phenomenon Einstein dubbed, spooky action at a distance. Entangled photons don't need bulky equipment to keep them in their quantum state, and they can transmit quantum information across long distances.

At least in the theory of the predictive nature of entanglement, adding qubits explodes a quantum computer's computing power. In telecommunications, for example, entangled photons that span the traditional telecommunications spectrum have enormous potential for multi-channel quantum communication.

News Flash: Physicists have just demonstrated a 3-particle entanglement. This increases the capacity of quantum computing geometrically.

The cooling of qubits is the stumbling block. Diamonds seem to offer a solution, one that could quantum computing into the mainstream. The impurities in synthetic diamonds can be manipulated, and the state of od qubit can held at room temperature, unlike other potential quantum computing systems, and NV-center qubits (described above) are long-lived. There are still many issues to unravel to make quantum computers feasible, but today, unless you have a refrigerator at home that can operate at near absolute-zero, hang on to that laptop.

But doesnt diamonds in computers sound expensive, flagrant, excessive? It begs the question, What is anything worth? Synthetic diamonds for jewelry are not as expensive as mined gems, but the price one pays at retail s burdened by the effect of monopoly, and so many intermediaries, distributors, jewelry companies, and retailers.

A recent book explored the value of fine things and explains the perceived value which only has a psychological basis.In the 1930s, De Beers, which had a monopoly on the world diamond market and too many for the weak demand, engaged the N. W. Ayers advertising agency realizing that diamonds were only sold to the very rich, while everyone else was buying cars and appliances. They created a market for diamond engagement rings and introduced the idea that a man should spend at least three months salary on a diamond for his betrothed.

And in classic selling of an idea, not a brand, they used their earworm taglines like diamonds are forever. These four iconic words have appeared in every single De Beers advertisement since 1948, and AdAge named it the #1 slogan of the century in 1999. Incidentally, diamonds arent forever. That diamond on your finger is slowly evaporating.

The worldwide outrage over the Blood Diamond scandal is increasing supply and demand for fine jewelry applications of synthetic diamonds. If quantum computers take off, and a diamond-based architecture becomes a standard, it will spawn a synthetic diamond production boom, increasing supply and drastically lowering the cost, making it feasible.

Many thanks to my daughter, Aja Raden, an author, jeweler, and behavioral economist for her insights about the diamond trade.

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Quantum computing is right around the corner, but cooling is a problem. What are the options? - Diginomica

Quantum Computing: Will It Actually Produce Jobs? – Dice Insights

If youre interested in tech, youve likely heard about therace to develop quantum computers. These systems compute via qubits, whichexist not only as ones and zeros (as you find intraditional processors) but also in an in-between state known assuperposition.

For tasks such as cryptography, qubits and superpositionwould allow a quantum computer to analyze every potential solutionsimultaneously, making such systems much faster than conventional computers.Microsoft, Google,IBM, and other firms are all throwing tons of resources into quantum-computingresearch, hoping for a breakthrough that will make them a leader in thisnascent industry.

Questions abound about quantum computing, including whetherthese systems will actually produce the answers that companies really need. Forthose in the tech industry, theres a related interest in whether quantumcomputing will actually produce jobs at scale.

Thelarge tech companies and research laboratories who are leading the charge onR&D in the pure quantum computing hardware space are looking for peoplewith advanced degrees in key STEM fields like physics, math and engineering,said John Prisco, President & CEOof Quantum Xchange, which markets a quantum-safe key distribution thatsupposedly will bridge the gap between traditional encryption solutions andquantum computing-driven security. This is in large part because thereare few programs today that actually offer degrees or specializations inquantum technology.

WhenPrisco was in graduate school, he added, There were four of us in theelectrical engineering program with the kind of physics training this fieldcalls for. More recently, Ive recently seen universities like MIT andColumbia investing in offering this training to current students, but itsgoing to take awhile to produce experts.

Theresevery chance that increased demand for quantum-skilled technologists coulddrive even more universities to spin up the right kind of training andeducation programs. The National Institute of Standards and Technology (NIST)is evaluatingpost-quantum cryptography that would replace existing methods, includingpublic-key RSA encryption methods. Time is of the essence when it comes togovernments and companies coming up with these post-quantum algorithms; thenext evolutions in cryptography will render the current generation pretty muchobsolete.

Combinethat quest with the currentshortage of trained cybersecurity professionals, and you start to see wherethe talent and education crunch will hit over the next several years. Whilehackers weaponizing quantum computers themselves is still a far off proposal,the threat of harvesting attacks, where nefarious actors steal encrypted datanow to decrypt later once quantum computers are available, is already here,Prisco said, pointing at Chinas 2015 hack of the U.S. Office of PersonnelManagement, which saw the theft of 21 million government employee records.

