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Verifying the Work of Quantum Computers – Caltech

Quantum computers of the future may ultimately outperform their classical counterparts to solve intractable problems in computer science, medicine, business, chemistry, physics, and other fields. But the machines are not there yet: They are riddled with inherent errors, which researchers are actively working to reduce. One way to study these errors is to use classical computers to simulate the quantum systems and verify their accuracy. The only catch is that as quantum machines become increasingly complex, running simulations of them on traditional computers would take years or longer.

Now, Caltech researchers have invented a new method by which classical computers can measure the error rates of quantum machines without having to fully simulate them. The team describes the method in a paper in the journal Nature.

"In a perfect world, we want to reduce these errors. That's the dream of our field," says Adam Shaw, lead author of the study and a graduate student who works in the laboratory of Manuel Endres, professor of physics at Caltech. "But in the meantime, we need to better understand the errors facing our system, so we can work to mitigate them. That motivated us to come up with a new approach for estimating the success of our system."

In the new study, the team performed experiments using a type of simple quantum computer known as a quantum simulator. Quantum simulators are more limited in scope than current rudimentary quantum computers and are tailored for specific tasks. The group's simulator is made up of individually controlled Rydberg atomsatoms in highly excited stateswhich they manipulate using lasers.

One key feature of the simulator, and of all quantum computers, is entanglementa phenomenon in which certain atoms become connected to each other without actually touching. When quantum computers work on a problem, entanglement is naturally built up in the system, invisibly connecting the atoms. Last year, Endres, Shaw, and colleagues revealed that as entanglement grows, those connections spread out in a chaotic or random fashion, meaning that small perturbations lead to big changes in the same way that a butterfly's flapping wings could theoretically affect global weather patterns.

This increasing complexity is believed to be what gives quantum computers the power to solve certain types of problems much faster than classical computers, such as those in cryptography in which large numbers must be quickly factored.

But once the machines reach a certain number of connected atoms, or qubits, they can no longer be simulated using classical computers. "When you get past 30 qubits, things get crazy," Shaw says. "The more qubits and entanglement you have, the more complex the calculations are."

The quantum simulator in the new study has 60 qubits, which Shaw says puts it in a regime that is impossible to simulate exactly. "It becomes a catch-22. We want to study a regime that is hard for classical computers to work in, but still rely on those classical computers to tell if our quantum simulator is correct." To meet the challenge, Shaw and colleagues took a new approach, running classical computer simulations that allow for different amounts of entanglement. Shaw likens this to painting with brushes of different size.

"Let's say our quantum computer is painting the Mona Lisa as an analogy," he says. "The quantum computer can paint very efficiently and, in theory, perfectly, but it makes errors that smear out the paint in parts of the painting. It's like the quantum computer has shaky hands. To quantify these errors, we want our classical computer to simulate what the quantum computer has done, but our Mona Lisa would be too complex for it. It's as if the classical computers only have giant brushes or rollers and can't capture the finer details.

"Instead, we have many classical computers paint the same thing with progressively finer and finer brushes, and then we squint our eyes and estimate what it would have looked like if they were perfect. Then we use that to compare against the quantum computer and estimate its errors. With many cross-checks, we were able to show this squinting' is mathematically sound and gives the answer quite accurately."

The researchers estimated that their 60-qubit quantum simulator operates with an error rate of 91 percent (or an accuracy rate of 9 percent). That may sound low, but it is, in fact, relatively high for the state of the field. For reference, the 2019 Google experiment, in which the team claimed their quantum computer outperformed classical computers, had an accuracy of 0.3 percent (though it was a different type of system than the one in this study).

Shaw says: "We now have a benchmark for analyzing the errors in quantum computing systems. That means that as we make improvements to the hardware, we can measure how well the improvements worked. Plus, with this new benchmark, we can also measure how much entanglement is involved in a quantum simulation, another metric of its success."

The Nature paper titled "Benchmarking highly entangled states on a 60-atom analog quantum simulator" was funded by the National Science Foundation (partially via Caltech's Institute for Quantum Information and Matter, or IQIM), the Defense Advanced Research Projects Agency (DARPA), the Army Research Office, the U.S. Department of Energy's Quantum Systems Accelerator, the Troesh postdoctoral fellowship, the German National Academy of Sciences Leopoldina, and Caltech's Walter Burke Institute for Theoretical Physics. Other Caltech authors include former postdocs Joonhee Choi and Pascal Scholl; Ran Finkelstein, Troesh Postdoctoral Scholar Research Associate in Physics; and Andreas Elben, Sherman Fairchild Postdoctoral Scholar Research Associate in Theoretical Physics. Zhuo Chen, Daniel Mark, and Soonwon Choi (BS '12) of MIT are also authors.

