Category Archives: Quantum Computing

Were approaching the limits of computer power we need new programmers now – The Guardian

Way back in the 1960s, Gordon Moore, the co-founder of Intel, observed that the number of transistors that could be fitted on a silicon chip was doubling every two years. Since the transistor count is related to processing power, that meant that computing power was effectively doubling every two years. Thus was born Moores law, which for most people working in the computer industry or at any rate those younger than 40 has provided the kind of bedrock certainty that Newtons laws of motion did for mechanical engineers.

There is, however, one difference. Moores law is just a statement of an empirical correlation observed over a particular period in history and we are reaching the limits of its application. In 2010, Moore himself predicted that the laws of physics would call a halt to the exponential increases. In terms of size of transistor, he said, you can see that were approaching the size of atoms, which is a fundamental barrier, but itll be two or three generations before we get that far but thats as far out as weve ever been able to see. We have another 10 to 20 years before we reach a fundamental limit.

Weve now reached 2020 and so the certainty that we will always have sufficiently powerful computing hardware for our expanding needs is beginning to look complacent. Since this has been obvious for decades to those in the business, theres been lots of research into ingenious ways of packing more computing power into machines, for example using multi-core architectures in which a CPU has two or more separate processing units called cores in the hope of postponing the awful day when the silicon chip finally runs out of road. (The new Apple Mac Pro, for example, is powered by a 28-core Intel Xeon processor.) And of course there is also a good deal of frenzied research into quantum computing, which could, in principle, be an epochal development.

But computing involves a combination of hardware and software and one of the predictable consequences of Moores law is that it made programmers lazier. Writing software is a craft and some people are better at it than others. They write code that is more elegant and, more importantly, leaner, so that it executes faster. In the early days, when the hardware was relatively primitive, craftsmanship really mattered. When Bill Gates was a lad, for example, he wrote a Basic interpreter for one of the earliest microcomputers, the TRS-80. Because the machine had only a tiny read-only memory, Gates had to fit it into just 16 kilobytes. He wrote it in assembly language to increase efficiency and save space; theres a legend that for years afterwards he could recite the entire program by heart.

There are thousands of stories like this from the early days of computing. But as Moores law took hold, the need to write lean, parsimonious code gradually disappeared and incentives changed. Programming became industrialised as software engineering. The construction of sprawling software ecosystems such as operating systems and commercial applications required large teams of developers; these then spawned associated bureaucracies of project managers and executives. Large software projects morphed into the kind of death march memorably chronicled in Fred Brookss celebrated book, The Mythical Man-Month, which was published in 1975 and has never been out of print, for the very good reason that its still relevant. And in the process, software became bloated and often inefficient.

But this didnt matter because the hardware was always delivering the computing power that concealed the bloatware problem. Conscientious programmers were often infuriated by this. The only consequence of the powerful hardware I see, wrote one, is that programmers write more and more bloated software on it. They become lazier, because the hardware is fast they do not try to learn algorithms nor to optimise their code this is crazy!

It is. In a lecture in 1997, Nathan Myhrvold, who was once Bill Gatess chief technology officer, set out his Four Laws of Software. 1: software is like a gas it expands to fill its container. 2: software grows until it is limited by Moores law. 3: software growth makes Moores law possible people buy new hardware because the software requires it. And, finally, 4: software is only limited by human ambition and expectation.

As Moores law reaches the end of its dominion, Myhrvolds laws suggest that we basically have only two options. Either we moderate our ambitions or we go back to writing leaner, more efficient code. In other words, back to the future.

What just happened?Writer and researcher Dan Wang has a remarkable review of the year in technology on his blog, including an informed, detached perspective on the prospects for Chinese domination of new tech.

Algorithm says noTheres a provocative essay by Cory Doctorow on the LA Review of Books blog on the innate conservatism of machine-learning.

Fall of the big beastsHow to lose a monopoly: Microsoft, IBM and antitrust is a terrific long-view essay about company survival and change by Benedict Evans on his blog.

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Were approaching the limits of computer power we need new programmers now - The Guardian

Is Quantum Technology The Future Of The World? – The Coin Republic

Steve Anderrson Saturday, 11 January 2020, 04:58 EST Modified date: Saturday, 11 January 2020, 04:58 EST

At a glance, the quantum volume is a measure of the complexity of a problem that a quantum computer can provide a solution. Quantum volume can also use to compare the performance of different quantum computers.

Ever since 2016, the IBM executives have doubled this value. In the 21st Century, Quantum computers have hailed as one of the most important innovations of the 21st century, along with potential applications in almost all fields of industries. Be it healthcare or artificial intelligence, and even financial modelling, to name a few.

