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The First 5 <b>Quantum Computing</b> Stocks I'd Buy If I Were Starting From Scratch

Quantum computing isn't some far-fetched technology that seems like it belongs in a sci-fi movie. It's real technology that's already being used in some industries with success, and widespread quantum computing isn't that much farther in the future. This makes it vital for investors to position their portfolio for success now, as the hype behind quantum computing could cause a handful of these stocks to skyrocket once the market wakes up to the potential of its widespread usage. If I were starting my portfolio over, I'd scoop up these five quantum computing stocks today. While this investment portfolio is quantum-focused, I think it has what it takes to outperform the market over the long haul as well. Pure plays: IonQ and D-Wave Quantum Both IonQ (IONQ +2.69%) and D-Wave Quantum (QBTS +1.68%) are popular quantum computing investments. They are pure plays, so they have only one goal: to create a viable quantum computer that is widely used. If they fail at this task, their stocks will head to $0. Fortunately for their shareholders, these two are already seeing success and are on a solid pathway to becoming much larger companies. NYSE: IONQ Key Data Points IonQ owns the world record for the most accurate quantum computer. This is a huge deal because quantum computers' high error rates are one of the primary issues that must be fully addressed before they will be suitable for widespread usage. The other is scale: Quantum computers need to operate with a lot of qubits to handle the types of complicated computations that are expected to provide the bulk of their use cases. IonQ recently announced a new plan detailing how it can scale its technology up to a 10,000-qubit quantum computer. This would be a major breakthrough and establish it as a top competitor

<b>Quantum</b> Art Extends Series A to $140M to Scale Trapped-Ion Architecture

Quantum Art, an Israeli-based developer of full-stack trapped-ion quantum computers, has extended its Series A financing to $140 million. Led by Bedford Ridge Capital, the extension follows an initial $100 million round announced in December 2025 and includes new participation from Hudson Bay Capital, Poalim Equity, LIP Ventures, Wolverine Global Ventures, and IDA Ventures. The capital is designated for the development of Perspective, the company’s 1,000-qubit multi-core system, and the advancement of optical technologies required for large-scale qubit scaling. Founded in 2022 as a spin-off from the Weizmann Institute of Science, Quantum Art utilizes a 2D trapped-ion architecture designed to overcome the connectivity and scaling limitations common in linear trap designs. The company is now entering its commercialization phase, which includes the launch of a Quantum as a Service (QaaS) platform. This offering is intended to provide customers with a staged path from algorithm co-development to execution on live hardware, serving as a bridge to the eventual deployment of stand-alone, on-premises systems. The funding will also support the expansion of the company’s global business development team and its 2D architecture roadmap. CEO Dr. Tal David noted that the investment reflects a transition from foundational technology development to market deployment. By focusing on multi-core modularity, Quantum Art aims to maintain qubit performance—specifically high gate fidelities—as it increases system capacity for industrial-scale applications in optimization and simulation. You can find the official announcement regarding the Series A extension here and refer to our previous coverage of the initial $100 million Series A round here. April 27, 2026

IQM to Deploy Japan's First Enterprise-Purchased <b>Quantum Computer</b>

IQM Quantum Computers has reached an agreement with TOYO Corporation for the sale and deployment of an IQM Radiance 20-qubit system. This transaction marks the first instance of an enterprise-purchased quantum computer deployment in Japan. The full-stack superconducting system is scheduled for delivery by the end of 2026 and will be accessible to Japanese researchers and industrial users via both on-premises and cloud environments. The deployment is intended to support Japan’s national quantum strategy, which targets 10 million domestic users and 50 trillion yen in production value by 2030. TOYO Corporation will utilize the hardware to develop industry-specific use cases, integrate quantum processing with high-performance computing (HPC) infrastructure, and facilitate technical workforce training. This system represents IQM’s third major deployment in the Asia-Pacific region, following established installations in South Korea and Taiwan. According to Jan Goetz, CEO of IQM, the purchase signals a shift toward leading enterprises owning and operating their own quantum infrastructure to build long-term capabilities. TOYO Corporation, a provider of advanced measurement solutions across sectors such as autonomous vehicles and sustainable energy, plans to use the Radiance system to advance “social implementation” of quantum technologies in Japan. The partnership aims to transition the local quantum ecosystem from theoretical research toward practical, manufacturing-integrated applications. You can find the official press release regarding the deployment to TOYO Corporation here. April 27, 2026 Leave A Comment