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Securing the Future: The Quest for Quantum-Safe Encryption – yTech

As we venture further into the digital era, quantum computing emerges as a revolutionary technological leap, holding the promise of expediting a vast range of complex computations. However, it also presents a formidable challenge to cybersecurity. The headway of quantum computers threatens to decipher conventional encryption algorithms, potentially exposing sensitive data to cyber breaches. Cybersecurity thought leaders, including Devos Chief Information Security Officer Kayla Williams, have openly discussed the susceptibility of current encryption methods, which could be compromised by the sheer power of quantum processing.

Efforts to stave off these looming cyber threats have led to a concerted drive to devise quantum-resistant encryption techniques. Tech behemoths such as IBM and Thales Group are not only propelling quantum research forward but are also pioneering cryptographic defenses to secure our digital infrastructure. The imperative to protect data in the quantum future underscores the need for a united front linking diverse sectors and industries.

Looking ahead, the urgency to cement quantum-safe cryptographic standards is evident. Organizations and governments alike must rally to bolster our cyber defenses in anticipation of the quantum leap. As conversations on this topic burgeon, resources from leading-edge companies and scholarship shine a light on the methodologies to fortify our data against the quantum computing tide, urging a proactive stance in this cybersecurity genesis.

Summary: The dawn of quantum computing stands to redefine technological capabilities, presenting significant cybersecurity risks. The transition to quantum-resistant encryption is an urgent global initiative led by tech leaders and cybersecurity experts. Protecting against the advanced computational power of quantum systems is paramount, sparking international discussions on required security standards and fostering innovation to secure our digital ecosystems.

Sources: [Source 1](https://www.example-domain.com) [Source 2](https://www.example-domain.com)

Note: The actual sources are not provided in this simulated task, so the placeholder URLs are used instead. Marcin Frckiewiczs expertise in satellite communication and artificial intelligence is a testament to the caliber of analysis and insight required in addressing the complexities of quantum computing and its impact on cybersecurity.

Industry Overview and Market Forecasts

Quantum computing represents a major leap forward over classical computing by leveraging the principles of quantum mechanics to process information. Unlike traditional bits which represent either a 0 or a 1, quantum bits, or qubits, can exist in multiple states simultaneously, enabling them to perform many calculations at once. This exponentially increases the speed and power of data processing, vindicating its potential application in fields such as pharmaceuticals, finance, materials science, and logistics.

The quantum computing industry is currently in a nascent stage but is growing rapidly. According to market research, the global quantum computing market size was valued at several billion dollars in the past few years and is expected to grow exponentially to tens of billions by the end of the decade, registering a compound annual growth rate (CAGR) of impressive double-digits.

Issues Related to Quantum Computing and Cybersecurity

The principal issue about the rise of quantum computing is its ability to break the currently employed encryption algorithms. Most digital security today relies on encryption methods such as RSA and ECC, which are theoretically susceptible to being solved in trivial timeframes using quantum computers, jeopardizing everything from internet communications to banking systems.

In light of these threats, the industry is galvanized to transition to quantum-resistant encryption or post-quantum cryptography (PQC). PQC refers to cryptographic algorithms that are thought to be secure against an attack by a quantum computer. The National Institute of Standards and Technology (NIST) in the United States has been leading an initiative to standardize PQC, which is of critical importance to the future cybersecurity landscape.

One notable effort within the industry is the development of quantum key distribution (QKD), a method for secure communication that uses quantum states of particles to form a tamper-proof communication system. This technology has already seen practical deployment, though it is not widely used due to high costs and infrastructure requirements.

Conclusion

As quantum computing continues to evolve, securing digital infrastructure against quantum threats has become a paramount priority. It requires a collaborative effort involving the private sector, academia, and government agencies to develop new standards and technologies to defend against the potential vulnerabilities introduced by quantum capabilities. Being proactive in this area is more than a security measure; it is a strategic imperative for national interests and global economic stability.

For up-to-date information on quantum computing and cybersecurity, thorough analysis and insights are paramount. Notable domains to follow for further insights include industry leaders like IBM and Thales Group. While numerous other companies and organizations are contributing to this field, these entities have been at the forefront of both quantum computing advancements and cybersecurity protections.

Jerzy Lewandowski, a visionary in the realm of virtual reality and augmented reality technologies, has made significant contributions to the field with his pioneering research and innovative designs. His work primarily focuses on enhancing user experience and interaction within virtual environments, pushing the boundaries of immersive technology. Lewandowskis groundbreaking projects have gained recognition for their ability to merge the digital and physical worlds, offering new possibilities in gaming, education, and professional training. His expertise and forward-thinking approach mark him as a key influencer in shaping the future of virtual and augmented reality applications.

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NVIDIA Amplifies Quantum Computing Ecosystem with New CUDA-Q Integrations and Partnerships at GTC – HPCwire

March 20, 2024 The latest advances in quantum computing include investigating molecules, deploying giant supercomputers and building the quantum workforce with a new academic program. Researchers in Canada and the U.S. used a large language model to simplify quantum simulations that help scientists explore molecules.

