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Prediction: These Will Be 5 of the Most Valuable Stocks by 2050 – The Motley Fool

History proves the stock market is one of the greatest vehicles for generating long-term wealth, and there's no shortage of spectacular examples.

Apple is currently the world's largest company, with a valuation of $2.4 trillion, and an investment in its initial public offering (IPO) in 1980 has yielded a return of 155,000% to date. Similarly, shares of Microsoft have soared 382,700% since its IPO in 1986.

But where will the next market leaders come from? Companies developing technologies like semiconductors, artificial intelligence (AI), and cybersecurity might be the best candidates. Through that lens, here are five stocks that could be among the world's most valuable by 2050.

Advanced Micro Devices (AMD -2.32%) is one of the world's leading semiconductor companies. Its advanced computer chips power some of the hottest consumer products, from the infotainment systems in Tesla's electric vehicles to gaming consoles like the Microsoft Xbox and Sony PlayStation.

But the data center is the company's most valuable opportunity. AMD is a go-to chipmaker for the top providers of cloud computing services. Moreover, its $49 billion acquisition of Xilinx last year sets it up to lead the high-performance computing industry -- including areas like artificial intelligence.

Xilinx's adaptive technology allows chips to be reconfigured after the manufacturing process, significantly shortening the upgrade cycle, which is exactly what the AI sector needs to speed up its progress.

The semiconductor industry was valued at $573 billion in 2022 with a 12.2% annual growth rate, according to Fortune Business Insights. If it continues to expand at that pace, AMD could be playing in a $14 trillion market by 2050. But that's not all, because the AI sector could absolutely trounce that opportunity (more on that later).

If you've never used one of Meta Platforms' (META 0.85%) social networks, chances are you know someone who has. Facebook, Instagram, and WhatsApp have a combined 3.7 billion monthly users, which is close to half the population on Earth. Meta is focused on maintaining that advantage and it's doing so in a few ways.

First, it's investing in its Reels feature, which curates short-form video content using AI, primarily to fend off a competitive threat from ByteDance's TikTok. Second, it's pouring billions ($13.7 billion in 2022, to be precise) into building a virtual world called the metaverse.

Meta thinks virtual reality could be the future of social and professional connection, so it's developing both the hardware and the software to cement its leadership position. Some estimates suggest the value of that opportunity could fall between $2 trillion and $30 trillion within the next decade, and it could grow even even more in the long term as the technology improves.

It will be difficult for a competitor to challenge Meta's current dominance, because it has already done the hard part of attracting such an enormous user base. So as long as the company continues to innovate to keep those users engaged, it should maintain its position among the most valuable companies in the world when 2050 rolls around.

Like AMD, Nvidia (NVDA -1.51%) makes some of the world's most advanced semiconductors. But it's focused on becoming a platform computing company, in which it also develops software, especially in segments like artificial intelligence, where it's already a widely recognized leader.

Nvidia's graphics chips are extremely popular in the gaming community, but it's the data center segment that holds the most promise. Its hardware has turned data centers from a place to store information into a training ground for AI and machine learning models -- including OpenAI's ChatGPT. The company's chips also power the most advanced supercomputers on the planet, and for the first time ever, businesses will soon be able to access them online through cloud providers like Microsoft Azure.

The Nvidia Drive platform also holds long-term promise. It's an end-to-end hardware and software solution for car manufacturers wanting to build autonomous self-driving capabilities into their vehicles -- an industry that could generate $14 trillion in value as soon as 2027.

Simply put, Nvidia has inserted itself into almost every aspect of the AI industry. End users will find it difficult to access the technology without an Nvidia hardware or software product, and that is going to drive substantial long-term value creation.

CrowdStrike (CRWD -2.23%) is a cybersecurity industry leader thanks to its continued development of AI to improve accuracy and reduce response times. The corporate world continues to shift its day-to-day operations online using cloud computing technology, and it's leaving organizations more vulnerable than ever.

Hosting valuable assets and applications online leads to a much larger attack surface; hackers can effectively strike from anywhere on the planet. CrowdStrike offers a leading portfolio of solutions to protect the cloud, the endpoint, and user identities, the latter two of which are especially important for organizations with remote workforces.

The company's AI and machine learning models are fed 2 trillion events per day, so they continue to improve at a rapid pace. CrowdStrike currently serves over 23,000 customers, and the more it attracts, the faster its models learn and the better its products become.

A 2022 survey by Morgan Stanleyrevealed cybersecurity is the last expense corporate leaders plan to cut, even in the event of a recession. The fact is, this technology is absolutely critical, and as the world becomes increasingly digital, there's no going back.

Let it be known: C3.ai (AI 1.53%) is my riskiest, most outlandishpick of this bunch, though it's packed with potential. The company is worth just $2.4 billion right now, but it has pioneered a brand-new industry called enterprise artificial intelligence. It sells AI applications to businesses, whether they need ready-made software or an entirely custom solution.

I touched on the potential value of AI earlier in this piece. Ark Investment Management, led by tech investor Cathie Wood, thinks the technology could add $200 trillion in output to the global economy as soon as 2030 through productivity increases in areas like computer programming. If that happens, software providers like C3.ai will have a $14 trillion revenue opportunity.

C3.ai already provides AI applications to the largest organizations in the world from fossil fuel giant Shellto the U.S. Department of Defense. Moreover, the top three cloud computing platforms -- Amazon Web Services (AWS), Microsoft Azure, and Alphabet's Google Cloud -- have partnered with C3.ai to integrate its AI technology into their own services.

