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DUBLIN--(BUSINESS WIRE)--The "Global Quantum Computing Market: Analysis By Solution Type (Hardware, Software, Full Stack), Application (Optimization, Simulation, Sampling, Machine learning), End User, By Region, By Country (2020 Edition): Market Insight, Competition and Forecast (2020-2025)" report has been added to ResearchAndMarkets.com's offering.

The Global Quantum Computing Market, valued at USD 101.12 Million in the year 2019 has been witnessing unprecedented growth in the last few years on the back of need for secure communication and digitization.

Quantum Computing is the use of quantum-mechanical phenomena and it promises to address problems that conventional computing solutions cannot handle. Increasing need for secure communication and digitization and race to make Quantum computer commercially feasible among the leading countries is one of the major reasons behind the increasing Quantum Computing market globally. Additionally, emergence of advance applications, need for secure communication and digitization is likely to supplement the Quantum Computing market value in the near future.

Among the solution type in the Quantum Computing market (Hardware, Software and Full Stack), all the three are gaining popularity globally and is expected to keep growing in the forecast period. Companies are likely to make major investment in hardware and software individually than on full stack.

Among Application (Optimization, Simulation, Sampling, Machine learning), optimization will be the mostly used application in Quantum computing and is expected to keep grow in future. And Machine learning will also show rapid growth. Among End User (Aerospace & Defense, BFSI, R&D, Healthcare, and Others), Aerospace and defense is leading the end user of quantum computing, and in future we can expect BFSI to use Quantum computing more. All the end-user sectors users are expected to use more of QC in the near future.

The North American market is expected to lead the global market in the forecast period because of intensive investment on research and development of Quantum computers. Additionally, support by government and race for quantum supremacy is expected to infuse market growth tremendously. Additionally, the major involvement of technology leaders such as IBM Corporation, Google, and Intel will be fuelling the growth of Quantum computing market.

Key Target Audience

Key Topics Covered:

