Mediaboss Marketing

Tech experts across government, academia, and the private sector are methodically working to ensure the worlds data is safe from the impending threat of quantum decryption. While this may represent the greatest technological threat this side of AI-wrought extinction, there may be some silver linings along the way.

At some point, possibly in the near future, researchers believe a quantum computing system capable of breaking RSA encryption the standard that protects banks, military bases, and countless other institutions from hackers and spies will emerge.

Related: WEF identifies AI and quantum computing as emerging global threats

Before that happens, however, several other quantum technology solutions will likely need to come into focus. Chief among them, may very well be quantum sensing.

Jack Hidary, the CEO of SandboxAQ, a Google sibling company focused on quantum technologies, is certain well see scaled, fault-tolerant quantum computers by the end of the decade.

In a talk entitled Quantums Black Swan, given at the World Economic Forum, the CEO discussed the threat of quantum decryption as well as some of the potential breakthroughs we could see ahead of it.

Hidary predicts that certainly by 2029-30, we're going to see scaled, fault-tolerant quantum computers, which could be capable of breaking encryption.

Hes not the only one making predictions that would have seemed bold just a few years ago. IBM, currently considered the industry leader by many, says itll hit an inflection point in quantum computing by 2029. And MIT/Harvard spinout QuEra claims itll have a 10,000-qubit error-corrected quantum computer by 2026.

Theoretically-speaking, any quantum computer capable of quantum advantage outperforming classical binary computers at useful tasks could break RSA encryption.

Luckily, as Hidary pointed out, groups around the world, including the U.S. government and IBM, have identified algorithms and policies that should be able to protect our data if they can be implemented in time.

Its likely well see a swell of related quantum technologies before the threat of quantum-based encryption breaking is realized. This could manifest in less-powerful quantum computing systems capable of pushing beyond the limitations of todays modern binary supercomputers.

However, a more immediate quantum technology might be quantum sensing. According to Hidary, quantum sensors could fill in the gaps in our GPS system perhaps even thwarting active attempts at obfuscating satellite signals.

There could be myriad uses for quantum sensors ranging from medical applications involving deeper, more accurate, real-time body and brain scanning to potential implications for robotics capable of full, untethered autonomy.

Much like most AI experts and pundits couldnt have predicted the impact ChatGPT would have less than a decade after the seminal Generative Adversarial Networks paper was published, it might be difficult to determine just how quantum computing will break through from the lab to the mainstream.

More:
Quantum computing's ChatGPT moment could be right around the corner - Cointelegraph

These quantum computing stocks are likely to be a part of the next technological revolution

ChatGPT and generative AI took the market by storm in 2023. After that, many technology titans, namely Nvidia (NASDAQ:NVDA), saw their share prices appreciate immensely off the back of the AI craze. Quantum computing stocks may now be the next promising technology stocks of the 21st century. It has the potential to solve complex problems that normally slow down classical computers, such as optimization, cryptography, machine learning and simulation.

While quantum computing may still be in its infancy, investors desiring to invest in in the up-and-coming technology should consider one of following three quantum computing stocks to have the best returns.

Source: Bartlomiej K. Wroblewski / Shutterstock.com

Rigetti Computing(NASDAQ:RGTI) is a pure-play quantum computing business thatwent public in October 2021through a SPAC deal. The quantum computing firm isvertically integrated, which means the company is involved in both designing and manufacturing its multi-chip quantum processors. Rigetti uses superconducting circuits as qubits, which are fabricated on silicon chips and operate at near-zero temperatures. In order to get deliver its quantum computing capabilities to clients, Rigetti leverages cloud service networks, while also providing quantum software development tools as well as quantum hardware design and manufacturing.

Rigetti Computings financials show robust growth potential, as the companygenerated $13 millionin revenue in 2022, up 46% year-over-year. The quantum computing firms 2023 financials appear on the way to surpass 2022s numbers.RGTIs shares proved volatile in 2023. At one point, RGTI returned more than 200%, but the stock ended the year at only a 35% return.

While shares are only trading at above $1, interested investors should take the chance to buy shares now.