Programmers using C3.ai on AWS, for example, can build applications 26 times faster than on AWS alone, with 99% less written code required. C3.ai is already delivering the productivity increases Ark is referring to.

Even if I'm wrong about C3.ai becoming one of the world's most valuable companies by 2050 -- and I very well might be -- there's still room for significant upside in its stock given the disparity between its tiny valuation today and its enormous long-term opportunity.

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The dawn of ChatGPT: Artificial intelligence could be a boon for the … – freshwatercleveland

Note: Press "Esc" on your keyboard to close Fullscreen mode, or click the minimize icon.

In the ongoing aftermath of COVID-19, manufacturing enterprises are seeking sustainable supply chain strategies that include extensive use of artificial intelligenceTom Fisk - Pexels

Manufacturing Growth Advocacy Network (MAGNET)Bob Perkoski

AI can automate routine tasks around order tracking and quality control, reducing costs and improving efficiencyTiger Lily - Pexels

On the transportation side, AI could spit out optimal delivery routes, or exact windows for trucks to arrive or depart a transportation centerTima Miroshnichenko - Pexels

How can ChatGPT be used by manufacturers to help their businesses?

Anyone with a computer and a bit of curiosity can pose this question to the ChatGPT online artificial intelligence (AI) tool. With a single prompt, the AI-powered chatbot will sing the praises of digital transformationa new age for the industry where customer service and lead generation exist on the cutting edge.

Yet, for sector proponents including Clevelands Manufacturing Growth Advocacy Network (MAGNET), the technologys potential for supply chain optimization is the real eye-opener.

In recent years, supply chains have become significantly more challenging to manage, notes MAGNET president and CEO Ethan Karp. Existing vulnerabilities in the flow of raw materials and finished goods were worsened by the pandemic, disrupting new product creation and leaving companies scrambling for answers.

In the ongoing aftermath of COVID-19, manufacturing enterprises are seeking sustainable supply chain strategies that include extensive use of artificial intelligence. The ChatGPT innovations ability to understand relationships and analyze huge volumes of data can change how these companies approach everything from sales to materials procurement.

The functionality of ChatGPT can take data from inventory systems and generate an email to a supplier that says, We need this on X date, explains Karp.

Whereas preventive maintenance is perhaps the most talked-about use case for AI tools like ChatGPT, the techs pattern identifying abilities can be harnessed for supply chain issues as well, according to Karp.

In theory, the powerful chatbot could forecast supply disruptionsallowing manufacturers to plan for problems before they occur. Additionally, AI can automate routine tasks around order tracking and quality control, reducing costs and improving efficiency.

Previously siloed manufacturing departments and stakeholders, meanwhile, could be brought together by AI. The technology has the industry covered on risk management as well, giving builders lead time on natural disasters or geopolitical events before major supply network disruptions arise.

Enterprise resource planning systems (ERP) are likely the best supply-related application for the nascent chatbot, says Karp. As ERP is integrated into daily business processes, including AI in that equation only makes sense.

All those functions about communicating with suppliers would be embedded in a software package that becomes more powerful and user friendly, Karp says.

Western Reserve University professor Michael GoulderDont get ahead of yourself

Case Western Reserve University (CWRU) professor Michael Goulder knows very well the possibilities of an AI-assisted supply chain. Along with his duties as a professor at CWRU, Goulder also leads the colleges master of supply chain management program.

In his previous career, Goulder oversaw the supply network for Hudson-based JoAnn Fabrics, giving him a full understanding of the complex system that starts with raw materials and ends when a user receives a finished product. Supply administration done correctly reduces costs and leads to a more efficient production cycle, he says.

Considering how fragile supply lines became during COVID-19, using AI and machine learning to strengthen the system seems an obvious choice.

However, the boundless buzz around AI reminds the CWRU prof of the late 1990s Internet boom and subsequent bust.

There is a vast overestimation of the speed at which these technologies will be perfected and commercialized, says Goulder. It took 10-plus years for the Internet to mature, and likewise it will take longer than people think for AI to mature.

Though Goulder is cautious about AIs immediate impacts, there are reasons to be excited about the technologys future. AI could be fed big supply chain data sets and return thousands of actionable variables.

The beauty of machine learning is that it will determine the variables that make the most sense, Goulder says. That will revolutionize supply chain forecasting when the technology matures.

Inventory and transportation management are additional circumstances where AI can shine. On the transportation side, artificial intelligence could spit out optimal delivery routes, or exact windows for trucks to arrive or depart a transportation center.

Companies will have a model about what products are selling in what parts of the country, then start shipping those goods knowing what the demands are, says Goulder. The [AI] models will learn and get better over time.

MAGNET president and CEO Ethan KarpPlacing a bet on AI

Currently, most organizations do not have the sophistication to leverage emerging AI technologies. Any manufacturing firm interested in pursuing digital designs must know how to capture the innovations full value, Goulder says.

That means purpose-built analytics rather than half-hearted experimentation with an application like ChatGPT. Goulder says he expects talents around Python and other programming languages will be in demand as artificial intelligence takes hold in manufacturing and beyond.

Business leaders want highly developed analytical skillsthey wont hire someone if that person doesnt know Python, says Goulder. Those skills are now table stakes. If I was a young person in the supply chain or a mid-career manager, Id make a big bet on those tools.

MAGNETs Karp agrees that ChatGPT cannot just be bolted on to a companys supply chain network. Simply giving the chatbot a few prompts reveals the errors in what passes for its thinking.

Ultimately, it sounds like a person and makes you believe its thinking like a person, but its just taking information and smashing it together with no mind toward sense, Karp argues.