Recently, quantum computers have also entered a new phase of development which can describe as practical. The first real quantum computer was launched in 2009 by Jonathan Holm. From that time, the quantum computer development has travelled a long way. At the moment, the industry driven by a handful of tech giants, including Google and IBM.

Even though IBMs latest advances viewed as significant advances, quantum computers can currently only be used for particular tasks. This indicates that they are far away from the general-purpose which classic computers serve us and to which we are used to.

Therefore, some people start worrying that the encryption technology which used to protect cryptocurrencies, for example, bitcoin may get destroyed. This worry is at least unfounded at present.

As the network is entirely built around the secure cryptographic transactions, a powerful quantum computer could eventually crack the encryption technology which used to generate Bitcoins private keys.

However, as per an article which was published by Martin Roetteler and various co-authors in June in 2017, such type of a machine requires approximately 2,500 qubits of processing power so that they can crack the 256-bit encryption technology which is used by Bitcoin.

Since the most powerful quantum computer which the world currently has only consisted of 72 qubit processors, one thing is clear that it will take several years for a quantum computer to reach the level of threatening encryption technology.

With the help of IBMs computing power which keeps doubling every year, and also the fact that Google has achieved quantum hegemony, Quantum might be working to ensure that Bitcoin can resist potential quantum computing attacks.

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Is Quantum Technology The Future Of The World? - The Coin Republic

Global Quantum Computing Market: What it got next? Find out with the latest research available at PMI – Pro News Time

In this Quantum Computing Market Global Industry Analysis & Forecast to 2030 research report, the central factors driving the advancement of this industry were recorded and the business accessories and end overseers were indulgent. This statistical surveying Quantum Computing report investigates and inspects the industry and determines a widely inclusive estimate of its development and its details. Another perspective that was efficient is the cost analysis of the prime products driving in the Quantum Computing Industry remembering the overall revenue of the manufacturers.

The following key Quantum Computing Market insights and pointers are covered during this report:

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The prime manufacturers covered during this report are:

Wave Systems Corp, 1QB Information Technologies Inc, QC Ware, Corp, Google Inc, QxBranch LLC, Microsoft Corporation, International Business Machines Corporation, Huawei Technologies Co., Ltd, ID Quantique SA, and Atos SE.

Detail Segmentation:

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The report is an entire guide in providing complete Quantum Computing processes, cost structures, raw materials, investment feasibility, and investment return analysis. The SWOT analysis, market growth, production, profit, and supply-demand statistics are offered

The historical and future trends, prices, product demand, prospects, and Quantum Computing marketing channels are stated. The current business and progressions, future methodologies, market entrants are explained. The consumers, distributors, manufacturers, traders, and dealers in Business Intelligence (Bi) Software Market are covered. A comprehensive research methodology, market size estimation, market breakdown, and data triangulation is roofed.

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Global Quantum Computing Market: What it got next? Find out with the latest research available at PMI - Pro News Time

Quantum Computing Technologies Market to Witness Huge Growth by 2020-2025, Latest study reveals – ReportsPioneer

The Global Quantum Computing Technologies Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2020-2025). The assessment provides a 360 view and insights, outlining the key outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture capitalists in understanding the companies better and make informed decisions. Some of the key players in the Global Quantum Computing Technologies market are Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba

Whats keeping Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba Ahead in the Market? Benchmark yourself with the strategic moves and findings recently released by HTF MI

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The Major Players Covered in this Report:Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba

By the product type, the market is primarily split into:, Software & Hardware

By the end users/application, this report covers the following segments:Government, Business, High-Tech, Banking & Securities, Manufacturing & Logistics, Insurance & Other

Regional Analysis for Quantum Computing Technologies Market:United States, Europe, China, Japan, Southeast Asia, India & Central & South America

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Survey Analysis will be provided by Age, Gender, Occupation, Income Level or Education

Consumer Traits (If Applicable) Buying patterns (e.g. comfort & convenience, economical, pride) Buying behavior (e.g. seasonal, usage rate) Lifestyle (e.g. health conscious, family orientated, community active) Expectations (e.g. service, quality, risk, influence)

The Global Quantum Computing Technologies Market study also covers market status, share, future patterns, development rate, deals, SWOT examination, channels, merchants, and improvement gets ready for anticipated year between 2020-2025. It aims to strategically analyse the market with respect to individual growth trends, prospects, and their contribution to the market. The report attempts to forecast the market size for 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

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The Quantum Computing Technologies market factors described in this report are:-Key Strategic Developments in Global Quantum Computing Technologies Market:The research includes the key strategic developments of the market, comprising R&D, M&A, agreements, new product launch, collaborations, partnerships, joint ventures, and regional growth of the key competitors functioning in the market on a global and regional scale.