Source: Amin Van / Shutterstock.com

IonQ(NYSE:IONQ) was the first pure-playamong publicly tradedquantum computing stocks, and the company has become the leader in trapped-ion quantum computing. This subsect of quantum computing uses electrically charged atoms to store and manipulate qubits.

To date, the company claims to have built the worldsmost powerful quantum computerwhich has achieved a quantum capacity 32 qubits.IonQplans to launchmodular quantum computers by the end of 2023. Similar to Rigetti, in order to establish its product in the broader market, IonQ has made its quantum computers accessible to customers and developers through large cloud platforms.

IonQ is still in the pre-revenue stage, butanalysts expectit to generate $19 million in revenue in 2023 and $88 million by 2026. IonQs shares rose more than 259% in 2023 and could continue outperforming the market in 2024 as enterprises seek advanced computing technology.

Source: sdx15 / Shutterstock.com

Taiwan Semiconductor (NYSE:TSM) is the worlds largest contract chipmaker and has to be a part of the portfolio of any investor betting on the next chip revolution. The contract chip manufacturing produces chips for clients such asApple(NASDAQ:AAPL),Qualcomm(NASDAQ:QCOM) and Nvidia. TSM specializes in advanced manufacturing processes, such as 5-nanometer and 3-nanometer technologies, which enable smaller, faster and more power-efficient chips. Due to its competencies in chip manufacturing, the company also plays a key role as a supplier of AI chips for ChatGPT.

Last year, I noted how its Q3 earningsreport showed TSM not only boosted revenue guidance but also predicted the chip slump is coming to an end. Well, TSMs Q4 earnings results, released a few days ago, are bolstering that sentiment. CEO C. C. Wei mentioned the company would return to growth in 2024, definitively marking the bottom of the chipmaker slump.

While TSMC currently manufacturers GPUs and CPUs for Nvidia, Apple and AMD (NASDAQ:AMD), the company could play a serious role in manufacturing quantum computers, once they become more commercial.

On the date of publication, Tyrik Torres did not hold (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

Tyrik Torres has been studying and participating in financial markets since he was in college, and he has particular passion for helping people understand complex systems. His areas of expertise are semiconductor and enterprise software equities. He has work experience in both investing (public and private markets) and investment banking.

Read more from the original source:
If You Can Only Buy One Quantum Computing Stock in January, It Better Be One of These 3 Names % - InvestorPlace

PARIS, Jan. 23, 2024 Alice & Bob, a leading hardware developer in the race to fault tolerant quantum computers, in collaboration with the research institute Inria, today announced a new quantum error correction architecture low-density parity-check (LDPC) codes on cat qubits to reduce hardware requirements for useful quantum computers.

The theoretical work, available on arXiv, advances previous research on LDPC codes by enabling the implementation of gates as well as the use of short-range connectivity on quantum chips. The resulting reduction in overhead required for quantum error correction will allow the operation of 100 high-fidelity logical qubits (with an error rate of 10-8) with as little as 1,500 physical cat qubits.

Over 90% of quantum computing value depends on strong error correction, which is currently many years away from meaningful computations, said Jean-Franois Bobier, Partner and Director at the Boston Consulting Group. By improving correction by an order of magnitude, Alice & Bobs combined innovations could deliver industry-relevant logical qubits on hardware technology that is mature today.

This new architecture using LDPC codes and cat qubits could run Shors algorithm with less than 100,000 physical qubits, a 200-fold improvement over competing approaches 20 million qubit requirement. said Thau Peronnin, CEO of Alice & Bob. Our approach makes quantum computers more realistic in terms of time, cost and energy consumption, demonstrating our continued commitment to advancing the path to impactful quantum computing with error corrected, logical qubits.

Cat qubits alone already enable logical qubit designs that require significantly fewer qubits, thanks to their inherent protection from bit flip errors. In a previous paper by Alice & Bob and CEA, researchers demonstrated how it would be possible to run Shors algorithm with 350,000 cat qubits, a 60-fold improvement over the state-of-the art.