Caveats aside, Karp cannot help but be thrilled by AIs down-the-line benefits for the manufacturing supply chain.

There have been conversations about AI for years, but this makes it real for people, says Karp. The supply chain [for this tech] makes sense, because there is a lot of communication that goes back and forth. The more real-time [we can get], the better.

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Bill Gates praises artificial intelligence in blog post, calling it ‘revolutionary’ – Fox Business

PayPal founding COO David Sacks discusses the potential of ChatGPT and how widespread it could become on 'The Claman Countdown.'

Microsoft co-founder Bill Gates on Tuesday described artificial intelligence (AI) as "revolutionary" and said it will need "rules of the road" as it continues to develop.

In a Tuesday blog post, Gates touted AI, saying it will change how people live and how industries and businesses operate. He called its development "as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone."

NEW YORK, NEW YORK - MAY 03: Bill Gates discusses his new book 'How To Prevent The Next Pandemic' onstage at 92Y on May 03, 2022 in New York City. (Michael Loccisano/Getty Images / Getty Images)

Three areas where Gates argued AI could provide major benefits included productivity, health care and education. He suggested it could boost efficiencies and provide various forms of assistance in those areas.

BILL GATES SAYS AI POSES THREAT TO A POPULAR SEARCH ENGINE

For health and education, particularly, he also said AI could "help reduce inequity if it is properly targeted."

Recently, companies have been developing AI or adding features to their products that utilize it, something Gates noted in his blog post.

GOOGLE VS. MICROSOFT IN AI RACE

One area of AI generative AI has been making headlines in recent months due to attention on ChatGPT, a chatbot made by OpenAI that can respond to user questions and create other content on a wide array of subjects. OpenAI is Microsoft-backed.

Google has begun launching its own Bard AI.

Some companies that have been bringing AI into their features include Salesforce making ChatGPT available for Slack, Spotify rolling out an AI DJ and Snap adding My AI. Meta Platforms CEO Mark Zuckerberg also recently formed an AI-focused team he said was for "building creative and expressive tools" in the short-term and "developing AI personas that can help people in a variety of ways" in the long-term.

Bill Gates, Microsoft co-founder and co-chair of the Bill and Melinda Gates Foundation, addresses guests during the Oslo Energy Forum OEF 2023 at the Oslo City Hall on February 14, 2023. (OLE BERG-RUSTEN/NTB/AFP via Getty Images / Getty Images)

While Gates did praise AI, the Microsoft co-founder did also recognize as "understandable and valid" worries and downsides to AI that some have pointed to.

Some of the issues about AIs he noted included them sometimes being inaccurate, experiencing so-called "hallucinations" and not picking up on context properly, according to the blog post. Gates said the technical issues can and are going to be addressed.

HOW GOOGLE BECAME CAUTIOUS OF AI AND GAVE MICROSOFT AN OPENING

Gates suggested governments and private companies should collaborate to "limit the risks" of people potentially using AI for bad purposes.

Microsoft Chairman Bill Gates listens during a news conference with fellow U.S. executives about their group's recommendations to Congress and the president to revolutionize U.S. energy innovation at the Newseum in Washington June 10, 2010. (REUTERS/ (Reuters Photos)

In the blog, Gates called for establishing "rules of the road" so "any downsides of artificial intelligence are far outweighed by its benefits" and "everyone can enjoy" them no matter their circumstances. Governments and philanthropies, he said earlier in the post, will have important parts in regards to that.

The "Age of AI," Gates concluded, is "filled with opportunities and responsibilities."

Joe Toppe contributed to this report.

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Artificial intelligence in school: Virtually chatting with George … – Redwood City Pulse

ChatGPT both awed and alarmed the computer savvy and the computer-phobic public when the encyclopedic chatbot debuted in November. Teachers worried about cheating, and parents feared the unknown

The artificial intelligence software, which analyzes mammoth amounts of information from the internet, spits out impressive essays and logical answers to seemingly any question -- even, on occasion, with undue confidence, as it miscalculated a math problem or made up an answer.

Sal Khan, founder and chief executive of the Mountain View-based nonprofit global classroom Khan Academy, envisions artificial intelligence as a powerful tool for learning and teaching. On the same day last week that the research lab OpenAI released GPT-4, which is an even more advanced version of ChatGPT, Khan introduced Khanmigo. It's an application of GPT-4 that will be integrated into Khan Academy's lessons and videos.

The timing wasn't coincidental. Khan had been working for six months with OpenAI on the application, getting a sense of GPT-4's possibilities, he said.

"We view it as our responsibility to start deeply working with artificial intelligence, but threading the needle so that we can maximize the benefits and mitigate the risks," he said. "We think artificial intelligence needs to be a tool for real learning and not for cheating."

Khan Academy offers free personalized learning where students can work at their own pace, a comprehensive set of pre-K through early college courses and programs on life skills. Its videos and prompts guide students through content that's available in 50 languages. Tens of millions of students have used Khan Academy.

Khan said Khanmigo will act like a "virtual Socrates," asking questions and coaxing answers, not giving them, suggesting how to create students' essays, not writing them -- just as a good tutor would, he said.

Studies point to "high-dosage tutoring" -- face-to-face, in school, several times each week with the same tutor -- as the most effective form of tutoring. But those tutors are hard to find and often expensive. Instead, many districts are relying on tutoring in after-school programs and through companies that offer tutoring by text or phone, more like homework help.