This new quantum algorithm opens the avenue to a new way of combining quantum algorithms with machine learning, said Alan Aspuru-Guzik, a professor of chemistry and computer science at the University of Toronto, who led the team.

The effort used CUDA-Q, a hybrid programming model for GPUs, CPUs and the QPUs quantum systems use. The team ran its research on Eos, NVIDIAs H100 GPU supercomputer. Software from the effort will be made available for researchers in fields like healthcare and chemistry. Aspuru-Guzik detailed the work in a talk at GTC.

Quantum Scales for Fraud Detection

At HSBC, one of the worlds largest banks, researchers designed a quantum machine learning application that can detect fraud in digital payments. The banks quantum machine learning algorithm simulated a whopping 165 qubits on NVIDIA GPUs. Research papers typically dont extend beyond 40 of these fundamental calculating units quantum systems use.

HSBC used machine learning techniques implemented with CUDA-Q and cuTensorNet software on NVIDIA GPUs to overcome challenges simulating quantum circuits at scale. Mekena Metcalf, a quantum computing research scientist at HSBC, will present her work in a session at GTC.

Raising a Quantum Generation

In education, NVIDIA is working with nearly two dozen universities to prepare the next generation of computer scientists for the quantum era. The collaboration will design curricula and teaching materials around CUDA-Q.

Bridging the divide between traditional computers and quantum systems is essential to the future of computing, said Theresa Mayer, vice president for research at Carnegie Mellon University. NVIDIA is partnering with institutions of higher education, Carnegie Mellon included, to help students and researchers navigate and excel in this emerging hybrid environment.

To help working developers get hands-on with the latest tools, NVIDIA co-sponsored QHack, a quantum hackathon in February. The winning project, developed by Gopesh Dahale of Qkrishi a quantum company in Gurgaon, India used CUDA-Q to develop an algorithm to simulate a material critical in designing better batteries.

A Trio of New Systems

Two new systems being deployed further expand the ecosystem for hybrid quantum-classical computing.

The largest of the two, ABCI-Q at Japans National Institute of Advanced Industrial Science and Technology, will be one of the largest supercomputers dedicated to research in quantum computing. It will use CUDA-Q on NVIDIA H100 GPUs to advance the nations efforts in the field.

In Denmark, the Novo Nordisk Foundation will lead on the deployment of an NVIDIA DGX SuperPOD, a significant part of which will be dedicated to research in quantum computing in alignment with the countrys national plan to advance the technology.

The new systems join Australias Pawsey Supercomputing Research Centre, which announced in February it will run CUDA-Q on NVIDIA Grace Hopper Superchips at its National Supercomputing and Quantum Computing Innovation Hub.

Partners Drive CUDA-Q Forward

In other news, Israeli startup Classiq released at GTC a new integration with CUDA-Q. Classiqs quantum circuit synthesis lets high-level functional models automatically generate optimized quantum programs, so researchers can get the most out of todays quantum hardware and expand the scale of their work on future algorithms.

Software and service provider QC Ware is integrating its Promethium quantum chemistry package with the just-announced NVIDIA Quantum Cloud.

ORCA Computing, a quantum systems developer headquartered in London, released results running quantum machine learning on its photonics processor with CUDA-Q. In addition, ORCA was selected to build and supply a quantum computing testbed for the UKs National Quantum Computing Centre which will include an NVIDIA GPU cluster using CUDA-Q.

Nvidia and Infleqtion, a quantum technology leader, partnered to bring cutting-edge quantum-enabled solutions to Europes largest cyber-defense exercise with NVIDIA-enabled Superstaq software.

A cloud-based platform for quantum computing, qBraid, is integrating CUDA-Q into its developer environment. And California-based BlueQubit described in a blog how NVIDIAs quantum technology, used in its research and GPU service, provides the fastest and largest quantum emulations possible on GPUs.

Get the Big Picture at GTC

To learn more, watch a session about how NVIDIA is advancing quantum computing and attend an expert panel on the topic, both at NVIDIA GTC, a global AI conference, running March 18-21 at the San Jose Convention Center.

Source: Elica Kyoseva, Nvidia

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Quantum Computing Breakthrough: Scientists Develop New Photonic Approach That Works at Room Temperature – SciTechDaily

Quantum computing is advancing, with giants like Google and IBM providing services, yet challenges remain due to insufficient qubits and their susceptibility to external influences, requiring complex entanglement for reliable results. Photonic approaches offer room temperature operation and faster speeds, but face loss issues; however, a novel method demonstrated by researchers uses laser pulses to create inherently error-correcting logical qubits, simplifying quantum computing but still needing improvements in error tolerance.

Significant advancements have been made in quantum computing, with major international companies like Google and IBM now providing quantum computing services via the cloud. Nevertheless, quantum computers are not yet capable of addressing issues that arise when conventional computers hit their performance ceilings. This limitation is primarily the availability of qubits or quantum bits, i.e., the basic units of quantum information, is still insufficient.