Key Market Features in Global Quantum Computing Technologies Market:The report assessed key market features, including revenue, capacity, price, capacity utilization rate, production rate, gross, production, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition to that, the study provides a comprehensive analysis of the key market factors and their latest trends, along with relevant market segments and sub-segments.

Analytical Market Highlights & ApproachThe Global Quantum Computing Technologies Market report provides the rigorously studied and evaluated data of the top industry players and their scope in the market by means of several analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, SWOT analysis, and ROI analysis have been practiced reviewing the growth of the key players operating in the market.

Table of Contents :Global Quantum Computing Technologies Market Study Coverage:It includes key manufacturers covered, key market segments, the scope of products offered in the global Colposcopy market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application.

Global Quantum Computing Technologies Market Executive SummaryIt gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.Global Quantum Computing Technologies Market Production by RegionHere, the report provides information related to import and export, production, revenue, and key players of all regional markets studied.Global Quantum Computing Technologies Market Profile of ManufacturersEach player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.

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Key Points Covered in Quantum Computing Technologies Market Report:Quantum Computing Technologies Overview, Definition and ClassificationMarket drivers and barriersQuantum Computing Technologies Market Competition by ManufacturersQuantum Computing Technologies Capacity, Production, Revenue (Value) by Region (2020-2025)Quantum Computing Technologies Supply (Production), Consumption, Export, Import by Region (2020-2025)Quantum Computing Technologies Production, Revenue (Value), Price Trend by Type {, Software & Hardware}Quantum Computing Technologies Market Analysis by Application {Government, Business, High-Tech, Banking & Securities, Manufacturing & Logistics, Insurance & Other}Quantum Computing Technologies Manufacturers Profiles/AnalysisQuantum Computing Technologies Manufacturing Cost AnalysisIndustrial/Supply Chain Analysis, Sourcing Strategy and Downstream BuyersMarketing Strategy by Key Manufacturers/Players, Connected Distributors/TradersStandardization, Regulatory and collaborative initiativesIndustry road map and value chainMarket Effect Factors Analysis

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Quantum Computing Technologies Market to Witness Huge Growth by 2020-2025, Latest study reveals - ReportsPioneer

Podcast: The Overhype and Underestimation of Quantum Computing – insideHPC

https://radiofreehpc.com/audio/RF-HPC_Episodes/Episode260/RFHPC260_QuantumQuantum.mp3In this podcast, the Radio Free HPC team looks at how Quantum Computing is overhyped and underestimated at the same time.

The episode starts out with Henry being cranky. It also ends with Henry being cranky. But between those two events, we discuss quantum computing and Shahins trip to the Q2B quantum computing conference in San Jose.

Not surprisingly, there is a lot of activity in quantum, with nearly every country pushing the envelop outward. One of the big concerns is that existing cryptography is now vulnerable to quantum cracking. Shahin assures us that this isnt the case today and is probably a decade away, which is another way of saying nobody knows, so it could be next week, but probably not.

We also learn the term NISQ which is a descriptive acronym for the current state of quantum systems. NISQ stands for Noisy Intermediate Scale Quantum computing. The conversation touches on various ways quantum computing is used now and where its heading, plus the main reason why everyone seems to be kicking the tires on quantum: the fear of missing out. Its a very exciting area, but to Shahin, it seems like how AI was maybe 8-10 years ago, so still early days.

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Podcast: The Overhype and Underestimation of Quantum Computing - insideHPC

Charles Hoskinson Predicts Economic Collapse, Rise of Quantum Computing, Space Travel and Cryptocurrency in the 2020s – The Daily Hodl

The new decade will unfurl a bag of seismic shifts, predicts the creator of Cardano and Ethereum, Charles Hoskinson. And these changes will propel cryptocurrency and blockchain solutions to the forefront as legacy systems buckle, transform or dissolve.

In an ask-me-anything session uploaded on January 3rd, the 11th birthday of Bitcoin, Hoskinson acknowledges how the popular cryptocurrency gave him an eye-opening introduction to the world of global finance, and he recounts how dramatically official attitudes and perceptions have changed.

Every central bank in the world is aware of cryptocurrencies and some are even taking positions in cryptocurrencies. Theres really never been a time in human history where one piece of technology has obtained such enormous global relevance without any central coordinated effort, any central coordinated marketing. No company controls it and the revolution is just getting started.