1. Report Scope and Methodology

2. Strategic Recommendations

2.1 Focus should be on very strong technical team

2.2 Investment in R&D of technology and development.

3. Quantum Computing: Product Overview

4. Global Quantum Computing Market: Sizing and Forecast

4.1 Market Size, By Value, Year 2015-2019

4.2 Market Size, By Value, Year 2020-2025

4.3 Global Economic & Industrial Outlook

5. Global Quantum Computing Market Segmentation, By Solution Type

5.1 Global Quantum Computing Market: By solution type

5.2 Competitive Scenario of Global Quantum Computing Market: By solution type (2019 2025)

5.3 By Hardware - Market Size and Forecast (2015-2025)

5.4 By Software- Market Size and Forecast (2015-2025)

5.5 By Full Stack - Market Size and Forecast (2015-2025)

6. Global Quantum Computing Market Segmentation, By Application

6.1 Competitive Scenario of Global Quantum Computing Market: By Application (2019 & 2025)

6.2 By Optimization- Market Size and Forecast (2015-2025)

6.3 By Simulation - Market Size and Forecast (2015-2025)

6.4 By Sampling - Market Size and Forecast (2015-2025)

6.5 By Machine learning- Market Size and Forecast (2015-2025)

7. Global Quantum Computing Market Segmentation, By End User

7.1 Competitive Scenario of Global Quantum Computing Market: By End User (2019 & 2025)

7.2 By Aerospace and Defense- Market Size and Forecast (2015-2025)

7.3 By BFSI - Market Size and Forecast (2015-2025)

7.4 By R&D - Market Size and Forecast (2015-2025)

7.5 By Healthcare- Market Size and Forecast (2015-2025)

7.6 By others- Market Size and Forecast (2015-2025)

8. Global Quantum Computing Market: Regional Analysis

8.1 Competitive Scenario of Global Quantum Computing Market: By Region (2019 & 2025)

9. North Americas Quantum Computing Market: An Analysis

10. Europe Quantum Computing Market: An Analysis

11. Asia Pacific Quantum Computing Market: An Analysis

12. Rest of World Quantum Computing Market

13. Global Quantum Computing Market Dynamics

13.1 Global Quantum Computing Market Drivers

13.2 Global Quantum Computing Market Restraints

13.3 Global Quantum Computing Market Trends

14. Market Attractiveness

14.1 Market Attractiveness Chart of Global Quantum Computing Market - By Solution Type (Year 2025)

14.2 Market Attractiveness Chart of Global Quantum Computing Market - By Application (Year 2025)

14.3 Market Attractiveness Chart of Global Quantum Computing Market - By End User, Year-2025)

14.4 Market Attractiveness Chart of Global Quantum Computing Market - By Region, Year-2025)

15. Competitive Landscape

15.1 Market Share Analysis

15.2 Competitive Positioning (Leaders, Challengers, Followers, Niche Players)

16. Company Profiles (Business Description, Financial Analysis, Business Strategy)

16.1 Microsoft

16.2 Google

16.3 IBM

16.4 Intel

16.5 D-wave systems

For more information about this report visit https://www.researchandmarkets.com/r/raio0z

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Global Quantum Computing Market (2020 to 2025) - Investment in R&D of Technology and Development is Strategically Important - ResearchAndMarkets.com -...

A cornerstone of the technology that is shifting the way we go about our lives is artificial intelligence (AI). Also known as machine intelligence or machine learning, AI is the development of computer-driven technology used to perform functions and tasks that previously required human intelligence. That said, AI ETFs are reaping the benefits.

Within the sprawling AI universe, there are four pillars: reactive machines, limited memory, theory of mind and self-awareness. An example of reactive machines would be the famous Deep Blue chess-playing supercomputer from IBM (NYSE:IBM) while autonomous and self-driving vehicles would be examples of technologies in the limited memory category.

Everyday applications of AI include Apples (NASDAQ:AAPL) SIRI, Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) search algorithim and Amazons (NASDAQ:AMZN) Alexa.

Those are basic forms of AI, but they serve as evidence of the markets growth and utility. Investors can harness those trends and more by taking advantage of the opportunities in AI ETFs.

That said, lets take a look at a few.

Source: Shutterstock

Expense Ratio: 0.75% per year, or $75 on a $10,000 investment

For investors looking for disruptive technology exposure, the actively managed ARK Innovation ETF (NYSEARCA:ARKK) fits the bill. The fund has a wide reach that encompasses not just pure AI, but industries using this next generation technology.

ARKK companies run the gamut of genomic firms, fintech providers, next generation internet (shared work and related infrastructure) and industrial innovation, among others. Like some other ARK funds, ARKK is know for its large weight to Tesla (NASDAQ:TSLA), which is more than 10%. However, it features plenty of other high fliers with dominant positioning in their respective markets, including Square (NYSE:SQ) and Illumina (NASDAQ:ILMN).

Moreover, some of ARKKs allure as an AI ETF is realized through its exposure to the deep-learning market a truly compelling long-term trend.

In fact, ARK believes that deep learning will be more impactful than the Internet:

The Internet created roughly $10 trillion in global equity market capitalization in 20 years. We believe that deep learning will have 3x that impact, adding $30 trillion to global equity markets over the next two decades.

Source: Shutterstock

Expense Ratio: 0.68% per year

The Global X Robotics & Artificial Intelligence ETF (NASDAQ:BOTZ) is an established giant in the world of AI ETFs with over $1 billion in assets under management and a track record spanning nearly four years.

The fund holds 38 stocks and its top holding is Nvidia (NASDAQ:NVDA), a name with deep AI credibility. That stock accounts for the bulk of the semiconductor exposure in BOTZ. Underscoring this funds diversity, BOTZ features allocations to 14 industry groups, including chip makers.

Importantly, BOTZ provides exposure to increasing efficiencies in the AI universe. In turn, these are widely viewed as a vital long-term driver of AI investment outcomes.

In the past, training robotics was laborious and required time, capital, and engineering expertise, but AI simulators are becoming increasingly accurate at transferring learning to real world applications, according to Global X research. These simulators can run thousands of iterative processes in seconds, creating vast amounts of training data.