LDPC codes are a class of efficient error correction codes that reduce hardware requirements to correct errors occurring in information transfer and storing. By using LDPC codes on a cat-qubit architecture, this latest work not only shows how the qubit footprint of a fault tolerant quantum computer could be further reduced but overcomes two key challenges for the implementation of quantum LDPC (qLDPC) codes.

Alice & Bob recently announced the tape out of a chip that would encode their first logical qubit prototype, known as Helium 1. When logical qubits with a sufficiently low error rate are implemented and using the cat qubit LDPC code technique, Alice & Bob would be capable of harnessing the computing power of 100 logical qubits with as little as 1,500 physical qubits, to run fault-tolerant algorithms.

As leading superconducting quantum computing manufacturers like IBM offer up to 1,121 physical qubits, outperforming classical computers in the simulation of quantum systems (quantum supremacy) is a milestone that would become attainable within current hardware capabilities using Alice & Bob new architecture.

In previously proposed qLDPC codes implementation, most notably IBMs last years paper, long-range qubit connectivity and high-weight stabilizers were required, which represent a daunting technical challenge. In contrast, Alice & Bobs combined approach of cat qubits with classical LDPC codes allows the use of short-range, local qubit interactions and low-weight stabilizers.

This simpler architecture enables for the first time the implementation of a fault-tolerant set of parallelizable logical gates without additional hardware complexity. Allowing for logical gates is a necessary step for the implementation of quantum algorithms and practical quantum computing altogether.

About Alice & Bob

Alice & Bob is a start-up based in Paris and Boston whose goal is to realize the first universal, fault-tolerant quantum computer. Founded in 2020, Alice & Bob has already raised 30M in funding, hired over 80 employees, and demonstrated experimental results surpassing those of technological giants like Google or IBM. Alice & Bob specializes in cat qubits, a technology pioneered by the companys founders and later adopted by Amazon. Demonstrating the power of its cat architecture, Alice & Bob recently showed it could reduce hardware requirements to build a large-scale useful quantum computer by up to 200 times compared to competing approaches.

Source: Alice & Bob

Originally posted here:
Alice & Bob Advance Quantum Computing with Fewer Qubits Needed for Error Correction - HPCwire

While Wall Street seemingly cant get enough of artificial intelligence, a paradigm shift in the computing ecosystem could draw more eyeballs to quantum computing stocks. According to Investopedia, the underlying arena leverages the principle of quantum theory, which explains the behavior of energy and material on the atomic and subatomic levels.

Now, we dont need to turn this article into a science journal. However, when one of the fascinating components of quantum mechanics is the ability for particles to exist in more than one state at the same time. As it relates to the digitalization protocol, quantum computers could theoretically solve and run multiple problems and processes simultaneously. Its a massive accelerant compared to the classical approach, making quantum computing stocks a must-watch arena.

To be sure, its a young and burgeoning field. What Im trying to say is that myriad risks exist. Nevertheless, this innovation can swing open doors regarding productivity acceleration and even the strengthening of national security.

If you can handle the risk, below are compelling quantum computing stocks to buy and hold.

Source: shutterstock.com/LCV

In recent years, Ive shied away from running my mouth against the collective wisdom of Wall Street analysts. They get paid tons of money so they should know what theyre doing (I guess). But when it comes to IBM (NYSE:IBM), Im going to make an exception. Its easily one of the quantum computing stocks to buy and hold.

You can make the argument that if theres any enterprise that truly meets that definition for instance, if you theoretically had to make a claim under oath IBM stands alone. Yes, its a consensus hold and yes, the average price target of $163.85 implies significant downside risk. Im undeterred. First, were talking about a company that was around when William Howard Taft was the President of the United States. Its staying for the long haul.

More importantly, IBM delivered profound innovations in artificial intelligence, machine learning and enterprise cybersecurity. It continues to push the envelope with its various quantum computing technologies. While youre waiting for the narrative to pan out, Big Blue offers a forward dividend yield of 3.84%. Combined with an undervalued forward earnings multiple of 17.49X, IBM makes a great case for quantum computing stocks.