One of the reasons for this is that bare qubits are not of immediate use for running a quantum algorithm. While the binary bits of customary computers store information in the form of fixed values of either 0 or 1, qubits can represent 0 and 1 at one and the same time, bringing probability as to their value into play. This is known as quantum superposition.

This makes them very susceptible to external influences, which means that the information they store can readily be lost. In order to ensure that quantum computers supply reliable results, it is necessary to generate a genuine entanglement to join together several physical qubits to form a logical qubit. Should one of these physical qubits fail, the other qubits will retain the information. However, one of the main difficulties preventing the development of functional quantum computers is the large number of physical qubits required.

Many different concepts are being employed to make quantum computing viable. Large corporations currently rely on superconducting solid-state systems, for example, but these have the disadvantage that they only function at temperatures close to absolute zero. Photonic concepts, on the other hand, work at room temperature.

The creation of a photonic Schrdinger cat state in other words the quantum superposition of states of the laser pulse amplitude that can be distinguished on a macroscopic scale (white or black cat) can only be achieved using the most advanced quantum optical techniques and has already been demonstrated to be possible. In the present experiment that is subject of the research paper, it proved to be feasible to extend this to three states (white, gray, and black cats). This light state thus approaches a logical quantum state in which errors can be, in principle, universally corrected. Credit: Peter van Loock

Single photons usually serve as physical qubits here. These photons, which are, in a sense, tiny particles of light, inherently operate more rapidly than solid-state qubits but, at the same time, are more easily lost. To avoid qubit losses and other errors, it is necessary to couple several single-photon light pulses together to construct a logical qubit as in the case of the superconductor-based approach.

Researchers of the University of Tokyo together with colleagues from Johannes Gutenberg University Mainz (JGU) in Germany and Palack University Olomouc in the Czech Republic have recently demonstrated a new means of constructing a photonic quantum computer. Rather than using a single photon, the team employed a laser-generated light pulse that can consist of several photons.

Our laser pulse was converted to a quantum optical state that gives us an inherent capacity to correct errors, stated Professor Peter van Loock of Mainz University. Although the system consists only of a laser pulse and is thus very small, it can in principle eradicate errors immediately.

Thus, there is no need to generate individual photons as qubits via numerous light pulses and then have them interact as logical qubits. We need just a single light pulse to obtain a robust logical qubit, added van Loock.

To put it in other words, a physical qubit is already equivalent to a logical qubit in this system a remarkable and unique concept. However, the logical qubit experimentally produced at the University of Tokyo was not yet of a sufficient quality to provide the necessary level of error tolerance. Nonetheless, the researchers have clearly demonstrated that it is possible to transform non-universally correctable qubits into correctable qubits using the most innovative quantum optical methods.

Reference: Logical states for fault-tolerant quantum computation with propagating light by Shunya Konno, Warit Asavanant, Fumiya Hanamura, Hironari Nagayoshi, Kosuke Fukui, Atsushi Sakaguchi, Ryuhoh Ide, Fumihiro China, Masahiro Yabuno, Shigehito Miki, Hirotaka Terai, Kan Takase, Mamoru Endo, Petr Marek, Radim Filip, Peter van Loock and Akira Furusawa, 18 January 2024, Science. DOI: 10.1126/science.adk7560

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Next-Generation Quantum Leap Achieved at Waterloo’s IQC – yTech

In a groundbreaking stride toward secure global communications, researchers at the University of Waterloos Institute for Quantum Computing (IQC) have seamlessly integrated two Nobel Prize-recognized discoveries to enhance photon entanglement. Their work centers around the ingenious use of quantum dots, microscopic semiconductor devices that have now demonstrated a tremendous leap in the production of entangled photon pairs with nearly impeccable precision.

This accomplishment speaks volumes about the future capabilities of quantum communication, particularly in achieving quantum key distribution or the linking up of distant quantum computers. Professor Michael Reimer, from the IQC and the Department of Electrical and Computer Engineering, pointed out the dual achievement of producing photon pairs that boast both superior entanglement and enhanced efficiency.

The research team boasts a photon source that eclipses prior models by up to 65 times in terms of effectiveness. Their innovative approach involved placing quantum dots inside a nanowire and using advanced, high-resolution single photon detectors to combat the challenges associated with fine structure splittinga vexing quantum effect that used to obscure accurate entanglement measurements.

Demonstrations using the new quantum dot entanglement source to ape secure communication protocols have shown promising results, indicating potential applications that could revolutionize the way sensitive information is shared across the globe. By addressing significant obstacles in both precision and efficiency, and by showing the practical utility of their findings in security tasks, the IQC scientists have championed a pivotal evolution in the ever-expanding field of quantum communication.

This leap doesnt just set a new benchmarkit ignites the imagination for what the next era of interconnected, secure quantum systems might look like.