Source: Shutterstock

Expense Ratio: 0.40%

The Defiance Quantum ETF (NYSEARCA:QTUM) is one of the premier AI ETFs when it comes to accessing the deep and machine learning themes. The funds underlying benchmark the BlueStar Quantum Computing and Machine Learning Index provides robust exposure to those markets.

Home to 60 stocks, QTUMs index gives the fund a deeper bench than many competing AI ETFs. QTUM itself has 84 holdings.

QTUM components are involved in quantum computing, which data indicates QTUMs exposure to this burgeoning theme could be a positive long-term driver.

The global commercial quantum computing market is expected to reach $1.3 billion by 2027 at a compound annual growth rate (CAGR) of 52.9% from 2022 to 2027 and $161 million by 2022 from $33.0 million in 2017 at a CAGR of 37.3% for the period 2017-2022, notes BCC Research.

Todd Shriber has been an InvestorPlace contributor since 2014. As of this writing, he did not hold a position in any of the aforementioned securities.

See original here:
3 AI ETFs Changing The World - Investorplace.com

The race to build the best and the fastest quantum computer continues, but now it's not just Google AI and IBM who are running Honeywell has joined in too.

Entering in style, Honeywell made the bold statement that "By the middle of 2020, we're releasing the most powerful quantum computer yet."

SEE ALSO: IBM'S 53 QUBIT QUANTUM COMPUTER WILL BE AVAILABLE BY OCTOBER

Google AI and IBM have been in the race for a while now. Just last October Google claimed to have made it to "quantum supremacy" by creating a quantum computer that could solve a problem that would have taken the world's most powerful supercomputer 10,000 years to figure out.

Immediately after, IBM refuted Google's statement.

Perhaps it's now time for both Google and IBM to move aside and let a third contender join in on the fun. North Carolina-based multinational conglomerate, Honeywell, has claimed that their quantum computer has twice the power as the best quantum computer that currently exists.

It's an interesting statement to make given there isn't yet a universally accepted standard for the power of a quantum computer.

Honeywell's quantum computer is supposedly extremely stable, and instead of depending on faster superconducting chips like Google AI and IBM use, Honeywell's computer uses ion traps instead. This technology enables individual ions to be held in place using electromagnetic fields and moves around thanks to laser pulses.

It's these ion traps that Honeywell claims will make its quantum computer far more scaleable.

We're yet to see a commercially available quantum computer, however, these technologies hold the real potential to revolutionize computing by being able to solve unbelievably long and complicated numerical problems simultaneously by using qubits instead of bits.

After Honeywell's rather large claim, the company has yet to reveal the computer but as they stated, we'll just have to wait until the middle of 2020.

Original post:
Honeywell Claims to Have Built the "Most Powerful" Quantum Computer - Interesting Engineering

Inside the race to build the best quantum computer on Earth - ET Prime

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Why IBM thinks quantum supremacy is not the milestone we should care about.

Neerja Sundaresan, research team member of IBM Research, talks to her colleague Douglas McClure, next to an IBM Q System One quantum computer at IBM's research facility in New York.

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Competitors are monitoring the Toyota-Suzuki integration and are hoping for a slowdown in decision making. But a sluggish Indian market isnt attractive enough for them to put in money and effort to snatch Marutis market share. Indias largest carmaker, however, faces profitability hurdles, among other challenges. Last of a two-part series.

Startups such as WorkIndia, Betterplace, Awign, and Utter have ushered in the digital age for blue-collar job search. Today, millions of such workers are using the apps of these companies to find jobs, pick up skills, and run gigs. However, the segment largely remains a niche for impact investors, with mainstream VCs still watching from the sidelines.

RBIs proposed write-down of Yes Banks perpetual bonds has grave implications for Indias ailing financial system. The country cant be seen as indifferent to creditor obligations. It couldnt have come at a worse time just when India is making efforts to quickly expand its small bond market and tap international debt markets through a larger presence in global bond indices.

The deadly coronavirus has taken a toll on the global economy, with the Indian stock market also becoming a casualty. While the NSEs benchmark index, Nifty, is down by 7% over the last one month, the Quality Index has largely held steady. And investors, who paid high valuations for these stocks, are relatively unhurt.