And he expects its emergence to coalesce with other epic changes. In a big picture reveal, Hoskinson plots some of the major events he believes will shape the new decade.

2020 Predictions

Hoskinson says the consequences of these technologies will reach every government service and that cryptocurrencies will gain an opening once another economic collapse similar to 2008 shakes the markets this decade.

I think that means its a great opening for cryptocurrencies to be ready to start taking over the global economy.

Hoskinson adds that hes happy to be alive to witness all of the changes he anticipates, including a reorganization of the media.

This is the last decade of traditional organized media, in my view. Were probably going to have less CNNs and Fox Newses and Bloombergs and Wall Street Journals and more Joe Rogans, especially as we enter the 2025s and beyond. And I think our space in particular is going to fundamentally change the incentives of journalism. And well actually move to a different way of paying for content, curating content.

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Charles Hoskinson Predicts Economic Collapse, Rise of Quantum Computing, Space Travel and Cryptocurrency in the 2020s - The Daily Hodl

Google and IBM square off in Schrodingers catfight over quantum supremacy – The Register

Column Just before Christmas, Google claimed quantum supremacy. The company had configured a quantum computer to produce results that would take conventional computers some 10,000 years to replicate - a landmark event.

Bollocks, said IBM - which also has big investments both in quantum computing and not letting Google get away with stuff. Using Summit, the world's largest conventional supercomputer at the Oak Ridge National Laboratories in Tennessee, IBM claimed it could do the same calculation in a smidge over two days.

As befits all things quantum, the truth is a bit of both. IBM's claim is fair enough - but it's right at the edge of Summit's capability and frankly a massive waste of its time. Google could, if it wished, tweak the quantum calculation to move it out of that range. And it might: the calculation was chosen precisely not because it was easy, but because it was hard. Harder is better.

Google's quantum CPU has 54 qubits, quantum bits that can stay in a state of being simultaneously one and zero. The active device itself is remarkably tiny, a silicon chip around a centimetre square, or four times the size of the Z80 die in your childhood ZX Spectrum. On top of the silicon, a nest of aluminium tickled by microwaves hosts the actual qubits. The aluminium becomes superconducting below around 100K, but the very coldest part of the circuit is just 15 millikelvins. At this temperature the qubits have low enough noise to survive long enough to be useful

By configuring the qubits in a circuit, setting up data and analysing the patterns that emerge when the superpositions are observed and thus collapse to either one or zero, Google can determine the probable correct outcome for the problem the circuit represents. 54 qubits, if represented in conventional computer terms, would need 254 bits of RAM to represent each step of the calculation, or two petabytes' worth. Manipulating this much data many times over gives the 10 millennia figure Google claims.

IBM, on the other hand, says that it has just enough disk space on Summit to store the complete calculation. However you do it, though, it's not very useful; the only application is in random number generation. That's a fun, important and curiously nuanced field, but you don't really need a refrigerator stuffed full of qubits to get there. You certainly don't need the 27,648 NVidia Tesla GPUs in Summit chewing through 16 megawatts of power.

What Google is actually doing is known in the trade as "pulling a Steve", from the marketing antics of the late Steve Jobs. In particular, his tour at NeXT Inc, the company he started in the late 1980s to annoy Apple and produce idiosyncratic workstations. Hugely expensive to make and even more so to buy, the NeXT systems were never in danger of achieving dominance - but you wouldn't know that from Jobs' pronouncements. He declared market supremacy at every opportunity, although in carefully crafted phrases that critics joked defined the market as "black cubic workstations running NeXTOS."

Much the same is true of Google's claim. The calculation is carefully crafted to do precisely the things that Google's quantum computer can do - the important thing isn't the result, but the journey. Perhaps the best analogy is with the Wright Brothers' first flight: of no practical use, but tremendous significance.

What happened to NeXT? It got out of hardware and concentrated on software, then Jobs sold it - and himself - to Apple, and folded in some of that software into MacOS development. Oh, and some cat called Berners-Lee built something called the World Wide Web on a Next Cube.

Nothing like this will happen with Google's technology. There's no new web waiting to be borne on the wings of supercooled qubits. Even some of the more plausible things, like quantum decryption of internet traffic, is a very long way from reality - and, once it happens, it's going to be relatively trivial to tweak conventional encryption to defeat it. But the raw demonstration, that a frozen lunchbox consuming virtually no power in its core can outperform a computer chewing through enough wattage to keep a small town going, is a powerful inducement for more work.