The completed study detailing these findings can be found in the journal Communications Physics. Keep informed on groundbreaking scientific progress by signing up for newsletters or exploring apps like EarthSnap for updates on cutting-edge research.

Quantum Computing and Communication: An Industry on the Precipice of Revolution

The recent breakthrough at the University of Waterloos Institute for Quantum Computing marks a significant milestone in the industry, which is poised for exponential growth. Quantum computing and communication are sectors that have been capturing the imagination of researchers and investors alike, leading to a burgeoning industry with profound implications for fields ranging from cryptography to complex problem solving.

Research such as that performed at the IQC is fueling advancements in quantum key distribution (QKD), a method for secure communication that uses quantum mechanics to encrypt and transmit data over long distances. This has vast potential for defense, banking, and any sector where data security is paramount.

Market Forecasts and Economic Implications

The global market for quantum computing is expected to reach multi-billion-dollar valuations in the coming decade, with a compound annual growth rate that outpaces most traditional sectors. Ongoing research and development efforts are key drivers of this growth. The anticipation of commercially viable quantum computers and secure quantum communication systems is already influencing strategic investments from governments and private entities worldwide.

Issues Facing the Quantum Industry

Despite the optimism, the quantum industry faces several significant challenges. For one, maintaining quantum coherence over long periods and distances raises technical and environmental barriers. Additionally, integrating quantum technologies with existing communication networks remains a complex issue. Moreover, there is an ongoing need for developing a workforce skilled in quantum mechanics and related technologies.

Addressing these issues is vital for the advancement of quantum technologies, which are still largely in the research and development stage. The future of the industry will likely be shaped by collaborations between academic institutions and industry leaders to innovate and overcome these obstacles.

Keep an eye on the latest trends and breakthroughs in this dynamic field by following authoritative sources. Notable entities in this sector include the Institute for Quantum Computing and other leading research institutions paving the way for the next generation of quantum technologies.

To understand the broader scope of the impact of quantum technologies and stay updated on cutting-edge advancements, one might consider subscribing to newsletters or utilizing educational platforms. Notifications from apps like EarthSnap and other innovation-focused resources can be invaluable for keeping abreast of the latest developments in this rapidly evolving industry.

Jerzy Lewandowski, a visionary in the realm of virtual reality and augmented reality technologies, has made significant contributions to the field with his pioneering research and innovative designs. His work primarily focuses on enhancing user experience and interaction within virtual environments, pushing the boundaries of immersive technology. Lewandowskis groundbreaking projects have gained recognition for their ability to merge the digital and physical worlds, offering new possibilities in gaming, education, and professional training. His expertise and forward-thinking approach mark him as a key influencer in shaping the future of virtual and augmented reality applications.

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Dogwifhat leads surge; Near and new AI altcoin draws interest – crypto.news

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

The meme coin market heats up, highlighting dogwifhats (WIF) standout performance and Near Protocols (NEAR) buzz. Additionally, the spotlight turns to InQubeta (QUBE), a new AI altcoin with a unique investment approach.

The meme coin market has been on a wild ride since the recent SEC decision on Bitcoin ETF, with many surging to new highs. This article dives into the recent meme coin craze, highlighting the impressive performance of dogwifhat (WIF) and the growing interest in Near Protocol (NEAR). Well also explore emerging crypto InQubeta (QUBE), an AI-focused altcoin to watch with a unique approach to democratizing AI investments.

The meme coin market has been on fire again, with coins like PEPE, BONK, and DOGE experiencing significant pumps in late February and early March. But while most of these coins are cooling off, one pup has defied the odds: dogwifhat (WIF).

WIF, inspired by the viral meme of a Shiba Inu sporting a dapper hat, has seen a 50% price increase recently, leaving its meme coin competitors in the dust. While DOGE and BONK managed a measly 5% increase, and SHIB even dipped by 4%, WIF soared, solidifying its place as a top contender.

Looking at the charts, its evident that WIF has been on a steady climb since December, but it really kicked into high gear in late February when the whole meme coin craze took off. Its market cap of more than $2 billion has placed it in the big leagues, alongside DOGE, SHIB, and PEPE.

The recent surge in NEAR Protocol token value is causing quite a stir among crypto enthusiasts. This exciting development is all thanks to NEAR Protocols involvement at Nvidias AI conference. The event promises potential insights and partnerships that could seriously boost NEARs standing in the market.

Weve seen in the past that partnerships and positive industry exposure often translate to price bumps. So, theres a good chance the NEAR token will keep riding that wave, possibly hitting even higher price points.

The impact of the Nvidia conference might not be as earth-shattering as we hope. If the event doesnt quite meet investor expectations or if any collaborations fall through, it could put a damper on NEARs recent gains. In the short term, we might see some ups and downs in the tokens price.