Source: Evolf / Shutterstock.com

Ive also been avoiding talking about this next company but for basically opposite reasons to IBM. Seemingly, no one can get enough of Nvidia (NASDAQ:NVDA). With its advanced graphics processing units (GPUs) undergirding AI applications, NVDA managed to skyrocket last year. Even more impressive, it has taken the momentum into this year. Since the beginning of January, NVDA popped up nearly 24%.

To be sure, analysts peg NVDA as a consensus strong buy and thats not a cheap assessment either. It breaks down as 33 buys and four holds. No ones going to be reckless enough to issue a sell rating. However, the concern many have is that NVDA lacks the legs to complete another marathon. Still, the experts disagree, projecting a price target of $674.68 or over 13% up.

While Nvidia generates headlines for its AI-related products, its also investing in quantum computing. Last year, the enterprise announced a new system to help build new applications that combine quantum with the most advanced classic computing hardware. With so many relevancies in key areas, NVDA legitimately makes a case for quantum computing stocks to buy and hold.

Source: T. Schneider / Shutterstock

Moving into the pure-play arena of quantum computing stocks, D-Wave Quantum (NYSE:QBTS) claims to be the worlds first company to sell computers that exploit quantum effects in their operation. While that may sound like an outrageous statement, D-Wave backs up the hype with substance. Specifically, it has partnered with several high-profile institutions in the past, including Lockheed Martin (NYSE:LMT) and the University of Southern California.

Looking ahead, D-Wave Quantum may offer the best upside among quantum computing stocks. Currently, QBTS enjoys a unanimous strong buy rating among three analysts within the past three months. If you extend out to the trialing year, that comes out to four buys. Moreover, the average price target clocks in at $2.17, implying over 177% upside potential.

Now, while D-Wave purports to offer quantum applications to address myriad problems from portfolio optimization to traffic congestion, the harsh reality is that QBTS is a literal penny stock. That means it could be a top performer or it could become one of the worst. Still, if you have some pocket change lying around, why waste it? Instead, QBTS seems a solid speculative opportunity.

On Penny Stocks and Low-Volume Stocks:With only the rarest exceptions, InvestorPlace does not publish commentary about companies that have a market cap of less than $100 million or trade less than 100,000 shares each day. Thats because these penny stocks are frequently the playground for scam artists and market manipulators. If we ever do publish commentary on a low-volume stock that may be affected by our commentary, we demand thatInvestorPlace.coms writers disclose this fact and warn readers of the risks.

Read More:Penny Stocks How to Profit Without Getting Scammed

On the date of publication, Josh Enomoto did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

A former senior business analyst for Sony Electronics, Josh Enomoto has helped broker major contracts with Fortune Global 500 companies. Over the past several years, he has delivered unique, critical insights for the investment markets, as well as various other industries including legal, construction management, and healthcare. Tweet him at @EnomotoMedia.

Visit link:
3 Quantum Computing Stocks to Buy and Hold Forever: January 2024 - InvestorPlace

A Taiwanese research institute has connected to the internet what is being reported as the nation's first home-grown quantum computer.

VIEW GALLERY - 2 IMAGES

The announcement of the successful connection occurred on January 19 and details Taiwan's first domestically built quantum computer that will be used as a test bed for researchers both on-site and elsewhere around the world. Collaborators on the project include the University of California, Santa Barbara, the University of Wisconsin-Madison, the Industrial Technology Research Institute, the National Changhua Normal University, the National Central University, and the National Chung Hsin University.

Academia Sinica's website states the quantum computer was completed back in October last year, but it was only connected to the internet in January this year, marking a milestone in Taiwan's exponential development into quantum computing. The intent of this step forward in the quantum computing industry is to demonstrate the capabilities of the new technology by solving basic problems. After that has been successfully demonstrated, researchers can move on to the next breakthrough application.

"The success of this project at this stage should prove the characteristics of technological research and development," said James Liao, president of Academia Sinica. "Only after a period of patiently solving basic problems can the next application breakthrough be achieved."

"It is hoped that Academia Sinica's small step will drive the development of quantum research and related industries in Taiwan, attract more domestic and foreign talents to participate in the event, and seize opportunities for Taiwan in the field of quantum technology," added Liao

Original post:
Taiwan's first home-grown quantum computer is now connected to the internet - TweakTown