That's Google's big achievement. So many new and promising technologies have failed not because they could never live up to expectations but because they cant survive infancy. Existing, established technology has all the advantages: it generates money, it has distribution channels, it has an army of experts behind it, and it can adjust to close down challengers before they get going. To take just one company - Intel has tried for decades to break out of the x86 CPU prison. New wireless standards, new memory technologies, new chip architectures, new display systems, new storage and security ideas - year after year, the company casts about for something new that'll make money. It never gets there.

Google's "quantum supremacy" isn't there either, but it has done enough to protect its infant prince in its superconducting crib. That's worth a bit of hype.

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Google and IBM square off in Schrodingers catfight over quantum supremacy - The Register

World High Performance Computing (HPC) Markets to 2025 – AI, IoT, and 5G will be Major Drivers for HPC Growth as they Facilitate the Need to Process…

DUBLIN, Jan. 9, 2020 /PRNewswire/ -- The "High Performance Computing (HPC) Market by Component, Infrastructure, Services, Price Band, HPC Applications, Deployment Types, Industry Verticals, and Regions 2020-2025" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the HPC market including companies, solutions, use cases, and applications. Analysis includes HPC by organizational size, software and system type, server type, and price band, and industry verticals. The report also assesses the market for integration of various artificial intelligence technologies in HPC. It also evaluates the exascale-level HPC market including analysis by component, hardware type, service type, and industry vertical.

High Performance Computing (HPC) may be provided via a supercomputer or via parallel processing techniques such as leveraging clusters of computers to aggregate computing power. HPC is well-suited for applications that require high performance data computation such as certain financial services, simulations, and various R&D initiatives.

The market is currently dominated on the demand side by large corporations, universities, and government institutions by way of capabilities that are often used to solve very specific problems for large institutions. Examples include financial services organizations, government R&D facilities, universities research, etc.

However, the cloud-computing based as a Service model allows HPC market offerings to be extended via HPC-as-a-Service (HPCaaS) to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems. Industry use cases are increasingly emerging that benefit from HPC-level computing, many of which benefit from split processing between localized device/platform and HPCaaS.

In fact, HPCaaS is poised to become much more commonly available, partially due to new on-demand supercomputer service offerings, and in part as a result of emerging AI-based tools for engineers. Accordingly, up to 45% of revenue will be directly attributable to the cloud-based business model via HPCaaS, which makes High-Performance Computing solutions available to a much wider range of industry verticals and companies, thereby providing computational services to solve a much broader array of problems.

In a recent study, we conducted interviews with major players in the market as well as smaller, lesser known companies that are believed to be influential in terms of innovative solutions that are likely to drive adoption and usage of both cluster-based HPC and supercomputing.

In an effort to identify growth opportunities for the HPC market, we investigated market gaps including unserved and underserved markets and submarkets. The research and advisory firm uncovered a market situation in which HPC currently suffers from an accessibility problem as well as inefficiencies and supercomputer skill gaps.

Stated differently, the market for HPC as a Service (e.g. access to high-performance computing services) currently suffers from problems related to the utilization, scheduling, and set-up time to run jobs on a supercomputer. We identified start-ups and small companies working to solve these problems.

One of the challenge areas identified is low utilization but (ironically) also high wait times for most supercomputers. Scheduling can be a challenge in terms of workload time estimation. About 20% of jobs are computationally heavy 30% of jobs cannot be defined very well in terms of how long jobs will take (within 3-minute window at best). In many instances, users request substantive resources and don't actually use computing time.

In addition to the scheduling challenge, we also identified a company focused on solving additional problems such as computational planning and engineering. We spoke with the principal of a little-known company called Microsurgeonbot, Inc. (doing business as MSB.ai), which is developing a tool for setting up computing jobs for supercomputers.

The company is working to solve major obstacles in accessibility and usability for HPC resources. The company focuses on solving a very important problem in HPC: Supercomputer job set-up and skills gap. Their solution known as "Guru" is poised to make supercomputing much more accessible, especially to engineers in small to medium-sized businesses that do not have the same resources or expertise as large corporate entities.