Though zero-alcohol beer has grown immensely popular in the country within a short span, cola giants dismiss the segment as too tiny to worry about. But attractive pricing and rapidly shifting consumer preferences give the beer zero category a clear edge. Hence, industry participants believe it can create a dent in the market share of cola giants.

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Inside the race to build the best quantum computer on Earth - Economic Times

UC Riverside (UCR) is set to lead a project focused on enabling scalable quantum computing after winning a $3.75 million Multicampus-National Lab Collaborative Research and Training Award.

The collaborative effort will see contributions from UC Berkeley, UCLA and UC Santa Barbara, with UCR acting as project coordinator.

Scalable quantum computing

Quantum computing is currently in its infancy but it is expected to stretch far beyond the capabilities of conventional computing in the coming years. Intensive tasks such as modeling complex processes, finding large prime numbers, and designing new chemical compounds for medical use are what quantum computers are expected to excel at.

Quantum information is stored on quantum computers in the form of quantum bits, or qubits. This means that quantum systems can exist in two different states simultaneously as opposed to conventional computing systems which only exist in one state at a time. Current quantum computers are limited in their qubits, however, so for quantum computing to realize its true potential, new systems are going to have to be scalable and include many more qubits.

The goal of this collaborative project is to establish a novel platform for quantum computing that is truly scalable up to many qubits, said Boerge Hemmerling, an assistant professor of physics and astronomy at UC Riverside and the lead principal investigator of the three-year project. Current quantum computing technology is far away from experimentally controlling the large number of qubits required for fault-tolerant computing. This stands in large contrast to what has been achieved in conventional computer chips in classical computing.

3D printed ion trap microstructures

The research team will use advanced 3D printing technology, available at Lawrence Livermore National Laboratory, to fabricate microstructure ion traps for the new quantum computers. Ions are used to store qubits and quantum information is transferred when these ions move in their traps. According to UCR, trapped ions have the best potential for realizing scalable quantum computing.

Alongside UCR, UC Berkeley will enable high-fidelity quantum gates with the ion traps. UCLA will integrate fiber optics with the ion traps, UC Santa Barbara will put the traps through trials in cryogenic environments and demonstrate shuttling of ion strings while the Lawrence Berkeley National Laboratory will be used to characterize and develop new materials. The project coordinator, UCR, will develop simplified cooling schemes and research the possibility of trapping electrons with the traps.

We have a unique opportunity here to join various groups within the UC system and combine their expertise to make something bigger than a single group could achieve, Hemmerling stated. We anticipate that the microstructure 3D printed ion traps will outperform ion traps that have been used to date in terms of the storage time of the ions and ability to maintain and manipulate quantum information.

He adds, Most importantly, our envisioned structures will be scalable in that we plan to build arrays of interconnected traps, similar to the very successful conventional computer chip design. We hope to establish these novel 3D-printed traps as a standard laboratory tool for quantum computing with major improvements over currently used technology.

Hemmerlings concluding remarks explain that many quantum computing approaches, while very promising, have fallen short of providing a scalable platform that is useful for processing complex tasks. If an applicable machine is to be built, new routes must be considered, starting with UCRs scalable computing project.

Early quantum technology work involving 3D printing has paved the way for UCRs future project. When cooled to near 0K, the quantum characteristics of atomic particles start to become apparent. Just last year, additive manufacturing R&D company Added Scientific 3D printed the first vacuum chamber capable of trapping clouds of cold atoms. Elsewhere, two-photon AM system manufacturer Nanoscribe introduced a new machine, the Quantum X, with micro-optic capabilities. The company expects its system to be useful in advancing quantum technology to the industrial level.

The nominations for the 2020 3D Printing Industry Awards are now open. Who do you think should make the shortlists for this years show? Have your say now.

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Featured image showsUniversity of California, Riverside campus. Photo via UCR.

Link:
UC Riverside to lead scalable quantum computing project using 3D printed ion traps - 3D Printing Industry