<b>Quantum</b> Art Extends Series A to $140M to Scale Trapped-Ion Architecture

Quantum Art, an Israeli-based developer of full-stack trapped-ion quantum computers, has extended its Series A financing to $140 million. Led by Bedford Ridge Capital, the extension follows an initial $100 million round announced in December 2025 and includes new participation from Hudson Bay Capital, Poalim Equity, LIP Ventures, Wolverine Global Ventures, and IDA Ventures. The capital is designated for the development of Perspective, the company’s 1,000-qubit multi-core system, and the advancement of optical technologies required for large-scale qubit scaling. Founded in 2022 as a spin-off from the Weizmann Institute of Science, Quantum Art utilizes a 2D trapped-ion architecture designed to overcome the connectivity and scaling limitations common in linear trap designs. The company is now entering its commercialization phase, which includes the launch of a Quantum as a Service (QaaS) platform. This offering is intended to provide customers with a staged path from algorithm co-development to execution on live hardware, serving as a bridge to the eventual deployment of stand-alone, on-premises systems. The funding will also support the expansion of the company’s global business development team and its 2D architecture roadmap. CEO Dr. Tal David noted that the investment reflects a transition from foundational technology development to market deployment. By focusing on multi-core modularity, Quantum Art aims to maintain qubit performance—specifically high gate fidelities—as it increases system capacity for industrial-scale applications in optimization and simulation. You can find the official announcement regarding the Series A extension here and refer to our previous coverage of the initial $100 million Series A round here. April 27, 2026 Leave A Comment

Waterloo <b>quantum</b> startup QuantumCore secures $10.7m | ETIH EdTech News

University of Waterloo startup QuantumCore secures $10.7 million six months after launch A University of Waterloo research spin-off is moving toward commercialization with new funding, a public listing, and hardware designed to tackle signal challenges in quantum computing. QuantumCore, a startup spun out of research at the Institute for Quantum Computing at the University of Waterloo, has raised $10.7 million in dilutive and non-dilutive funding and completed a public listing just over six months after launch, as university research commercialization continues to move into deep tech infrastructure. The company was co-founded by Dr. Christopher Wilson, Institute for Quantum Computing faculty member, Professor in the Department of Electrical and Computer Engineering, and Chief Technology Officer at QuantumCore, alongside Eugene Profis, Co-Founder and Chief Executive Officer. The University of Waterloo and the Institute for Quantum Computing shared the development on LinkedIn, stating that QuantumCore is developing an amplifier designed to boost read-out signals produced by a superconducting quantum chip at near absolute zero temperatures and move those signals into room temperature environments. QuantumCore targets quantum hardware read-out challenge QuantumCore’s technology focuses on one of the engineering issues facing superconducting quantum computing: how to read signals from quantum chips operating at cryogenic temperatures without losing signal quality or adding unwanted noise. The company says its amplifier is designed to support signal transfer from superconducting quantum chips into room temperature systems. That places QuantumCore in the infrastructure layer of quantum computing, where component reliability can affect how quickly research systems move toward larger, deployable machines. Dr. Wilson, says: “It’s a necessary product for quantum computing companies that are just a few years away from launching computers with thousands of qubits.” University research moves toward commercialization The Institute for Quantum Computing describes itself as a research center in quantum information science and technology at the