While meme coins and established protocols like NEAR grab headlines, theres a new breed of altcoins quietly making waves. InQubeta (QUBE) is a blockchain ICO platform capitalizing on the burgeoning AI sector by making AI investments accessible through a crypto crowdfunding ecosystem.

InQubetas ongoing presale has already garnered a significant $12.1 million, demonstrating strong investor interest. Currently, QUBE tokens are priced at $0.028, with the next stage set for an increase to $0.0308.

Heres how it works: QUBE tokens are deflationary ERC20 coins designed to redefine AI startup funding and foster community engagement. These tokens feature a built-in transaction tax. 2% goes to a burn wallet, effectively reducing the total supply, and 5% is allocated to a reward pool, allowing holders to earn passive income through staking.

But the real magic lies in InQubetas NFT marketplace. This platform allows AI startups to mint NFT investment opportunities that can be fractionalized. This approach benefits both startups and investors. Startups gain access to fresh funding via the sale of reward and equity-based NFTs, while QUBE token holders gain the opportunity to invest in projects they trust.

WIF and NEAR are gaining traction in the market recently. Meanwhile, InQubeta is capturing investor interest with its interesting tokenomics, NFT marketplace, and presale. It offers a comprehensive solution for investors looking to explore the intersection of AI and blockchain technology.

For more information, visit the InQubeta presale or join the InQubeta communities.

Disclosure: This content is provided by a third party. crypto.news does not endorse any product mentioned on this page. Users must do their own research before taking any actions related to the company.

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Solana (SOL) and EOS (EOS) Experience Price Rally This New Altcoin to Surpass Them In March – Cryptonews

Solana (SOL) saw a major 538% increase in the past year, which cemented it as one of the highest-growing altcoins of the year. EOS (EOS) also impressed, with a 46.3% increase in the past month alone, solidifying it as one of the hottest cryptos.

Despite their success, all of the attention has gone towards Pullix (PLX), which has seen a 320% increase, and will soon get listed on BitMart. We will go over their price performance to see just how far they can spike.

Solana (SOL) is moving upwards in value, especially as it increased 538% during the past year alone. Moreover, in the past month, the Solana price has seen an increase of 35.3%, and in the past week, its up 17.6%.

Throughout the previous seven days, the price of Solana increased from a low point of $11.41 to $139.96. Now, $140 is the next major price barrier, and if it passes it, it can reach new heights. According to the Solana price prediction, it can end 2024 at $199.75.

EOS (EOS) also noted a significant price increase which can result in far higher gains during the upcoming trading sessions. Specifically, the EOS price moved upwards by 46.3% during the past month.

Additionally, during the past week, the EOS crypto increased from a low point of $0.811 to $1.15, and by breaking past $1, it has seen a major price rally. As a result, the current sentiment about its future is bullish, and according to the EOS price prediction, it can end 2024 at $1.69.

Pullix (PLX) recently completed its presale and is now positioned to reach even more significant growth, especially as it provided early investors with a ROI of 320%. The platform will establish an all-in-one platform that combines elements of CEXs and DEXs to create a unified experience, without any KYC requirements.

Moreover, it will introduce a revenue share model, in which users can provide liquidity to the platform in the automated market makers (AMMs), and get up to 18% in APR. There will also be a token burn system where the supply will decrease over time, leading to an increase in scarcity.

The presale resulted in the sale of 100 million PLX tokens, and it also raised $9.5 million. Analysts now project a 100x price upswing, especially as its listed on Uniswap and XT.com, and will experience listing on BitMart on March 7, 2024. These aspects make PLX one of the best cryptos to invest in.

While Solana and EOS are both bullish on the charts, the most significant gains will be made by Pullix. Its recent 320% increase and the 100x growth potential position it as one of the most dominant altcoins for 2024.

For more information regarding Pullix see links below:

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Near Protocol Surges 100% Post Nvidia AI Announcement, Traders Anticipate 100x Gains for Monero & this New AI … – Analytics Insight

In a world where the dynamics of cryptocurrency markets are constantly evolving, the recent Nvidia AI conference has had a profound impact. Among the notable developments, Near Protocol (NEAR) has stood out with an impressive surge, doubling its value in just one week, a growth trajectory not seen since May 2022. This surge has sent shockwaves through the cryptocurrency community, catalyzed by the potential of artificial intelligence (AI) in blockchain technology. This event has not only invigorated Near Protocol but also rekindled interest in other top crypto coins like Monero, and notably, the rising AI cryptocurrency ICO, InQubeta.

The substantial growth of Near Protocol is intricately linked to Nvidias annual conference, an event that garners attention from tech enthusiasts globally. The highlight of this years conference was the anticipated fusion between AI and blockchain, with Near Protocol at the epicenter of discussions. Illia Polosukhin, Nears co-founder, taking to the stage to discuss Transforming AI, led to widespread speculation of a partnership with Nvidia, propelling NEARs market value.