Thoughthat stolen data was encrypted and there is no evidence it has been misused todate, the Chinese government is likely sitting on that trove, waiting for theday they have a quantum computer powerful enough to crack public keyencryption, he said. Organizations that store sensitive data with a longshelf-life need to start preparing now. There is no time to waste.

But what will make a good quantum technologist?

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HermanCollins, CEO of StrategicQC, a recruiting agency for the quantum-computingecosystem, believes that sourcing quantum-related talent at this stage comesdown to credentials. Because advanced quantum expertise is rare, the biggest sign thata candidate is qualified is whether they have a degree in one of the fields ofstudy that relates to quantum computing, he said. I would say that degrees,particularly advanced degrees, such as quantum physics obviously, physicstheory, math or computer science are a good start. A focus on machine learningor artificial intelligence would be excellent as part of an augmented dynamicquantum skill set.

Although Google, IBM, and theU.S. government have infinite amounts of money to throw at talent, smallercompanies are occasionally posting jobs for quantum-computing talent. Collinsthinks that, despite the relative lack of resources, these small companies haveat least a few advantages when it comes to attracting the right kind of veryhighly specialized talent.

Smaller firms and startups canoften speak about the ability to do interesting work that will impactgenerations to come and perhaps some equity participation, he said. Likewise,some applicants may be interested in working with smaller firms to buildquantum-related technology from the ground up. Others might prefer a moreclose-knit team environment that smaller firms may offer.

Some 20 percent of thequantum-related positions, Collins continued, are in marketing, sales,management, tech support, and operations. Even if you havent spent yearsstudying quantum computing, in other words, you can still potentially land ajob at a quantum-computing firm, doing all the things necessary to ensure thatthe overall tech stack keeps operating.

It is equally important forcompanies in industries where quantum can have impactful results in the nearerterm begin to recruit and staff quantum expertise now, Collins said.Companies competing in financial services, aerospace, defense, healthcare,telecommunications, energy, transportation, agriculture and others shouldrecognize the vital importance of looking very closely at quantum and addingsome skilled in-house capability.

Given the amount of money andresearch-hours already invested in quantum computing, aswell as some recent (and somewhat controversial) breakthroughs, theresevery chance the tech industry could see an uptick in demand for jobs relatedto quantum computing. Even for those who dont plan on specializing in thisesoteric field, there may be opportunities to contribute.

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Quantum Computing: Will It Actually Produce Jobs? - Dice Insights

Quantum computing, AI, China, and synthetics highlighted in 2020 Tech Trends report – VentureBeat

The worlds tech industry will be shaped by China, artificial intelligence, cancel culture, and other key trends, according to the Future Today Institutes 2020 Tech Trends Report.

Now in its thirteenth year, the document is put together by the Future Today Institute and director Amy Webb, who is also a professor at New York Universitys Stern School of Business. The report attempts to recognize connections between tech and future uncertainties, like the outcome of the 2020 U.S. presidential election, as well as the spread of diseases like COVID-19.

Among major trends in the report, 2020 is expected to be the synthetic decade.

Soon we will produce designer molecules in a range of host cells on demand and at scale, which will lead to transformational improvements in vaccine production, tissue production, and medical treatments. Scientists will start to build entire human chromosomes, and they will design programmable proteins, the report reads.

Augmentation of senses like hearing and sight, social media scaremongering, new ways to measure trust, and Chinas role in the growth of AI are also listed among key takeaways.

Artificial intelligence is again the first item highlighted on the list, and the tech Webb says is sparking a third wave of computing comes with positives, like the role AlphaFold can play in discovering cures for diseases, as well as negatives, like AIscurrent impact on the criminal justice system.

Tech giants in the U.S. and China like Amazon, Facebook, Google, and Microsoft in the United States and Tencent and Baidu in China continue to deliver the greatest impact. Webb predicts how these companies will shape the world in her 2019 bookThe Big Nine.

Those nine companies drive the majority of research, funding, government involvement, and consumer-grade applications of AI. University researchers and labs rely on these companies for data, tools, and funding, the report reads. Big Nine AI companies also wield huge influence over AI mergers and acquisitions, funding AI startups, and supporting the next generation of developers.

Other AI trends include synthetic data, a military-tech industrial complex, and systems made to recognize people.

Visit the Future Today Institute website to read the full report, which flags trends that require immediate action and highlights trends by industry.

Webb urges readers to digest the 366-page report in multiple sittings, rather than trying to read it all at once. She typically debuts the report with a presentation to thousands at the SXSW conference in Austin, Texas, but the conference was cancelled due to COVID-19.

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Quantum computing, AI, China, and synthetics highlighted in 2020 Tech Trends report - VentureBeat