Khanmigo will work in real time in the classroom with students who are struggling, Khan said. Teachers who integrate Khan Academy will have a record of Khanmigo's "conversations" with individual students and monitor their progress, Khan said. Parents will have full access to what students are working on at home, too.

Khanmigo will engage and captivate students in ways that haven't been possible until developments in artificial intelligence in the last few years, Khan said. What's available already hints at the potential, he said. Students can have conversations with presidents they're studying in history class. Khanmigo will take the other side in debate exercises.

Over time, there will be a lot to offer teachers, from correcting papers to creating handouts and prompts for discussions. Khan Academy has been consulting with experienced teachers and content experts on an activity to develop lesson plans, "and it's quite good," Khan said.

The assistance will save teachers time so that they can spend more of the day focusing on their students.

To be clear, he said in announcing Khanmigo, this will be a "learning journey," and "there is a long way to go. AI makes mistakes. Even the newest generation of AI can still make errors in math."

That is why Khanmigo is rolling out slowly, as Khan and his team troubleshoot and build safeguards into the system, defining areas that are inappropriate and off-limits.

The first users have been a select group of students, teachers and funders. Soon Khanmigo will be open to the 500 school districts nationwide that have partnered with Khan Academy. In California, they include Atwater Elementary School District, Long Beach Unified and Compton Unified.

Khan is inviting individuals to join a waiting list and will let in several thousand in the coming weeks. Khan is charging them $20 per month to cover development expenses and OpenAI's fees. The cost should come down substantially in coming months, and there'll be no charge for low-income schools, he said.

Compton Superintendent Darin Brawley said Friday that high school grades hadn't used Khan Academy since the start of the pandemic but the district is interested in learning more about its use of artificial intelligence in the classroom.

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3 Monster Stocks to Buy Without Any Hesitation – The Motley Fool

Many investors are nervous right now. You can't blame them. The bad news about several banks has rattled the stock market. The chances of a recession in the U.S. appear to have risen. It's understandable for an investor to be reluctant about scooping up shares of any stock with all of this uncertainty.

If you have a long-term mindset, though, there's no reason to be nervous at all. Adding the right stocks to your portfolio should make you money over the next decade and beyond. But which stocks are the right ones?Here are three monster stocks to buy without any hesitation, in my view.

Google Search, Google Cloud, YouTube, YouTube TV, Android, Chromebook, Pixel, Nest. Those are some of the top reasons to buy Alphabet (GOOG -0.19%) (GOOGL -0.15%) that immediately come to mind. These and other products and services generated a whopping $282.8 billion in sales and nearly $60 billion in profits last year.

Keep in mind that those results came during a period when the advertising market was weak because of worries about the economy. Once the outlook improves (which it will, sooner or later), Alphabet will almost certainly deliver even more impressive numbers. And there are three key growth drivers to especially watch.

Google Cloud already brings in a nice chunk of revenue for Alphabet -- more than $7.3 billion in 2022. However, it's not profitable yet. As more companies move their apps and data to the cloud, I expect Google Cloud will become an even bigger winner. When (not if, in my opinion) it achieves profitability, Alphabet's bottom line will shift into a higher gear.

Artificial intelligence (AI) should also provide a massive tailwind for Alphabet in the coming years. Sure, OpenAI's ChatGPT and GPT-4 have been impressive. But Alphabet has its own AI products on the way. More importantly, the company has the expertise, financial resources, and access to data for training AI systems that few can match.

Finally, there's Alphabet's leadership in quantum computing. This is an area that I consider the most overlooked reason to buy Alphabet stock. Global consulting firm McKinsey & Company predicts that quantum computing could be a $700 billion market in the future. I fully expect Alphabet to be one of the top players.

There's nothing surprising about how Amazon (AMZN -0.59%) makes money. Two-thirds of its total revenue comes from e-commerce, including the company's online stores and third-party seller services. This business definitely has room to grow: Last year, e-commerce represented only 14.6% of retail sales in the U.S.

But the company's Amazon Web Services (AWS) cloud hosting unit is how it makes big profits. AWS generated nearly 75% of Amazon's total operating income in 2022. And it was responsible for all of the company's operating income in the fourth quarter.

Now for the really good news. Amazon CEO Andy Jassy estimates that as much as 95% of global IT spending remains on-premise rather than in the cloud. He's not alone in thinking that those numbers could flip over the next 10 to 15 years.It's quite possible that AWS will be bigger in the not-too-distant future than Amazon's entire operations are now.

I fully expect that Amazon will grow on other fronts, too. Healthcare especially stands out. Amazon has the fastest-growing digital ad business. It's also, like Alphabet, a leader in AI. My prediction is that this big company will be a lot bigger by 2030.

Ordinarily, it makes sense for investors to be at least a little hesitant about buying biotech stocks. Their risks include clinical setbacks and patent cliffs. However, I believe thatVertex Pharmaceuticals (VRTX 3.16%) is so attractive that it's an exception to the rule.

For one thing, Vertex commands a monopoly in treating the underlying cause of cystic fibrosis (CF). No patent cliff is on the horizon, either: The patents for the company's newest and most powerful CF drug yet don't expire until 2037. Also, the leading potential rivals haven't advanced beyond phase 2 testing, which means they're still years away from even having a chance to compete against Vertex's therapies.

Vertex has experienced some pipeline failures in the past. But there's reason to be optimistic about the future. The company awaits regulatory approvals for exa-cel, which effectively cures sickle cell disease and transfusion-dependent beta-thalassemia. It also has three programs in late-stage testing. Two of them -- non-opioid pain drug VX-548 and the vanzacaftor triple-combo CF therapy -- could reach the market in the near term.