Scientists Were Wrong About This Strange “Rule-Breaking” Particle

A long-suspected crack in particle physics may have closed, but the search for what lies beyond continues. A long-standing mystery in particle physics may have just been resolved, but not in the way many scientists had hoped. For years, a key particle seemed to defy the known rules of physics, hinting that the universe might be hiding unknown forces or exotic new particles. Now, new research suggests that the apparent rule-breaking was an illusion, caused by the extreme difficulty of the calculations rather than new physics. For more than 50 years, measurements of a key property of the muon, a heavier and short-lived relative of the electron, did not match theoretical expectations. This gap fueled speculation that undiscovered physics could be influencing the results. In a study published in Nature, researchers report one of the most precise calculations ever achieved in the field. Their results show that the Standard Model, which describes the fundamental components of matter, remains accurate. “There were many calculations in the last 60 years or so, and as they got more and more precise they all pointed toward a discrepancy and a new interaction that would upend known laws of physics,” said Zoltan Fodor, distinguished professor of physics at Penn State and lead author of the study. “We applied a new method to calculate this discrepancy quantity, and we showed that it’s not there. This new interaction we hoped for simply is not there. The old interactions can explain the value completely.” Precision, Disappointment, and Confirmation The work took more than a decade to complete and brings theoretical predictions and experimental measurements into agreement within half a standard deviation. According to Fodor, this level of precision would have been difficult to achieve even ten years ago. The findings reinforce confidence in the Standard Model to 11

Nvidia Just Announced a Major <b>Quantum Computing</b> Development | The Motley Fool

Nvidia (NVDA +4.30%) is primarily known for its graphics processing units (GPUs) -- parallel processors that excel in handling the workloads for accelerated computing applications. These have been widely deployed in an artificial intelligence (AI) setting, and surging demand for them from data centers has transformed Nvidia into the world's largest company. However, Nvidia has made it pretty clear that it isn't planning on building a quantum processing unit (QPU) for the next era of computing. Instead, it believes that the best way for it to participate in the nascent quantum computing space is to focus on the hybrid computing aspect, where a quantum computer is aided by classical computing infrastructure. Still, that isn't stopping Nvidia from being associated with quantum computing. Nvidia just announced another major quantum computing development, and it could bring quantum computers into the mainstream faster than most realize. Nvidia created its own AI model for quantum computers Nvidia announced a new AI model that's directly set up to help quantum computers out. Its specific use cases involve calibrating quantum computers and enhancing their error correction processes. Quantum computers are incredibly sensitive to interference -- an issue that results in them being error-prone. Those high error rates are the primary reason why quantum computing isn't being widely used yet. Nvidia says its Ising model's error correction is up to 2.5 times faster and 3 times more accurate than "traditional" approaches, and it has already been deployed by several research facilities and a handful of companies. NASDAQ: NVDA Key Data Points This could be a huge deal for Nvidia, as it continues to solidify its place in the quantum computing world. Last year, it debuted NVQLink, which provides a plug-in for quantum computers that enables them to interface directly with Nvidia's existing GPU infrastructure. Additionally, Nvidia's CUDA-Q

Top <b>Quantum Computing</b> Stocks to Buy in April | The Motley Fool

Quantum computing technology isn't so far out that investors can ignore it. It's coming faster than most people think, and in order to realize maximum gains, investors need to start positioning their portfolios accordingly to take advantage of what could be a massive industry. Currently, the quantum computing market has relatively few sales of early-stage systems, and most revenue is derived from research partnerships and contracts. However, by 2035, McKinsey & Company estimates that the quantum computing industry could generate up to $72 billion in annual revenue. That's a huge opportunity expected to emerge over the next decade, and widespread quantum computing could be available as soon as 2030. As a result, investors have no time to lose in filling their portfolios with top quantum computing picks, as the best gains will come in the early days of the rollout, when there's the most uncertainty about who will win. I've got three stocks that I think are fantastic quantum computing investments, and make for genius buys in April. IonQ IonQ (IONQ 2.15%) is my top pure-play quantum computing pick. IonQ has no other businesses outside of quantum computing; if it fails in this task, it's probably going to $0. That's a scary outlook, but if you look at its technology, IonQ looks likely to win in this space. It uses trapped-ion technology, which gives it an accuracy advantage over some popular quantum computing methods. It also recently unveiled its blueprint to build a quantum computer with 10,000 qubits -- a mark some consider the minimum threshold for a commercially viable quantum computer. NYSE: IONQ Key Data Points The military also selected IonQ (along with a handful of others) for its DARPA contract, which showcases IonQ's prowess when compared to several other leading quantum computing companies. I think this gives plenty