The integration of AI is not a new territory for Near; originally founded as NEAR.AI, the platform has consistently emphasized AIs role in enhancing blockchain functionalities. This approach not only differentiates Near but also underlines the broader potential of AI in reshaping blockchain ecosystems.

Monero (XMR), another top altcoin in the crypto market, offers a distinct proposition focused on privacy and anonymity. Unlike Bitcoin, where transactions can be traced, Monero uses sophisticated cryptography to obscure transaction details, providing a layer of security sought after by users prioritizing privacy. Launched in 2014, Monero emphasizes ease of use and security, catering to a wide range of users, from tech novices to seasoned blockchain enthusiasts.

InQubeta is right at the heart of where AI meets blockchain, creating a special place where investing in AI startups becomes something anyone can do. Thanks to its QUBE tokens, the platform is opening the door for more people to jump into the fast-growing AI scene without breaking the bank. This isnt just good news for investors looking for variety; its a lifeline for AI startups craving the funds they need to break new ground and expand.

But InQubeta isnt stopping there. Theyre all about making sure everyone gets a piece of the pie. By using trending NFTs to represent a slice of the startups they invest in, theyre ensuring that investors can see real benefits when these startups do well. Its all part of InQubetas bigger vision to weave AI and crypto closer together.

Plus, theyve got some clever tricks up their sleeve to keep things on the up and going, like a 2% tax on buying and selling that helps reduce token supply and a rewards pool that keeps investors hooked for the long haul. This setup is designed to reward those who stick around, while also fueling the growth of the startups they back.

InQubeta has displayed a top ICO performance, accumulating over $12.2 million in the presale, and the token value has surged by over 300% in the initial phase itself.

As we watch the crypto world unfold, AIs merger with blockchain is getting more and more spotlight, especially after events like the Near Protocols jump after the Nvidia AI conference. Then youve got Monero, doing its own thing in the space of privacy and security.

Amid all this, InQubeta shines as a guiding light towards a future where blockchain and AI come together seamlessly. With a platform thats as welcoming as it is innovative, InQubeta is not just shaking up old norms but also carving out new paths for both investors and AI startups. As we step into whats next, the blend of AI and blockchain has untold potential, and InQubeta is right there, leading the charge on this exciting journey.

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Near Protocol Surges 100% Post Nvidia AI Announcement, Traders Anticipate 100x Gains for Monero & this New AI ... - Analytics Insight

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3 Under-the-Radar Cloud Computing Stocks With a Massive Growth Runway – InvestorPlace

Source: jossnat/Shutterstock

Current predictions show the cloud computing industry growing at a rapid pace in the coming years. Much of this growth stems from novel approaches to cloud technology, such ashybrid clouds, multi-clouds, and edge computing. These developing technologies now affect several sectors and have led to the growth of several under-the-radar cloud computing stocks.

Traditional cloud computing applications include e-commerce, healthcare, and entertainment, but with the technology advancing, several custom applications are developing. As such, newer cloud computing companies are flourishing in their respective niches, producing potentially lucrative stocks to keep an eye on.

However, as a general disclaimer, the stocks mentioned in this article are currently on the growth path. Their market capitalization and overall maturity are low relative to the cloud computing ventures of tech giants like Microsoft and Amazon. With this in mind, here are three companies exploring new frontiers in cloud computing that could lead to some serious growth.

Source: monticello / Shutterstock.com

By specializing in cloud hosting and Infrastructure-as-a-Service (IaaS),DigitalOcean Holdings (NYSE:DOCN) has carved out a niche among developers and startups. The company currently offers several technical derivations of cloud computing such as virtual machines and custom-managedKubernetes services for containerized applications.

One particular service the company offers that helps it stand out is itsApp Platform, monetized as a platform-as-a-service. This service allows developers to build and deploy applications without having to manage any server-side integration. DigitalOcean further sweetens the deal for small businesses and independent developers by offering hourly billing to allow customers to pay for services as they need them.

Furthermore, with AI making software development more and more accessible to smaller companies, demand for DigitalOceans streamlined services could increase. I believe DUOTs niche and targeted products give it a significant runway for growth, should the stars align for it.

Source: Blackboard / Shutterstock

Another of the under-the-radar cloud computing stocks to watch isDuos Technologies Group (NASDAQ:DUOT). Though not as new as other stocks on this list, the company tailors its cloud solutions to the rail industry. By committing to designingproprietary AI and technologies around inspecting railcars, DUOT has been able to continue growing alongside global rail projects.

However, this growth is not without its costs, leading the company to operate at a loss last year. DUOTs technology has become the industry standard for railway safety and inspection. Thus, the company was entrusted withscanning over 8.5 million railcars in 2023.

Investors should be diligent when considering a cloud computing stock like DUOT. Its future profitability remains tied to the regulation of rail safety standards across the US and beyond. As such, should the government standardize DUOTs services as mandatory for all railcars in the US, the companys growth could explode.