If that's not enough, Vertex's other late-stage candidate, inaxaplin, targets an indication (APOL1-mediated kidney disease) that affects a bigger patient population than CF does. And as icing on the cake, the company believes it's in a good position to develop a cure for type 1 diabetes (T1D). Vertex is already evaluating the first T1D cell therapies in early stage testing.

Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Keith Speights has positions in Alphabet, Amazon.com, and Vertex Pharmaceuticals. The Motley Fool has positions in and recommends Alphabet, Amazon.com, and Vertex Pharmaceuticals. The Motley Fool has a disclosure policy.

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VPS Hosting Provider Market Overview, Cost Structure Analysis, Growth Opportunities And Forecast To 2029 – openPR

The VPS Hosting Provider report presents information related to restraints, key drivers, and opportunities, along with a detailed global market share analysis. The current market is quantitatively analyzed from 2023 to 2029 to highlight the global market growth scenario. The competitive landscape comprises key players, strategies, and new developments in the upcoming years.

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The report divides the international VPS Hosting Provider market by application. By region, by type, and by end user. Each segment of the market is examined broadly to deliver trustworthy knowledge for market investments. The VPS Hosting Provider research report reveals the current market norms, latest important revolutions of outcomes, and market players. Hence, this research report will help the customers in the global market plan their next future towards the environment of the markets future. It additionally discusses about the market size and growth parts of different Segments. Studying and analyzing the impact of Coronavirus COVID-19 on the VPS Hosting Provider industry, the report gives an in-depth analysis and expert suggestions on how to face the post COIVD-19 period. This market research study presents actionable market insights with which environmental and profitable business approaches can be created.

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The market research includes historical and forecast data from like demand, application details, price trends, and company shares of the VPS Hosting Provider by geography, especially focuses on the key regions like United States, European Union, China, and other regions.

In addition, the report provides insight into main drivers, challenges, opportunities and risk of the market and strategies of suppliers. Key players are profiled as well with their market shares in the global VPS Hosting Provider market discussed. Overall, this report covers the historical situation, present status and the future prospects of the global VPS Hosting Provider market for 2023-2029.

This VPS Hosting Provider Report Provides a superior market perspective in terms of product trends, marketing strategy, future products, new geographical markets, future events, sales strategies, customer actions or behaviors. This market research study presents actionable market insights with which sustainable and money-spinning business strategies can be created.

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The essential aspects like the latest market dynamics, development trends, and growth opportunities are presented, along with industry barriers, developmental threats, and risk factors. The report provides a concise market view that will provide ease of understanding. Also, the study presents the analytical depiction of the global market industry with the current and future estimations of the market.

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Fujitsu and Osaka University develop new quantum computing … – Fujitsu

Realizing highly accurate quantum error correction even for quantum computers with about 10,000 physical qubitsOsaka University, Fujitsu LimitedNews Facts:

Tokyo and Osaka, March 23, 2023

Fujitsu and Osaka Universitys Center for Quantum Information and Quantum Biology (QIQB) today revealed the development of a new, highly efficient analog rotation quantum computing architecture, representing a significant milestone toward the realization of practical quantum computing. The new architecture reduces the number of physical qubits required for quantum error correction a prerequisite for the realization of fault-tolerant quantum computing by 90% from 1 million to 10,000 qubits. This breakthrough will allow research to embark on the construction of a quantum computer with 10,000 physical qubits and 64 logical qubits (4), which corresponds to computing performance of approximately 100,000 times that of the peak performance of conventional high performance computers.

Moving forward, Fujitsu and Osaka University will further refine this new architecture to lead the development of quantum computers in the early FTQC era, with the aim of applying quantum computing applications to a wide range of practical societal issues including material development and finance.

Gate-based quantum computers are expected to revolutionize research in a wide range of fields including quantum chemistry and complex financial systems, as they will offer significantly higher calculation performance than current classical computers.Logical qubits, which consist of multiple physical qubits, play a major key role in quantum error correction technology, and ultimately the realization of practical quantum computers that can provide fault-tolerant results.

Within conventional quantum computing architectures, calculations are performed using a combination of four error-corrected universal quantum gates (5) (CNOT, H, S, and T gate). Within these architectures, especially quantum error correction for T-gates requires a large number of physical qubits, and rotation of the state vector in the quantum calculation requires repeated logical T-gate operations for approximately fifty times on average. Thus, the realization of a genuine fault-tolerant quantum computer is estimated to require more than one million physical qubits in total.

For this reason, quantum computers in the early FTQC era using conventional architecture for quantum error correction can only conduct calculations on a very limited scale below that of classical computers, as they work with a maximum of about 10,000 physical qubits, a number far below that required for genuine, fault-tolerant quantum computing.

To address these issues, Fujitsu and Osaka University developed a new, highly efficient analog rotation quantum computing architecture that is able to significantly reduce the number of physical qubits required for quantum error correction, and enable even quantum computers with 10,000 physical qubits to perform better than current classical computers, accelerating progress toward the realization of genuine, fault-tolerant quantum computing.

Fujitsu and Osaka University have been promoting joint R&D in quantum error correction technology including new quantum computation architectures for the early FTQC era at the Fujitsu Quantum Computing Joint Research Division, a collaborative research effort of the QIQB, established on October 1, 2021 at the campus of Osaka University as part of Fujitsus Fujitsu Small Research Laboratory program (6).