3 Impressive <b>Quantum Computing</b> Stocks to Buy Now

Key Points IonQ's quantum technology is the most accurate available at present. D-Wave's specialized quantum computers are already being heavily used. Alphabet's quantum computers are making waves in multiple industries. Quantum computing isn't just an unrealistic technology; it's making a real impact in today's world. It will only be a few more years before we see widespread quantum computing usage, and it's best to position yourself in these stocks before it happens. Most of the growth in this space will come in the early adoption years, and being first to the party always has its advantages. There are three quantum computing stocks I've got on my radar right now that could deliver monstrous returns over the next decade and look like great investments now. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue » IonQ Few companies have as much momentum in the quantum computing space as IonQ(NYSE: IONQ). It has the world's most accurate quantum computing technology, which is key because quantum computing accuracy is the one thing holding this technology back from more widespread use. It has achieved these records through a unique architecture, known as trapped-ion technology. There are some strengths and weaknesses with this approach -- it's more accurate, but processing is slower -- but it has allowed it to take a commanding lead over its peers. Its accuracy is a key reason it was selected by the Defense Advanced Research Projects Agency (DARPA) for a contract that will pioneer quantum computing usage in the military. This is a big deal and showcases that IonQ's products are among the best available. It is also seeing a growing number of early stage hardware sales

Fire Opal Optimization Solver Runs Natively On IonQ <b>Quantum</b> Cloud

Q-CTRL’s Fire Opal software is now directly integrated into IonQ Quantum Cloud, eliminating a significant hurdle to accessing the power of quantum computing. The integration provides a fully configured, easy-to-use function within the cloud platform, designed to deliver real-world results in sectors like logistics, finance, and energy without requiring specialized quantum expertise. Even experts often struggle with the complex parameter tuning needed to extract solutions from quantum hardware; Q-CTRL and IonQ are addressing this challenge with a native optimization solver accessible on IonQ’s Forte and Forte-Enterprise devices. “The capability to solve world-changing problems is right there inside of these extraordinary machines,” said Alex Shih, VP of Product at Q-CTRL. “We’re thrilled to partner with IonQ in empowering customers with the quantum-control infrastructure software that brings this power within reach.” Fire Opal Optimization Solver Integrates with IonQ Forte Processors Achieving a correct solution from 68 billion possibilities is now within reach thanks to a new integration between Q-CTRL’s Fire Opal software and IonQ’s Forte quantum processors. The companies have natively integrated Fire Opal’s Optimization Solver directly into IonQ Quantum Cloud, offering a fully configured function designed to bypass the need for extensive, specialized quantum expertise typically required to extract meaningful results from quantum hardware. This integration accelerates real-world applications across sectors like logistics, finance, and energy. The challenge for even expert quantum computing users lies in the manual parameter tuning and adjustments necessary to achieve high-quality solutions, a process demanding significant skill and time. Q-CTRL and IonQ aim to lower these barriers, allowing end users to focus on their specific optimization problems while Fire Opal automatically manages execution on the hardware. IonQ Quantum Cloud users can now access the solver on both Forte and Forte-Enterprise devices, the company’s highest-performing commercially available quantum computers. This integration builds on existing Fire Opal performance-management

<b>Quantum</b> Clocks Market 2026–2030 report presenting the latest developments and ...

Quantum Clocks Market 2026â2030 report presenting the latest developments and emerging growth trends. The Business Research Companyâs Quantum Clocks Global Market Report 2026 â Market Size, Trends, And Forecast 2026â2030 LONDON, GREATER LONDON, UNITED KINGDOM, April 26, 2026 /EINPresswire.com/ -- The quantum clocks market is gaining remarkable traction as advancements in technology drive demand for ultra-precise timekeeping devices. These instruments, which leverage quantum mechanics to achieve exceptional accuracy, are becoming increasingly vital across various industries. Letâs explore the current market size, key factors influencing growth, prominent regions, and the future outlook for this emerging sector. Steady Market Expansion and Projected Growth in the Quantum Clocks Market The quantum clocks market has witnessed substantial growth in recent years, expanding from $0.94 billion in 2025 to an anticipated $1.15 billion in 2026. This represents a compound annual growth rate (CAGR) of 22.4%. Growth during this period has been fueled by the rising demand for precise timekeeping in telecommunications, broader adoption of atomic clocks in research settings, expanding GPS infrastructure, increased use in defense and aerospace sectors, and technological progress in rubidium and cesium atomic clocks. Download a free sample of the quantum clocks market report: https://www.thebusinessresearchcompany.com/sample.aspx?id=33663&type=smp&utm_source=EINPresswire&utm_medium=Paid&utm_campaign=Mar_PR Looking ahead, the market is expected to continue its rapid upward trajectory, reaching approximately $2.6 billion by 2030 with a CAGR of 22.6%. This forecasted surge is driven by several factors, including greater deployment of optical lattice clocks, increasing use of quantum network clocks, rising demand for ultra-stable hydrogen maser clocks, growth in space-grade clock applications, and integration of quantum clocks into next-generation telecommunications and GPS systems. Emerging trends shaping this growth include wider adoption of chip-scale atomic clocks, demand for portable and interconnected quantum clocks, enhanced integration with GPS and telecom networks, expansion of ultra-precise timekeeping for research, and a stronger focus on space and

