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The explosive growth of generative artificial intelligence (GenAI) heralds opportunity and disruption across industries. It is transforming how we interact with technology itself. During this early phase of GenAI technology, organizations are exploring new ways to leverage this technology to unlock business value. While there is enormous promise, there are also some concerns.

The 2024 State of AI Report by Forrester reveals the current state of GenAI in terms of demand and supply, how companies are adopting it, and the factors enterprises should consider when preparing to implement the technology.

The latest report by Forrester suggests that a wave of disruption is coming. GenAI will add convenience and remove friction from experiences but there is still widespread confusion and misunderstanding about the technology. The daily announcements of new partnerships, features, services, and products related to GenAI are not helping with the confusion.

Large language models (LLMs) like OpenAIs GPT have been at the center of the GenAI growth. The Forrester report shows that a small number of key players dominate the LLM space. As the foundation models require years of development and millions of dollars of infrastructure, it is not surprising that the leading tech companies dominate this space.

The introduction of platforms like LoRA Land by Predibase is helping to level the playing field for smaller companies in the AI race. However, the larger tech companies are expected to continue their dominance, at least in the near future.

Forresters 2023 report showed that over 90 percent of AI-decision makers around the globe have plans to implement GenAI customer-facing and internal use cases. Based on the latest data, the production use cases for GenAI remain limited to sophisticated organizations.

Organizations are expecting broad value from GenAI, with productivity, innovation, and cost efficiencies being the top goals. However, organizations are yet to realize the bottom-line impact of their GenAI investments, which is leading to a more cautious approach where they start with internal use cases and then gradually move to customer-facing and other external applications.

The widespread adoption of GenAI is still handicapped by a lack of AI skills (30 percent), difficulty in integrating GenAI with existing infrastructure (28 percent), and data security and privacy concerns (28 percent).

Many organizations are waiting for the regulatory framework to mature and to have more clarity on the relevance of foundation models to their specific industries before they accelerate GenAI adoption.

GenAI is still new and has had remarkable growth since the start of 2023, however, it is still prone to hallucination, error, and bias. The technology is not designed to reason or fact-check, instead, it relies on millions of parameters and billions of data points to generate output.

The areas with the most impact of GenAI include employee productivity, customer support, and coding. These are functions that benefit the most from automating repetitive tasks to streamline workflows.

Based on the data collected in the study, Forester recommended setting governance guidelines and policies for the use of bring your own AI (BYOAI). As most of the AI operating in organizations is built by third-party vendors, organizations need to establish standards for evaluating GenAI in vendor solutions

Forrester also recommends leaders focus on high-value applications that have proven to deliver value. In addition, as GenAI becomes more complex, organizations must prepare to update their AI strategy with new standards and guardrails. There should be a continuous effort to keep evolving with the technology.

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Forrester's State of AI Report Suggests a Wave of Disruption Is Coming - HPCwire

CAMBRIDGE, United Kingdom and BERKELEY, Calif., Feb. 27, 2024 (GLOBE NEWSWIRE) -- Riverlane, the global leader in quantum error correction technology, and Rigetti (Nasdaq: RGTI), a pioneer in full-stack quantum-classical computing, today announced their participation in a project led by the US Department of Energys Oak Ridge National Laboratory (ORNL) to explore the challenges of integrating a quantum computer with a large-scale, supercomputing centre.

Quantum computers will play an important role in the future of computing as they promise to solve problems that are traditionally impossible to tackle on even the worlds largest classical supercomputers. As the performance of quantum computers improves, their integration with high-performance computing (HPC) to tackle complex computing challenges will become commonplace. We believe the result will be the ability to solve problems for society that are unsolvable today.

To assess the viability of integrating quantum computers into HPC environments, the project partners will build the first-ever benchmarking suite (QStone) for measuring the performance of a joint HPC + Quantum system. It will be run on ORNLs Summit, the fifth fastest supercomputer in the world, developed by IBM in 2018. For the quantum components, researchers will use simulated hardware based on key elements of Riverlanes quantum error correction stack, in particular its qubit control system which is already installed at the ORNL labs, and real remote hardware located at Rigettis headquarters in California.