By redefining the universal quantum gate set, Fujitsu and Osaka University succeeded in implementing a phase rotating gate a world first which enables highly efficient phase rotation, a process which previously required a high number of physical qubits and quantum gate operations.

In contrast to conventional architectures that required repeated logical T-gate operations using a large number of physical qubits, gate operation within the new architecture is performed by phase rotating directly to any specified angle.

In this way, the two parties succeeded in reducing the number of qubits required for quantum error correction to around 10% of existing technologies, and the number of gate operations required for arbitrary rotation to approx. 5% of conventional architectures. In addition, Fujitsu and Osaka University suppressed quantum error probability in physical qubits to about 13%, thus achieving highly accurate calculations.

The newly developed computing architecture lays the foundation for the construction of a quantum computer with 10,000 physical qubits and 64 logical qubits, which corresponds to computing performance of approximately 100,000 times that of the peak performance of conventional high performance computers.

Research and development of the new quantum computing architecture was supported by the following programs: Japan Science and Technology Agency (JST), The program on open innovation platform for industry-academia co-creation (COI-NEXT), "Quantum Software Research Hub" (JPMJPF2014); JST Moonshot Goal 6 "Realization of a fault-tolerant universal quantum computer that will revolutionize economy, industry, and security by 2050", R&D project "Research and Development of Theory and Software for Fault-tolerant Quantum Computers" (JPMJMS2061); MEXT Quantum Leap Flagship Program (MEXT Q-LEAP) "Development of quantum software by intelligent quantum system design and its applications" (JPMXS0120319794) and "Development of quantum software applications by fast classical simulator of quantum computers" (JPMXS0118067394).

Fujitsus purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$32 billion) for the fiscal year ended March 31, 2022 and remains the top digital services company in Japan by market share. Find out more: http://www.fujitsu.com.

Osaka University was founded in 1931 as one of the seven imperial universities of Japan and is now one of Japan's leading comprehensive universities with a broad disciplinary spectrum. This strength is coupled with a singular drive for innovation that extends throughout the scientific process, from fundamental research to the creation of applied technology with positive economic impacts. Its commitment to innovation has been recognized in Japan and around the world, being named Japan's most innovative university in 2015 (Reuters 2015 Top 100) and one of the most innovative institutions in the world in 2017 (Innovative Universities and the Nature Index Innovation 2017). Now, Osaka University is leveraging its role as a Designated National University Corporation selected by the Ministry of Education, Culture, Sports, Science and Technology to contribute to innovation for human welfare, sustainable development of society, and social transformation.Website: https://resou.osaka-u.ac.jp/en

Fujitsu LimitedPublic and Investor Relations DivisionInquiries

Osaka UniversityInternational Advanced Research Institute, Center for Quantum Information and Quantum BiologyCOI-NEXT, Quantum Software Research HubE-mail: coi-next@qiqb.osaka-u.ac.jp

All company or product names mentioned herein are trademarks or registered trademarks of their respective owners. Information provided in this press release is accurate at time of publication and is subject to change without advance notice.

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Team Devises Crystal-Clear Solution to Quantum Computing Puzzle – University of Texas at Dallas

From left: Xiuyao Lang, Dr. Kyeongjae Cho and Yaoqiao Hu found that making quantum computing qubits from thin sheets of crystals called transition metal dichalcogenides can avoid the challenges of using synthetic diamonds. The researchers are holding atomic structure models of solids, with the white sticks representing the bonding between atoms, and the blue, red and gray balls representing different atoms in solid structures.

University of Texas at Dallas researchers have developed a new approach that addresses challenges in the field of quantum computing and has the potential to revolutionize computing, communications and electronic security.

To make solid-state qubits, the basic information unit for quantum computers, a defect must be inserted into the solid material to control the spin states of electrons. Creating and positioning the defect, however, especially in the most commonly used solid material synthetic diamonds poses a major challenge.

UT Dallas researchers found that making qubits from thin, two-dimensional sheets of crystals called transition metal dichalcogenides (TMDs) instead of diamond can solve this problem. Led by Dr. Kyeongjae Cho, professor of materials science and engineering in the Erik Jonsson School of Engineering and Computer Science, the researchers published their findings online Dec. 6 in Nature Communications.

We need to move away from using diamond to using a system that is 2D, like paper, to control defect positions. We investigated many different types of 2D materials and defects for this study, said Cho, who is the senior author.

While diamond qubits must first be converted to the correct infrared wavelength, TMD-based qubits do not need to be converted.

Dr. Kyeongjae Cho, professor of materials science and engineering in the Erik Jonsson School of Engineering and Computer Science

Cho said the ability to control a qubits properties allows researchers to develop a better way of maintaining the qubit conditions needed for two essential processes: entanglement and long-distance communication over optical-fiber cable networks.

Quantum entanglement is a phenomenon in which qubits are linked and can transmit information to one another regardless of their physical distance. Its the underlying process that enables quantum computers to process huge amounts of information simultaneously. But entanglement can only be maintained under precisely controlled conditions. Optimizing qubit properties using TMDs is a key step in this process and should help produce reliable quantum information processing and communication, Cho said.

TMD qubits provide another advantage over those made from diamond. Long-distance communication between computers takes place over optical-fiber networks and requires the signals to be in the form of infrared light.

While diamond qubits must first be converted to the correct infrared wavelength, TMD-based qubits do not need to be converted, Cho said.

UTD researchers also collaborated with researchers from the Massachusetts Institute of Technology and other institutions to develop a method for fabricating smaller 2D TMD single crystal materials by geometric confinement. That research was published Jan. 18 in Nature.