Key Topics Covered

1 Executive Summary1.1 Companies in Report1.2 Target Audience1.3 Methodology

2 Introduction2.1 Next Generation Computing2.2 High Performance Computing2.2.1 HPC Technology2.2.1.1 Supercomputers2.2.1.2 Computer Clustering2.2.2 Exascale Computation2.2.2.1 United States2.2.2.2 China2.2.2.3 Europe2.2.2.4 Japan2.2.2.5 India2.2.2.6 Taiwan2.2.3 High Performance Technical Computing2.2.4 Market Segmentation Considerations2.2.4.1 Government, NGOs, and Universities2.2.4.2 Small Companies and Middle Market2.2.5 Use Cases and Application Areas2.2.5.1 Computer Aided Engineering2.2.5.2 Government2.2.5.3 Financial Services2.2.5.4 Education and Research2.2.5.5 Manufacturing2.2.5.6 Media and Entertainment2.2.5.7 Electronic Design Automation2.2.5.8 Bio-Sciences and Healthcare2.2.5.9 Energy Management and Utilities2.2.5.10 Earth Science2.2.6 Regulatory Framework2.2.7 Value Chain Analysis2.2.8 AI to Drive HPC Performance and Adoption

3 High Performance Computing Market Analysis and Forecast 2020-20253.1 Global High Performance Computing Market 2020-20253.1.1 Total High Performance Computing Market 2020-20253.1.2 High Performance Computing Market by Component 2020-20253.1.2.1 High Performance Computing Market by Hardware and Infrastructure Type 2020-20253.1.2.1.1 High Performance Computing Market by Server Type 2020-20253.1.2.2 High Performance Computing Market by Software and System Type 2020-20253.1.2.3 High Performance Computing Market by Professional Service Type 2020-20253.1.3 High Performance Computing Market by Deployment Type 2020-20253.1.4 High Performance Computing Market by Organization Size 2020-20253.1.5 High Performance Computing Market by Server Price Band 2020-20253.1.6 High Performance Computing Market by Application Type 2020-20253.1.6.1 High Performance Technical Computing Market by Industry Vertical 2020-20253.1.6.2 Critical High Performance Business Computing Market by Industry Vertical 2020-20253.1.1 High Performance Computing Deployment Options: Supercomputer vs. Clustering 2020-20253.1.2 High Performance Computing as a Service (HPCaaS) 2020-20253.1.3 AI Powered High Performance Computing Market3.1.3.1 AI Powered High Performance Computing Market by Component3.1.3.2 AI Powered High Performance Computing Market by AI Technology3.2 Regional High Performance Computing Market 2020-20253.3 Exascale Computing Market 2020-20253.3.1 Exascale Computing Driven HPC Market by Component 2020-20253.3.2 Exascale Computing Driven HPC Market by Hardware Type 2020-20253.3.3 Exascale Computing Driven HPC Market by Service Type 2020-20253.3.4 Exascale Computing Driven HPC Market by Industry Vertical 2020-20253.3.1 Exascale Computing as a Service 2020-2025

4 High Performance Computing Company Analysis4.1 HPC Vendor Ecosystem4.2 Leading HPC Companies4.2.1 Amazon Web Services Inc.4.2.2 Atos SE4.2.3 Adavnced Micro Devices Inc.4.2.4 Cisco Systems4.2.5 DELL Technologies Inc.4.2.6 Fujitsu Ltd.4.2.7 Hewlett Packard Enterprise (HPE)4.2.8 IBM Corporation4.2.9 Intel Corporation4.2.10 Microsoft Corporation4.2.11 NEC Corporation4.2.12 NVIDIA4.2.13 Rackspace Inc.4.1 Companies to Watch4.1.1 Braket Inc.4.1.1 MicroSurgeonBot Inc. (MSB.ai)

5 Conclusions and Recommendations5.1 AI to Support Adoption and Usage of HPC5.2 5G and 6G to Drive Increased Demand for HPC

6 Appendix: Future of Computing6.1 Quantum Computing6.1.1 Quantum Computing Technology6.1.2 Quantum Computing Considerations6.1.3 Market Challenges and Opportunities6.1.4 Recent Developments6.1.5 Quantum Computing Value Chain6.1.6 Quantum Computing Applications6.1.7 Competitive Landscape6.1.8 Government Investment in Quantum Computing6.1.9 Quantum Computing Stakeholders by Country6.1 Other Future Computing Technologies6.1.1 Swarm Computing6.1.2 Neuromorphic Computing6.1.3 Biocomputing6.2 Market Drivers for Future Computing Technologies6.2.1 Efficient Computation and High Speed Storage6.2.2 Government and Private Initiatives6.2.3 Flexible Computing6.2.4 AI-enabled, High Performance Embedded Devices, Chipsets, and ICs6.2.5 Cost Effective Computing powered by Pay-as-you-go Model6.3 Future Computing Market Challenges6.3.1 Data Security Concerns in Virtualized and Distributed Cloud6.3.2 Funding Constrains R&D Activities6.3.3 Lack of Skilled Professionals across the Sector6.3.4 Absence of Uniformity among NGC Branches including Data Format

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World High Performance Computing (HPC) Markets to 2025 - AI, IoT, and 5G will be Major Drivers for HPC Growth as they Facilitate the Need to Process...