ORNL is among the leaders in advanced quantum research with a dedicated team of researchers and a network of commercial, academic and government partnerships. Their work covers various research efforts from developing and benchmarking scalable, fault-tolerant algorithms to designing quantum sensors.

Riverlane, Rigetti and ORNL will publish the results of the project, sharing the key learnings about interoperability issues and performance from interfacing early quantum devices with HPC-infrastructure. This will include key learnings about whether quantum computers should be installed on-site or can be successfully used through remote access.

This project aims to move us ahead in making quantum computing devices both more practical in general and more interoperable with HPC systems. The benchmarking will help us explore and identify early challenges associated with such integration which will benefit future research in this space. We are proud to be part of this exciting initiative and understand more about how our quantum error correction stack can work in tandem with a world-leading supercomputing centre, said Marco Ghibaudi, Riverlane VP of Engineering.

Integrating quantum processors with modern HPC is an important next step in the evolution of both quantum computing and HPC. Collaborating with ORNL and Riverlane to develop and test the integration of Rigetti quantum hardware into ORNLs HPC systems could move us significantly closer to the deployment of the first quantum-enabled supercomputer, said Dr. Subodh Kulkarni, Rigetti CEO.

About Rigetti

Rigetti is a pioneer in full-stack quantum computing. The Company has operated quantum computers over the cloud since 2017 and serves global enterprise, government, and research clients through its Rigetti Quantum Cloud Services platform. The Companys proprietary quantum-classical infrastructure provides high performance integration with public and private clouds for practical quantum computing. Rigetti has developed the industrys first multi-chip quantum processor for scalable quantum computing systems. The Company designs and manufactures its chips in-house at Fab-1, the industrys first dedicated and integrated quantum device manufacturing facility. Learn more at http://www.rigetti.com

About Riverlane

Riverlanes mission is to make quantum computing useful sooner, starting an era of human progress as significant as the industrial and digital revolutions. To achieve this, Riverlane is building the Quantum Error Correction Stack to comprehensively control qubits and correct the billions of real-time data errors that prevent todays generation of quantum computers from achieving useful scale. Riverlanes customers are governments, quantum computer hardware companies and world-leading research labs. Investors include leading venture capital funds Molten Ventures, Amadeus Capital Partners and Cambridge Innovation Capital; the UKs national security investment fund (NSSIF); high-performance computing leader Altair; and the University of Cambridge.

Acknowledgement

This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Cautionary Language Concerning Forward-Looking Statements