XRP's <b>Quantum</b> Countdown Begins as Whales Drain Exchange Reserves

XRP's Quantum Countdown Begins as Whales Drain Exchange Reserves 26.04.2026 - 22:30:35 | boerse-global.deWhile much of the crypto world obsesses over XRP's next price move, Ripple is quietly laying the groundwork for a technological shift that could redefine the network's security architecture. The company behind the XRP Ledger has unveiled a roadmap to make its infrastructure fully resistant to quantum computing attacks by 2028, a move that positions the protocol for a post-quantum era that many in the industry have only begun to contemplate. The strategy employs a hybrid approach, with new quantum-safe systems running alongside existing cryptographic standards during the transition period. Ripple has partnered with Project Eleven to accelerate development, focusing on validator testing and initial prototypes for secure custody solutions. A key component of the plan is the "Quantum Day" emergency protocol, designed to activate if current encryption methods fall unexpectedly fast. Market observers view this as a proactive defense against "harvest now, decrypt later" attacks, where hackers intercept encrypted data today with the intention of cracking it once quantum computers become powerful enough. Exchange Exodus Meets Institutional Influx On the market side, a striking divergence is unfolding. Nearly 35 million XRP tokens were pulled from exchanges in a single day last Saturday, marking the sixth-largest daily outflow of the year, according to Santiment analysts. Investors are increasingly moving their holdings into private wallets, tightening the available supply on the sell side. Simultaneously, whale behavior is shifting. The 90-day average of large transactions has turned positive for the first time since the start of the year, signaling that major network participants are accumulating again. This aligns with a broader institutional push: US spot ETFs tracking XRP have recorded net inflows for three consecutive weeks, with roughly $83 million flowing into these products. Total assets under management for

The Scientific Prelude To <b>Quantum Computing</b>

From Planck’s 1900 quantum hypothesis to Bell’s theorem, the EPR paradox, and the no-cloning theorem — the 80-year scientific prelude that made quantum computing possible. Quantum computing did not arrive in 1980. It arrived in 1900, when Max Planck reluctantly proposed that energy might come in discrete packets; again in 1905, when Einstein took the idea seriously enough to apply it to light; and again across the next eight decades, as the implications worked their way through theory, experiment and information science. By the time Paul Benioff, Yuri Manin, Richard Feynman and David Deutsch began asking whether quantum mechanics could be turned into a computational substrate, almost everything they needed was already in place. This article walks the eighty-year scientific prelude to quantum computing, from the trouble with black-body radiation through Bell’s theorem, the Aspect experiments, the no-cloning theorem and BB84. Table of Contents The Trouble With Black Bodies The opening problem was prosaic. By the late nineteenth century, classical physics could describe the radiation given off by a hot body across most of the spectrum, but at short wavelengths, the predictions diverged from experiment in a way that nobody could fix. The mathematics insisted that an ideal radiator should emit infinite energy at ultraviolet frequencies, which was both physically absurd and contradicted by every measurement ever made. The discrepancy became known as the ultraviolet catastrophe, and through the 1890s it was the most embarrassing unresolved puzzle in theoretical physics. On 14 December 1900, Max Planck presented a paper to the German Physical Society in Berlin proposing a solution that he himself disliked. If electromagnetic radiation could only be emitted in discrete packets of energy, with each packet proportional to the frequency through a small constant later named after him, then the catastrophe disappeared, and the observed black-body spectrum fell