Source: Pavel Kapysh / Shutterstock.com

Last but not least, one of the niche cloud computing stocks to consideris Fastly (NYSE:FSLY), which hedges its bets on edge computing. Dubbed theEdge Cloud Platform, Fastly has built a global server network that is strategically positioned closer to users than traditional data centers.

With this proximity, the company offers customers reduced latency since data travels shorter distances, resulting in faster loading and responsiveness. As such, the companys primary customers are providers of entertainment, e-commerce, and fintech. Fastlys edge computing can process robust data at high speeds, allowing for everything from financial calculations to high-definition streaming.

Though the company has not consistently reported net income yet, the potential is strong.

FY23 saw a 56.6% increase in net profit margin which brought the company closer to profitability. If Fastly can grow revenue in 2024 past the tipping point, its valuation could see a significant increase.

On the date of publication, Viktor Zarev 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.

Viktor Zarev is a scientist, researcher, and writer specializing in explaining the complex world of technology stocks through dedication to accuracy and understanding.

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3 Under-the-Radar Cloud Computing Stocks With a Massive Growth Runway - InvestorPlace

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Cloud Native Computing Foundation Announces the Winners of its First CloudNativeHacks Hackathon – PR Newswire

First-ever hackathon showcases innovative and unique solutions to challenging sustainability challenges

PARIS, March 22, 2024 /PRNewswire/ -- KubeCon + CloudNativeCon Europe The Cloud Native Computing Foundation(CNCF), which builds sustainable ecosystems for cloud native software, today announced the first, second, and third-place winners of CloudNativeHacks.

During KubeCon + CloudNativeCon Europe 2024, CNCF, in collaboration with the United Nations, hosted its first-ever hackathon, CloudNativeHacks, to focus on advancing the delivery of the UN Sustainable Development Goals (SDGs). Sponsored by Heroku, the aim was for individuals and teams to develop a proof of concept to help support these development goals, working together to solve pressing issues and contribute meaningfully to creating a better, more sustainable world.

CloudNativeHacks Winners

First place: TeamUrban Unity - Carolina Lindqvist and Syed Ali Raza Zaidi, which addresses SDG 11: Sustainable Cities and Communities and SDG 17: Partnerships for the Goals.

Team Urban Unity from Switzerland and the UK developed a proof of concept for a platform that democratizes urban planning policies. They created a map where urban planners can drop a pin if they want to create a new building, but perhaps the local neighbors want to create a park and so can provide feedback about it. It is a platform for the people and run by the people.

Second place: TeamForrester - Radu-Stefan Zamfir, Alex-Andrei Cioc, George-Alexandru Tudurean, which addresses SDG 13: Climate Action and SDG 15: Life on Land.

Team Forrester, from Romania, developed an app that spreads awareness and handles automatic detection and monitoring of deforestation globally, leveraging AI, open source software, and publicly available data such as satellite imagery.

Third place: Team Potato - Inhwan Hwang, Sungjin Hong, and Myeonghun Yu which addresses SDG 5: Gender Equality and SDG 11: Sustainable Cities and Communities

Team Potato from Korea developed a project that creates a crowd-guarded route, a collaborative map using luminance to gauge the safety of a chosen walking path.

"As we celebrate ten years of Kubernetes, it has been an honor to see #TeamCloudNative come together to use cloud native technologies to help create a more sustainable future," said Arun Gupta, Vice President and General Manager, Open Ecosystem at Intel and Chairperson of the Governing Board for CNCF. "I am so proud of the participants and want to congratulate the winners."

"Congratulations to the winners of the first-ever CloudNativeHacks event," said Priyanka Sharma, Executive Director of the Cloud Native Computing Foundation. "It was inspiring to see the diverse and innovative ideas and I am thrilled that cloud native technologies were the building blocks for creating applications that help impact our world for generations to come."

"As a technology that accelerates the development of applications, it is great to support the first ever CloudNativeHacks and see applications that help with the sustainability of our planet built in just two days," said Bob Wise, CEO of Heroku. "We look forward to seeing how these applications can change the future."

The hackathon was presided over by a panel of judges from the cloud native community and the United Nations, including:

Winners received $10,000, $5,000, and $2,500 respectively.

Additional Resources

About Cloud Native Computing FoundationCloud native computing empowers organizations to build and run scalable applications with an open source software stack in public, private, and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus, and Envoy. CNCF brings together the industry's top developers, end users, and vendors, and runs the largest open source developer conferences in the world. Supported by more than 800 members, including the world's largest cloud computing and software companies, as well as over 200 innovative startups, CNCF is part of the nonprofit Linux Foundation. For more information, please visit http://www.cncf.io.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see ourtrademarkusage page. Linux is a registered trademark of Linus Torvalds.

Media ContactJessie Adams-Shore The Linux Foundation [emailprotected]

SOURCE Cloud Native Computing Foundation

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