Certain statements in this communication may be considered forward-looking statements within the meaning of the federal securities laws, including but not limited to, expectations with respect to the Companys business and operations, including its expectations related to the collaboration with Riverlane and ORNL to explore the challenges of integrating a quantum computer with a large-scale, supercomputing centre and the results of succeeding in such integration with HPC and the ability to solve problems that are unsolvable today through such integration. Forward-looking statements generally relate to future events and can be identified by terminology such as commit, may, should, could, might, plan, possible, intend, strive, expect, intend, will, estimate, believe, predict, potential, pursue, aim, goal, outlook, anticipate, assume, or continue, or the negatives of these terms or variations of them or similar terminology. Such forward-looking statements are subject to risks, uncertainties, and other factors which could cause actual results to differ materially from those expressed or implied by such forward-looking statements. These forward-looking statements are based upon estimates and assumptions that, while considered reasonable by Rigetti and its management, are inherently uncertain. Factors that may cause actual results to differ materially from current expectations include, but are not limited to: Rigettis ability to achieve milestones, technological advancements, including with respect to its roadmap, and develop practical applications; the potential of quantum computing; the ability of Rigetti to obtain government contracts and the availability of government funding; the ability of Rigetti to expand its QCS business; the success of Rigettis partnerships and collaborations; Rigettis ability to accelerate its development of multiple generations of quantum processors; the outcome of any legal proceedings that may be instituted against Rigetti or others; the ability to continue to meet stock exchange listing standards; costs related to operating as a public company; changes in applicable laws or regulations; the possibility that Rigetti may be adversely affected by other economic, business, or competitive factors; Rigettis estimates of expenses and profitability; the evolution of the markets in which Rigetti competes; the ability of Rigetti to implement its strategic initiatives, expansion plans and continue to innovate its existing services; disruptions in banking systems, increased costs, international trade relations, political turmoil, natural catastrophes, warfare (such as the ongoing military conflict between Russia and Ukraine and related sanctions and the state of war between Israel and Hamas and related threat of a larger regional conflict), and terrorist attacks; and other risks and uncertainties set forth in the section entitled Risk Factors and Cautionary Note Regarding Forward-Looking Statements in the Companys Annual Report on Form 10-K for the year ended December 31, 2022 and Quarterly Reports on Form 10-Q for the quarters ended March 31, 2023, June 30, 2023 and September 30, 2023, and other documents filed by the Company from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and the Company assumes no obligation and does not intend to update or revise these forward-looking statements other than as required by applicable law. The Company does not give any assurance that it will achieve its expectations.

Media Contact: press@rigetti.com

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Riverlane and Rigetti Computing Partner with Oak Ridge National Laboratory to Work to Improve HPC-Quantum ... - GlobeNewswire

This extreme fragility might make quantum computing sound hopeless. But in 1995, the applied mathematician Peter Shor discovered a clever way to store quantum information. His encoding had two key properties. First, it could tolerate errors that only affected individual qubits. Second, it came with a procedure for correcting errors as they occurred, preventing them from piling up and derailing a computation. Shors discovery was the first example of a quantum error-correcting code, and its two key properties are the defining features of all such codes.

The first property stems from a simple principle: Secret information is less vulnerable when its divided up. Spy networks employ a similar strategy. Each spy knows very little about the network as a whole, so the organization remains safe even if any individual is captured. But quantum error-correcting codes take this logic to the extreme. In a quantum spy network, no single spy would know anything at all, yet together theyd know a lot.

Each quantum error-correcting code is a specific recipe for distributing quantum information across many qubits in a collective superposition state. This procedure effectively transforms a cluster of physical qubits into a single virtual qubit. Repeat the process many times with a large array of qubits, and youll get many virtual qubits that you can use to perform computations.

The physical qubits that make up each virtual qubit are like those oblivious quantum spies. Measure any one of them, and youll learn nothing about the state of the virtual qubit its a part of a property called local indistinguishability. Since each physical qubit encodes no information, errors in single qubits wont ruin a computation. The information that matters is somehow everywhere, yet nowhere in particular.

You cant pin it down to any individual qubit, Cubitt said.

All quantum error-correcting codes can absorb at least one error without any effect on the encoded information, but they will all eventually succumb as errors accumulate. Thats where the second property of quantum error-correcting codes kicks in the actual error correction. This is closely related to local indistinguishability: Because errors in individual qubits dont destroy any information, its always possible to reverse any error using established procedures specific to each code.

Zhi Li, a postdoc at the Perimeter Institute for Theoretical Physics in Waterloo, Canada, was well versed in the theory of quantum error correction. But the subject was far from his mind when he struck up a conversation with his colleague Latham Boyle. It was the fall of 2022, and the two physicists were on an evening shuttle from Waterloo to Toronto. Boyle, an expert in aperiodic tilings who lived in Toronto at the time and is now at the University of Edinburgh, was a familiar face on those shuttle rides, which often got stuck in heavy traffic.

Normally they could be very miserable, Boyle said. This was like the greatest one of all time.

Before that fateful evening, Li and Boyle knew of each others work, but their research areas didnt directly overlap, and theyd never had a one-on-one conversation. But like countless researchers in unrelated fields, Li was curious about aperiodic tilings. Its very hard to be not interested, he said.