Tucson Morning Blend Top 5 Tech Trends you’ll love this year. Heather Rowe 1:27 – KGUN

NEW TECH STUFF TO MAKE OUR LIVES BETTER IN 2020 In the decade now drawing to a close, every part of our lives our personal lives, our businesses and careers became fully digital. And with the 2020s now upon us, were going to see even more massive changes as the tech we use gets further refined and as technology that was dreamed up only recently becomes part of our daily routines! Here are five of the top technologies that IBM says will revolutionize the year and decade ahead:

1. Artificial Intelligence will turbo-charge productivity both personally, and professionally.

While artificial intelligence probably wont take your job, it will change how you work. In the coming decade, expect to see AI making its way into all sorts of workplaces around the world automating routine tasks that will free up your time to concentrate on parts of your job that are more satisfying and meaningful. And there will be lots of new jobs and career possibilities for those who gain the skills to work in technology fields.

2. Blockchain will help to make the food you eat safer than ever.

Food recalls keep consumers constantly on their toes affecting their shopping habits, and calling produce and pantry items into question. But blockchain networks like IBM Food Trust (which is used by a growing number of retailers including Walmart, Albertsons and Carrefour as well as major food suppliers like Dole) are helping to trace foods from the farm to your fork. What is blockchain? Its a digital ledger that means means consumers now have unprecedented insight into exactly where their food has come from and it doesnt stop with food blockchain now tracks global shipments, marriages and more. Right now were able to track food shipments on the blockchain via apps and in the next decade, well see this cutting edge technology become a part of everyday life.

3. Edge Computing will have a big impact on retail, and on the tech you use on your cell phone.

Today's consumer electronics, cars and electric vehicles, and all sorts of other digital devices are equipped with sensors that collectively generate tons of data. Today theres an estimated 15 billion intelligent devices operating on the outer edges of the network, and by 2022, that number is expected to reach 55 billion. In order to make sense of all of the information from these devices, well see massive growth in whats called edge computing: the use of compact, efficient computer servers located at the networks edges/near these smart devices that can process data locally, instead of sending it all back to a data center via the cloud.. The next decade will see a surge in edge computing, aided by the rollout of 5G technology and while consumers wont see edge computing it will transform the way retailers stock the latest goods you buy, and it will affect how cellphone carriers support mobile gaming and augmented reality and more.

4. From cloud computing to the Hybrid Cloud: what you need to know.

You know how when youre getting ready to pack for a big trip, you need to gather stuff from all over the place to make your vacation work? You might have clothes and shoes spread out between multiple closets, your suitcase is in the basement, your passport (which needs to stay super secure) is in a safe. Well, businesses with lots of data are the same way: they might have some info in one type of cloud, some info in another, and more stuff on three servers in two different states. Thats why more and more businesses are turning to hybrid cloud: its a technology infrastructure that makes it easy for companies to quickly access data wherever its stored to make it usable and easy to analyze. For consumers, this means theyre being helped by retailers and companies more quickly all with their data being safer than ever.5. Quantum computing moves from the realm of the theoretical (and from being a sci-fi movie plotline!) into the world of practical experiments and applications.

Its not necessary to be a quantum physicist to grasp the main point of quantum computing: it seeks to solve complex problems that have been considered unsolvable using classical computers alone. IBM is a leader on making quantum technology available to industry, academia and anyone else inspired by quantum computings potential. As the next decade unspools well see quantum computing moving from the lab to the mainstream and it will start to solve problems in chemistry, medicine and more.

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Tucson Morning Blend Top 5 Tech Trends you'll love this year. Heather Rowe 1:27 - KGUN

Honeywell names Top 11 Innovations of 2019 – wingsmagazine.com

Honeywell published an online post of what it sees to be the Top 11 breakthrough technologies that will shape the future, with a primary emphasis on aviation as well as the manufacturing and processes helping to drive the industry forward. The following Top 11 list was produced by Honeywell, with the company first describing What the innovation is and then Why it will be impactful. Honeywell notes many of these technologies already had a major influence over the past year.

1. Power for air taxisWhat: This was a major year for advancements in Urban Air Mobility (UAM) and soon air taxis will be a future mode of transportation. This means the airspace will be more crowded than ever. A new Compact Fly-By-Wire system, used in traditional aircraft, has been redesigned for air taxis. It is about the size of a paperback book.