<b>Quantum computer</b> breaks 15-bit elliptic curve cryptographic key | MEXC News

The Bitcoin community continues to debate whether cryptographically relevant quantum computers are imminent or decades away. Project Eleven, a quantum security research company, awarded a prize to researcher Giancarlo Lelli for using a quantum computer to break a 15-bit elliptic-curve key — a small-scale version of the same cryptography used in Bitcoin, which relies on far larger 256-bit keys. Lelli was able to derive a private key from the public key paired to it, using a “variant” of Shor’s algorithm, an integer factorization algorithm for quantum computers, according to Project 11’s announcement on Friday. Bitcoin’s keys are 256 bits long, representing a “large” gap from the 15-bit key Lelli was able to crack, Project 11 said. However, the gap between Bitcoin’s 256-bit keys and the number of bits a quantum computer can factor has “fallen sharply” since 2025. Project 11 added. Read more Source: https://cointelegraph.com/news/quantum-computer-bit-elliptic-curve-key?utm_source=rss_feed&utm_medium=feed&utm_campaign=rss_partner_inbound

<b>Quantum Computers</b> Are Not A Threat To 128-bit Symmetric Keys | Hackaday

A lot has been made about a post-quantum computer future in which traditional encryption methods have suddenly been rendered obsolete. With this terrifying idea in mind, it’s reassuring to see some recent pushback to the idea with some factual evidence. In a recent blog post by [Filippo Valsorda] – a cryptography engineer – the point is raised that 128-bit symmetric keys like AES-128 and SHA-256 are at risk of being obliterated in a post-quantum future. Rather than just taking [Filippo]’s word for it, he takes us through a detailed explanation of the flawed understanding of Grover’s algorithm that underlies much of the panic. While it’s very true that this quantum search algorithm can decrease the amount of time required to find a solution, the speed-up with a single thread is quadratic, not exponential. While asymmetric cryptography systems like ECDH, RSA, and kin are very much at risk courtesy of Shor’s algorithm, the same is not true for symmetric systems. An interesting detail with Grover’s is also that you cannot simply run a search in parallel to get a corresponding speed-up, as it’s not a parallel problem. Barring a breakthrough that replaces Grover’s with something that lends itself better to such a parallel search, it would seem that we won’t have to abandon classical encryption any time soon. Incidentally, even for Shor’s algorithm, there are still some hold-ups. Current quantum computers are not even able to factor 21 yet. Meanwhile, supposed quantum computing breakthroughs are being trolled with a Commodore 64. They’re not really a threat to anything else either. Every paper where an encryption key has been “broken” engaged in what should honestly be called fraud: keys that are within 5 of each other, keys that are mostly zeros, keys that are structurally defective in other ways. All rendering the

You Wouldn't Download A Combustion Engine | Hackaday

Although 3D printing it a great tool for making all sorts of things, the nature of the plastics used in most desktop FDM printers means it isn’t the first tool most would think of to build an internal combustion engine. [Alexander] is evidently not most people, as he’s on his third generation 3D printed engine. There are 3D printed pumps to distribute coolant water and oil, plus some clever engineering in the head to make sure they don’t mix — a problem with a previous iteration. As you probably guessed, the engine isn’t fully printed. Assembling it requires add-on hardware for things like bearings, belts, and filters. But it’s still impressive just how much of this beast is actually made of plastic. Not even fancy engineering plastic, either — there are a few CF-Nylon parts, but most of it is apparently good old ASA and ABS. If you’re looking for “cheats”, the plastic engine block does get a stainless steel sleeve, and the head is CNC’d aluminum, but we hesitate to call anything that gets a homemade engine running a “cheat”. It’s hard enough using all the ‘right’ materials. Just like another 3D printed engine we featured, the carb is also an off-the-shelf component. Still, it’s the dancing bear all over again: it’s not how well it runs that impresses, but the fact that it runs at all. We’ve also seen hackers use 3D printing to make steam engines, hot-air Stirling engines, and electric motors— all with varying amounts of non-printed parts. You actually have options if you dont want to cheat. Markforged has metal-infused filaments that include materials like titanium and Inconel. They have to be sintered in an oven of course, and they are not cheap. But on the other hand, where I work we purchased a Mantle