Interest turned into fascination when Boyle mentioned a special property of aperiodic tilings: local indistinguishability. In that context, the term means something different. The same set of tiles can form infinitely many tilings that look completely different overall, but its impossible to tell any two tilings apart by examining any local area. Thats because every finite patch of any tiling, no matter how large, will show up somewhere in every other tiling.

If I plop you down in one tiling or the other and give you the rest of your life to explore, youll never be able to figure out whether I put you down in your tiling or my tiling, Boyle said.

To Li, this seemed tantalizingly similar to the definition of local indistinguishability in quantum error correction. He mentioned the connection to Boyle, who was instantly transfixed. The underlying mathematics in the two cases was quite different, but the resemblance was too intriguing to dismiss.

Li and Boyle wondered whether they could draw a more precise connection between the two definitions of local indistinguishability by building a quantum error-correcting code based on a class of aperiodic tilings. They continued talking through the entire two-hour shuttle ride, and by the time they arrived in Toronto they were sure that such a code was possible it was just a matter of constructing a formal proof.

Li and Boyle decided to start with Penrose tilings, which were simple and familiar. To transform them into a quantum error-correcting code, theyd have to first define what quantum states and errors would look like in this unusual system. That part was easy. An infinite two-dimensional plane covered with Penrose tiles, like a grid of qubits, can be described using the mathematical framework of quantum physics: The quantum states are specific tilings instead of 0s and 1s. An error simply deletes a single patch of the tiling pattern, the way certain errors in qubit arrays wipe out the state of every qubit in a small cluster.

The next step was to identify tiling configurations that wouldnt be affected by localized errors, like the virtual qubit states in ordinary quantum error-correcting codes. The solution, as in an ordinary code, was to use superpositions. A carefully chosen superposition of Penrose tilings is akin to a bathroom tile arrangement proposed by the worlds most indecisive interior decorator. Even if a piece of that jumbled blueprint is missing, it wont betray any information about the overall floor plan.

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Never-Repeating Tiles Can Safeguard Quantum Information - Quanta Magazine

These three quantum computing stocks are worth buying in February 2024

Once people are done fawning over generative AI, investors might think, what will be the next big thing? The field ofquantum computingmay be just that. Quantum computing has the potential to solve complex problems that generally slow down classical computers, such as optimization, cryptography, machine learning, and simulation.

While quantum computing technology may still be in its infancy, investors desiring to invest in the up-and-coming technology should consider one of the following three quantum computing stocks with Strong Buy ratings from Wall Street analysts.

Source: T. Schneider / Shutterstock

D-Wave Quantum(NYSE:QBTS) is a well-established quantum computing company. In particular, D-Wave specializes inquantum annealing, a computing technique used to find the optimal solution for a given problem. The quantum computing firm has successfully built several quantum annealers withmore than 5,000 qubits, which allows greater potential for commercial applications.

D-Wave Quantum offers its quantum annealers and software tools through its cloud platform, Leap. QBTS also offers a suite of developer tools called Ocean, which helps users design, develop, and deploy quantum applications. The quantum computing company has a diverse customer base, includinggovernment agenciesand corporations. Most recently, D-Wavereleasedits 1200+ qubit Advantage2 quantum computing machine prototype. Those already subscribed to the D-Wave Leap platform can access the prototype and test out its capabilities.

Wall Streetanalysts expectD-Wave to generate more than $10.5 million in revenue at the end of 2023, representing a 47% YoY increase from the prior period. The market seems excited about D-Wave Quantums prospects. Shares have risen 117% over the past 12 months, and the company has a Strong Buy rating from Wall Street analysts.