Why its innovative: The compact computer system packs the brains of an aircrafts flight controls into one system. Operating as though the autopilot is always on, it brings agility, stability and safety to future electronic virtual takeoffs and landings.

2. Surveillance cameras forsee buyer behaviorWhat: Security cameras, which traditionally monitor for theft, can now be used to help retailers make decisions about product displays, operating hours and staffing.

Why its innovative: Surveillance systems can predict future trends by monitoring buyer behavior and store patterns. This comes in handy for retailers who can analyze that data and influence how shoppers experience stores, ultimately boosting sales.

3. Access to Quantum ComputingWhat: This long-awaited technology goes from theory to impact with a new partnership with Microsofts Azure Quantum that will give organizations around the world access to quantum computing through an open cloud system.

Why its innovative: Quantum computing is a step closer to becoming a more common reality. Businesses and organizations will be able to use it to tackle problems they never would have attempted before.

4. Intelligent hearing protectionWhat: The VeriShield headset and cloud-based technology monitor noise levels that workers are exposed to, providing real-time alerts when noise exceeds safe levels.

Why its innovative: Managers can remotely monitor sounds affecting workers with a smartphone or mobile computer and alert employees to potential issues. The first-of-its-kind headset collects data on noise patterns and gives insights into long-term exposure. That helps companies develop an effective noise conservation program to protect workers hearing.

5. Robotic cargo unloadingWhat: Robots now can unload tractor trailers full of inventory at distribution centers. The Robotic Unloader eliminates the need for people to work inside the heat of a tractor trailer that can be strenuous and unsafe.

Why its innovative: Artificial intelligence gets the job done without an operator. That improves safety, offsets shortages in staffing and minimizes damage to goods.

6. Predictive airplane maintenanceWhat: With Honeywell Forge for Airlines, software combines individual aircraft and overall airline data into one dashboard, airlines can predict aircraft maintenance to fix parts before they break.

Why its innovative: Because its predictive and not just preventative, the technology helps reduce flight delays caused by unexpected repairs. That helps airlines maximize profits, improve efficiency and safety and protect passengers.

7. Real-time data makes work more efficientWhat: Most of todays global workforce do not work at a desk. These deskless workers in airports, hospitals and other industries often rely on clipboard methods to do their jobs. With Honeywell Forge technology, pen and paper methods can be replaced with mobile computers to input data immediately. Software analyzes that data and gives immediate insight.

Why its innovative: Reducing inefficient steps of inputting data from paper save time and money. It also gives visibility to worker productivity and the ability to harness institutional knowledgea key priority as workforces get older.

8. Digital twins get smart about maintenanceWhat: Businesses that depend on equipment can use digital twin technology to mirror physical assets of a company. The digital version can use data from the physical equipment to predict machine availability, inefficient operations and maintenance needs.

Why its innovative: The ability to predict maintenance can optimize efficiency. Now, instead of having to stop operations or shut down for maintenance, plants can protect uptime and save money.

9. Fast communication during emergenciesWhat: Every second counts in a crisis. Traditional emergency communications may include relatively slow paging or color code signaling. Now, staff at hospitals, schools, airports and other high density buildings can use the Command and Control Suite to customize communications between specific teams, based on the severity of the situation.

Why its innovative: The command and control suite provides enhanced facility visualization, enhanced map navigation and broader editing capabilities.

10. Virtual engineering and controlWhat: A new generation of control system technology which is the hardware and software that operate industrial plants no longer relies on sequential project flows. With Experion Process Knowledge System (PKS) Highly Integrated Virtual Environment (HIVE) the virtualization approach unchains controllers and control applications from physical equipment and shifts day-to-day management of servers to a centralized data center. This allows operators to make late changes without their traditionally inherent risks and re-work.

Why its innovative: The technology simplifies control system design, implementation and lifecycle management. That enables plants to execute projects in less time, at lower cost and lower risk, while improving throughput, quality and operational reliability.

11. Machine learning to fight cyberattacksWhat: In an industrial environment, algorithms that detect anomalies immediately identify risks to systems in industrial controls environments.

Why its innovative: Detecting risk adds an additional layer of protection against cyberattacks. The algorithms analyze for risk that can be missed by common cybersecurity threat detectors. That includes threats like polymorphic malware, which changes constantly to avoid detection, and emerging types of threats. It operates on real-time data to immediately identify new and emerging dangers to industrial control systems and the Industrial Internet of Things.

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Honeywell names Top 11 Innovations of 2019 - wingsmagazine.com