Yaoqiao Hu, a materials science and engineering doctoral student at UTD and a co-author of both papers, became interested in the research while working on Chos quantum computer materials project.

I think quantum computing is very interesting it can solve problems that our classical computers cannot solve, Hu said. I want to use materials science to provide technology and make a contribution to the platform to achieve quantum computing.

Hu completed an internship at Texas Instruments last summer, and he expects to continue his work at the company after he finishes the last year of his doctoral program.

Xiuyao Lang, also a materials science and engineering doctoral student and co-author of the Nature Communications paper, enrolled at UTD in 2021 to study quantum technology.

I think its a very good opportunity for me to learn about quantum computing, said Lang, a Eugene McDermott Graduate Fellow. Its a good start for my doctoral research.

Additional UTD co-authors of the Nature Communications article include lead author Yeonghun Lee PhD21, now an assistant professor of electronics engineering at Incheon National University in South Korea, and Dr. Dongwook Kim, a former postdoctoral researcher in Chos lab. Researchers at the University of California, Santa Cruz and the University of Washington also contributed.

The UT Dallas researchers were supported by the Applications and Systems driven Center for Energy-Efficient Integrated NanoTechnologies, a component of the Defense Advanced Research Projects Agencys Joint University Microelectronics Program. Additional support came from the UTD Center for Atomically Precise Fabrication of Solid-State Quantum Devices, the UTD Seed Program for Interdisciplinary Research and the National Research Foundation of Korea. Researchers from collaborating institutions received support from the Army Research Office and the National Science Foundation.

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New experiment translates quantum information between technologies in an important step for the quantum internet – Phys.org

This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

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by Meredith Fore , Chicago Quantum Exchange

Researchers have discovered a way to "translate" quantum information between different kinds of quantum technologies, with significant implications for quantum computing, communication, and networking.

The research was published in the journal Nature on Wednesday. It represents a new way to convert quantum information from the format used by quantum computers to the format needed for quantum communication.

Photonsparticles of lightare essential for quantum information technologies, but different technologies use them at different frequencies. For example, some of the most common quantum computing technology is based on superconducting qubits, such as those used by tech giants Google and IBM; these qubits store quantum information in photons that move at microwave frequencies.

But if you want to build a quantum network, or connect quantum computers, you can't send around microwave photons because their grip on their quantum information is too weak to survive the trip.

"A lot of the technologies that we use for classical communicationcell phones, Wi-Fi, GPS and things like thatall use microwave frequencies of light," said Aishwarya Kumar, a postdoc at the James Franck Institute at University of Chicago and lead author on the paper. "But you can't do that for quantum communication because the quantum information you need is in a single photon. And at microwave frequencies, that information will get buried in thermal noise."

The solution is to transfer the quantum information to a higher-frequency photon, called an optical photon, which is much more resilient against ambient noise. But the information can't be transferred directly from photon to photon; instead, we need intermediary matter. Some experiments design solid state devices for this purpose, but Kumar's experiment aimed for something more fundamental: atoms.

The electrons in atoms are only ever allowed to have certain specific amounts of energy, called energy levels. If an electron is sitting at a lower energy level, it can be excited to a higher energy level by hitting it with a photon whose energy exactly matches the difference between the higher and lower level. Similarly, when an electron is forced to drop to a lower energy level, the atom then emits a photon with an energy that matches the energy difference between levels. A diagram of the electron energy levels of Rubidium. Two of the energy level gaps match the frequencies of optical photons and microwave photons, respectively. Lasers are used to force the electron to jump to higher levels or drop to lower levels. Credit: Aishwarya Kumar

Rubidium atoms happen to have two gaps in their levels that Kumar's technology exploits: one that exactly equals the energy of a microwave photon, and one that exactly equals the energy of an optical photon. By using lasers to shift the atom's electron energies up and down, the technology allows the atom to absorb a microwave photon with quantum information and then emit an optical photon with that quantum information. This translation between different modes of quantum information is called "transduction."

Effectively using atoms for this purpose is made possible by the significant progress scientists have made in manipulating such small objects. "We as a community have built remarkable technology in the last 20 or 30 years that lets us control essentially everything about the atoms," Kumar said. "So the experiment is very controlled and efficient."

He says the other secret to their success is the field's progress in cavity quantum electrodynamics, where a photon is trapped in a superconducting, reflective chamber. Forcing the photon to bounce around in an enclosed space, the superconducting cavity strengthens the interaction between the photon and whatever matter is placed inside it.

Their chamber doesn't look very enclosedin fact, it more closely resembles a block of Swiss cheese. But what look like holes are actually tunnels that intersect in a very specific geometry, so that photons or atoms can be trapped at an intersection. It's a clever design that also allows researchers access to the chamber so they can inject the atoms and the photons.

The technology works both ways: it can transfer quantum information from microwave photons to optical photons, and vice versa. So it can be on either side of a long-distance connection between two superconducting qubit quantum computers, and serve as a fundamental building block to a quantum internet.

But Kumar thinks there may be a lot more applications for this technology than just quantum networking. Its core ability is to strongly entangle atoms and photonsan essential, and difficult task in many different quantum technologies across the field.

"One of the things that we're really excited about is the ability of this platform to generate really efficient entanglement," he said. "Entanglement is central to almost everything quantum that we care about, from computing to simulations to metrology and atomic clocks. I'm excited to see what else we can do."