Source: JHVEPhoto / Shutterstock.com

Advanced Micro Devices(NASDAQ:AMD) is a fabless chipmaker that initially made a name after dethroningIntel(NASDAQ:INTC) in the CPU market. AMD is now poised to challenge and siphon market share away from Nvidia in the AI space as the chipmaker prepares to enter the AI computing market in 2024. The chipmakerexpects to sell $2 billionin AI chips in 2024.

On top of tackling the artificial intelligence space, AMD has also made strides in quantum computing. The companys Zynq SoCs have been leveraged to create operating systems for quantum computers. Though AMDs quantum offerings are not a main line of business, as quantum computing becomes commercial, AMD will likely benefit from already having dipped its toes into the space.

Wall Street currently rates AMD as a Strong Buy, and the companys shares are likely to do well this year as its AI chips come to market.

Source: Shutterstock

Rigetti Computing(NASDAQ:RGTI) is a pure-play quantum computing business that isvertically integrated. This means the company is involved in both designing and manufacturing its multi-chip quantum processors. Rigetti uses superconducting circuits as qubits fabricated on silicon chips and operating at near-zero temperatures. To 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.

In January, Rigetti Computingannouncedthe availability of its 84-qubit Ankaa-2 quantum computing system, which will be accessible through Rigettis cloud service. RGTIs shares have risen 53% over the past twelve months. As the company continues to make advancements in its product, shares could rise even more.

Wall Street analysts have given the stock a resounding Strong Buy rating.

On the date of publication, Tyrik Torres 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.

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.

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Wall Street Favorites: 3 Quantum Computing Stocks with Strong Buy Ratings for February 2024 - InvestorPlace

A chilled CBD-infused Labatt Breweries beverage is coming to a market near you this December.

Fluent Beverage Company, the joint-partnership between the massive brewer Anheuser-Busch Inbev NV (EBR:ABI) and global cannabis pioneer Tilray Inc. (NASDAQ:TLRY), announced this week it will commercialize a non-alcoholic, CBD-infused beverage for Canadians likely hitting markets in December 2019.

Beer drinkers will know Anheuser-Busch by its Canadian subsidiary Labatt Breweries, which employs over 3,400 canucks and brews Budweiser, Kokanee, Stella Artois, Corona, Palm Bay and Mikes Hard Lemonade, to name a few.

The joint venture was announced in December 2018 when High Park, a wholly-owned subsidiary of Tilray, and Labatt partnered to research a non-alcoholic drink containing weed cannabinoids tetrahydrocannabinol (THC) and cannabidiol (CBD).

Each company is investing up to $50 million in the partnership, according to Benzinga.

The companies need more time to research beverages containing THC and will only be providing CBD-drinks in December, Fluents chief executive Jorn Socquet told the Canadian Press.

THC, the intoxicating compound in cannabis, is unstable and degrades too quickly for a reasonable shelf life whereas CBD, the non-intoxicating compound, remains potent and stable for longer, said Socquet.

What the drink will actually look like, taste like, or smell like isnt being revealed, but Socquet told the Canadian Press the non-alcoholic CBD-infused drink will likely be sparkling, slightly sweet and tea-like.

The partnership between Labatt and Tilray comes after two similar beer and weed partnership announcements from August 2019.

Molson Coors Brewing Co. (TSX:TPX.B) and Quebec-based HEXO Corp. (NYSE:HEXO) are partnering to get cannabis-infused non-acloholic drinks to Canadians, and Constellation Brands Inc.(NYSE:STZ)(NYSE:STZ.B) bought a 38 per cent majority share of Canopy Growth Corp. (NYSE:CGC)(TSE:WEED) in August to invest in a similar venture.

Canadians wont be able to crack a cold CBD one till the government passes the second wave of cannabis legalization, set for October 17 which will legalize beverages, edibles, vapes and topicals. Even then consumers will have to wait 60 days while companies give a mandatory notice to Health Canada before drinks sales kick off.

If everything goes according to plan, expect the tsunami of CBD-drinks to hit one week before Christmas.

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The Government of Canada invests $17.2M in quantum computing startups - Mugglehead