More information: Aishwarya Kumar et al, Quantum-enabled millimetre wave to optical transduction using neutral atoms, Nature (2023). DOI: 10.1038/s41586-023-05740-2

Journal information: Nature

Provided by Chicago Quantum Exchange

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Innovation in the space industry takes off – MIT Technology Review

In the United Kingdom, all stars are aligning for the space industry to advance, including an active venture capital community, a government cognizant of space techs potential, and close collaboration. Add advancements in emerging technologies, like quantum computing, into the mix, and its potential ignites.

Joshua Western, CEO and co-founder of Wales-based space manufacturing startup Space Forge believes space to be the most important research frontier of our time. He sees space-based technologies as having a profound impact on everything from fighting cancer to developing alloys, semiconductors, electronics, and fibre optics. Its going to offer so many opportunities for so many different people to experiment, to research, and to really accelerate whatever it is that they might be working in on the ground, he says.

Space technologies are taking off in the UK, alongside other emerging technologies like quantum computing. I dont think theres a way we can do comprehensive space research and travel, if you like, without quantum technology, explains Simon Phillips, chief technology officer at Oxford Quantum Circuits (OQC). Its just too much to calculate.

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I think itll be very soon that when we talk about space technology it will always include quantum, says Phillips. Enabling space technology to include quantum, he explains, involves building ground-based systems that are capable of processing lots and lots of quantum information in ways that we never knew were possible before.

In the near term, quantum technologies could assist space R&D efforts such as mission scheduling, materials discovery, and studies on how space travel affects the space environment. Solving the issue of space debris is an area that might sound trite, but, as Phillips notes, its actually a bit of a problem. Quantum, he explains, can model space debris removal hundreds and hundreds of years into the future.

Longer term, quantum technologies could enhance our understanding of how people may be affected by their time in space. We have data on Mars, and we have data on humans, but we dont have an understanding of the interaction between those environments, says Phillips. With quantum, he says, we could work out how to protect people working in space, something he considers to be a critical issue.

As applications of quantum computing in space continue to grow, so too does the UKs space startup ecosystem.

Space Forge, for example, is developing a manufacturing hub that will travel in and out of Earths atmosphere. They will only produce goods in space that lead to a net positive benefit on the ground, says Western. He notes the various advantages of working within space, including a purified environment, lower pressure, extreme temperatures, and reduced carbon emissions. You can access plus or minus 250C, he says.

Meanwhile, radiation rays from the sun could be employed for lithography in making semiconductors. Despite sounding like something straight out of science fiction, all the technologies that are essential for this already exist, says Western.

Another notable UK space startup is Lumi Space. With support from the European Space Agency (ESA) and the UK Space Agency, Lumi Space is building the worlds first global, commercial satellite laser ranging service, which will enable safe, sustainable space exploration. Its technologys applications include collision avoidance, debris removal, and constellation management.

OQC offers the only commercially available quantum computer in the UK. If youre a space startup, you dont need to own a quantum computer, says Phillips. Part of what we do at OQC is put our contributions into colocation data centers, so were connected directly to everyones business.

The UKs space industry has blossomed in recent years, in part because the country acts as a bridge between the U.S. and Europe. Many EU-headquartered space companies have set up an office in the UK to be able to not only work with the UK, but to do better work with the States, says Western.

The UKs space and quantum industries have also received strong support from its government, which in 2022 pledged 1.84 billion to fund space programs and initiatives such as the UK-built Rosalind Franklin Mars Rover that is set to launch in 2028. The government also just announced 2.5 billion in funding to support quantum technologies in the UK for the next decade, as part of the National Quantum Strategy. The government also just announced 2.5 billion in funding to support quantum technologies in the UK for the next decade, as part of the National Quantum Strategy.

Various government departments offer support to companies looking to innovate in the space sector. UK Research and Innovation (UKRI), for example, facilitates fellowships, grants and loans for companies engaging with space science and quantum technologies.

And, bridging and supporting both the quantum and space industries, is the International Network in Space Quantum Technologies, a community of scientists and engineers funded by UKRI and the UK Engineering Physical Sciences and Engineering Council. In addition to hosting workshops and meetings, it organizes and funds research exchanges between its members.

And the UK also offers tax credits for any company looking to advance science or technology in new ways. When you are not profit generating, the ability for your R&D tax credits to be refunded to you, to enable you to carry out more R&D, is an absolute lifeline, explains Western.

Although government support is strong for the advancement of space and quantum technologies, there is a talent gap in both areas. Across STEM sectors as a whole, there is difficulty filling 43% of roles. There are several reasons for this gap.

People simply dont know that there is a space industry in the UK, says Western, who was employee number 50 at the UK Space Agency when it formed just over a decade ago.

In addition to generating awareness about the countrys space efforts, Western says its important to demonstrate that skilled individuals are supported to take the leap from one industry into another.

Very few of our team are from the space industry, says Western. Space Forge routinely recruits talent with expertise outside of space in areas like semiconductors, plasma and particle physics, and robotics.

For companies looking to use quantum computing to bolster their space R&D efforts, the same questions about talent recruitment exist. You would immediately assume that everything you do requires a PhD in quantum physics, and thats definitely not the case, says Phillips. He adds that quantum computers will only gain power and utility if people know how to use them. That starts with letting people play with quantum computers today to their hearts content.

In the UK, government support is propelling a thriving industry and allowing investors to contribute to new frontiers of science. Were talking about technologies that are like a light bulb to a candle, says Phillips. Its not going to happen by chance.

To see things differently, choose the UK. The Department for Business and Trade can connect you with dedicated, professional assistance to locate R&D investment opportunities and support. Get in touch to be connected with our R&D sector and investment experts.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Reviews editorial staff.

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